BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//talks.osgeo.org//foss4g-it-2023 BEGIN:VTIMEZONE TZID:GMT BEGIN:STANDARD DTSTART:20001029T030000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:GMT TZOFFSETFROM:+0100 TZOFFSETTO:+0000 END:STANDARD BEGIN:DAYLIGHT DTSTART:20000326T020000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:BST TZOFFSETFROM:+0000 TZOFFSETTO:+0100 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:pretalx-foss4g-it-2023-8CHP3M@talks.osgeo.org DTSTART;TZID=GMT:20230612T110000 DTEND;TZID=GMT:20230612T130000 DESCRIPTION:Enrico Borgogno Mondino\, Presidente AIT \nMonica Sebillo\, Pre sidente ASITA\nFrancesco Cupertino\, Rettore del Politecnico di Bari\nLeon ardo Damiani\, Direttore del DICATECh \nEugenio\, Di Sciascio\, Vicesinda co del Comune di Bari\nUmberto Fratino\, Presidente di Ordine Ingegneri di Bari \nAntonio Acquaviva\, Rappresentante del Consiglio nazionale dei Geo metri e Geometri laureati\nGiovanni Bruno\, Vicepresidente Ordine Geologi Puglia\n\nIl Telerilevamento nella Pubblica Amministrazione\, Tziana Bisa ntino (Dirigente del Centro Funzionale Decentrato della Protezione Civile – Regione Puglia) –\nNew Space Economy: Scenario and Perspectives for Earth Observation\, Antonio Messeni Petruzzelli (Delegato alla Ricerca del Politecnico di Bari)\n\n\nAIT2023 è l'11° Congresso della Associazione Italiana di Telerilevamento (AIT). L'AIT\, fin dalla sua fondazione nel 19 85\, è stata il soggetto di riferimento fondamentale per sostenere la com unicazione e il coordinamento delle attività scientifiche nel campo dell' Osservazione della Terra in Italia.\n\nL'AIT si propone di sostenere lo sv iluppo e la diffusione della cultura del Telerilevamento (TLR) in Italia\, favorendo le sue applicazioni ambientali e puntando ad avvicinare tra lor o i principali attori scientifici\, industriali e istituzionali. L'AIT sos tiene le iniziative nazionali di TLR in Italia favorendone l’internazion alizzazione. AIT organizza eventi e corsi e pubblica lo European Journal o f Remote Sensing in collaborazione con Taylors & Francis.\n\nAIT2023 è il luogo dove accademia\, industria\, professionisti e istituzioni\, in qual che modo coinvolti nel Telerilevamento e nell'Osservazione della Terra (EO )\, possono incontrarsi e discutere. Per i ricercatori AIT2023 è un'impor tante opportunità per presentare i loro recenti progressi a un pubblico v asto e transdisciplinare. Per l'industria è l'occasione per mostrare i re centi prodotti e servizi utili per la comunità del TLR. Infine\, ma non m eno importante\, per i partner professionali e per i decisori del territor io/acqua/urbano\, della conservazione\, della gestione delle risorse natur ali e della pianificazione territoriale\, AIT2023 è l'evento chiave per p resentare le proprie esperienze e aggiornare le proprie conoscenze nel cam po del TLR e dell’Osservazione della Terra. Per quanto riguarda il conve gno AIT\, saranno presi in considerazione tutti gli argomenti che riguarda no il telerilevamento remoto e prossimale\, l'analisi spaziale e la modell istica ambientale. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Opening Session AIT Congress - Enrico Borgogno-Mondino URL:https://talks.osgeo.org/foss4g-it-2023/talk/8CHP3M/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-XTQYVV@talks.osgeo.org DTSTART;TZID=GMT:20230612T143000 DTEND;TZID=GMT:20230612T144500 DESCRIPTION:The paper describes the integrated survey operations carried ou t on the Redisole dam (S.Giovanni in Fiore\, southern Italy)\, on the surr ounding area and on the internal and external parts of the artifact. The d am reservoir is not yet filled\, so that some elements usually not visible (spillway\, bottom outlet) could be surveyied and mapped.\nThis survey ha s involved the integration of different geomatic techniques\, which can be summarized as follows:\n- Georeferencing of the dam\, by means of the sur vey of fixed landmarks with triple frequency differential GPS\, in the RDN -ETRF2000 network\;\n- Quadcopter drone flight for the acquisition of ster eoscopic images for photogrammetric use for a surveyed area of about 25 he ctares\; the same drone has been used for obtaining close-up images for th e inspection of the bituminous surface of the dam. To this aim\, GCP have been positioned and their coordinates have been acquired acquisition with differential GPS and Total Station\;\n- Survey by long range Terrestrial L aser Scanner of the artifact\, of its components and of the surrounding ar ea (up to 500 m from the dam)\; the fixed landmarks and some Ground Contro l Points have been used\, also surveyied by drone photogrammetry. \n- Scan ning of the tunnels\, of the surface and bottom outlets as well as of the shaft\, with a series of static scans conducted with a high precision\, me dium range Terrestrial Laser Scanner.\n- Registration of the point clouds obtained and of DTM and DSM (provided by the Italian Ministry for the Envi ronment) with 1m spacing\n- Registration by the Persistent Scatterers (PS) provided by the Italian Ministry for the Environment.\nThe products obtai ned are:\n- External planimetry of the dam\, plano-altimetric rendering (e levated points and contour lines) in vector format\, manageable in CAD env ironment.\n- Map\, profiles and quoted sections of the tunnels\, of the bo ttom and surface outlets\, as well as of the shaft.\n- 3D textured model o f the entire site\;\n- Orthophoto of the whole site with 5 cm/pixel resolu tion\;\n- High resolution orthophoto projected on the dam wall\, for the v isual search of the critical points of the surface.\nThe future activities include:\n- The accurate identification of the PS present in the area and the measurement of their movements for the identification of any displace ments of the building and/or of the entire area\;\n- PS monitoring through periodic measurement via GNSS and TLS and comparison of relative movement s with those obtained via Differential Interferometric Synthetic Aperture Radar. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Integrated use of terrestrial geomatic techniques\, aerial lidar an d satellite SAR for the survey of a dam and the surrounding area - Serena Artese\, Michele Perrelli URL:https://talks.osgeo.org/foss4g-it-2023/talk/XTQYVV/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-URR3NB@talks.osgeo.org DTSTART;TZID=GMT:20230612T143000 DTEND;TZID=GMT:20230612T144500 DESCRIPTION:Since the deployment of the first satellite equipped with a Syn thetic Aperture Radar (SAR) into orbit in 1978\, the use of SAR imagery ha s been a vital part of several scientific domains\, including environmenta l monitoring\, early warning systems\, and public safety.\nSAR could be de scribed as "non-literal imaging" since the raw data does not resemble an o ptical image and is incomprehensible to humans.\nFor this reason\, raw dat a is typically processed to create a Single Look Complex (SLC) image\, whi ch is a high-resolution image of the scene being observed. The processing of raw data to create a SLC image involves several steps\, including range compression\, Doppler centroid estimation and azimuth compression.\nProce ssing raw data requires a significant amount of computer power\; as a resu lt\, it is almost never practical to do it on board. As a direct consequen ce\, the data is transmitted back to Earth to be processed.\nThe objective of next-generation studies [1] is to optimize Earth Observation (EO) data processing and image creation in order to deliver EO products to the end user with very low latency using a combination of advancements in the on-b oard parts of the data chain.\nIn this work\, we focus on a sea scenario a nd propose to eliminate any pre-processing by training a Deep Convolutiona l Neural Network (DCNN) to directly recognize bright targets on raw data. \nThis indeed might substantially shorten the delivery time thus improving the efficiency of satellite-based maritime monitoring services.\nIn this regard\, the availability of training data represents one of the critical issues for the development of machine learning algorithms. In fact\, the e fficacy of the final machine learning-powered solution for a specific appl ication is ultimately determined by the quality and amount of the training data.\nHowever\, to date\, there are no training SAR raw data available i n scientific literature with regard to the specific topic of sea scenario monitoring. Furthermore\, their generation from real data is a time-consum ing task.\nIn this work we propose and investigate physically and statisti cally based approaches to simulate a marine scenario and generate realisti c synthetic training SAR raw datasets.\nWe then trained and evaluated a st ate-of-the-art DCNN on the generated synthetic dataset and successively on real raw data extracted from ERS imagery archive. It is one of the first\ nexperiments proposed in the SAR literature and results are quite encourag ing\, as they reveal that a well-trained DCNN can correctly recognize stro ng scattering objects on SAR raw data. \n\n[1] M. Kerr\, et al. “EO-ALER T: a novel architecture for the next generation of earth observation satel lites supporting rapid civil alerts”\, in 71st International Astronautic al Congress (IAC)\, 2020.\n\nAcknowledgments \nThis work was carried out i n the framework of the APP4AD project (“Advanced Payload data Processing for Autonomy & Decision”\, Bando ASI “Tecnologie Abilitanti Trasversa li”\, Codice Unico di Progetto F95F21000020005)\, funded by the Italian Space Agency (ASI). ERS data are provided by the European Space Agency (ES A). DTSTAMP:20260609T143015Z LOCATION:Sala Biblioteca @ PoliBa SUMMARY:Bright Target Detection on SAR Raw Data Based on Deep Convolutional Neural Networks - Giorgio Cascelli\, Alberto Morea\, Khalid Tijani\, Nico lò Ricciardi\, CATALDO GUARAGNELLA\, Raffaele Nutricato URL:https://talks.osgeo.org/foss4g-it-2023/talk/URR3NB/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-899M3E@talks.osgeo.org DTSTART;TZID=GMT:20230612T144500 DTEND;TZID=GMT:20230612T150000 DESCRIPTION:Authors: Claudio Ladisa\, Manuel A. Aguilar\, Alessandra Capolu po\, Eufemia Tarantino\, Fernando J. Aguilar.\nThe use of renewable energy sources in power generation is increasing due to environmental awareness and technological advancements. Solar energy\, with its extensive availabi lity and minimal greenhouse gas emissions\, is a promising source. However \, large photovoltaic (PV) plants require constant monitoring to ensure ef ficiency and reliability. Remote sensing technology can be beneficial in p roviding accurate information on the plant's size\, shape\, and location\, reducing costs and increasing monitoring efficiency. The detection of lar ge PV plants can be carried out using various technologies\, including the use of satellite imagery\, drones imagery or observation from aircraft. H owever\, the use of satellite imagery is advantageous for the detection of large PV plants because it allows to acquire data on a large area without having to move around the site and to monitor the plant over time without interfering with its activity. Open-source imagery from satellites like S entinel-2 (S2) and Landsat 9 has led to a significant increase in remote s ensing research related to extracting (PV) systems. This is because the fr ee and public availability of high-quality images with extensive spatial c overage has eliminated the need to buy costly private satellite images. Ad ditionally\, the frequency of image acquisition\, which can occur every fe w days\, has allowed for quick and accurate monitoring of areas of interes t. Several research have recently merged remote sensing with machine learn ing (ML) methods to develop automatic classification algorithms for PV sys tems. Most of these algorithms employ different spectral indices\, such as the Normalized Difference Water Index (NDWI)\, the Normalized Difference Vegetation Index (NDVI)\, and Normalized Difference Bare Index (NDBI)\, as input. These spectral indices provide useful information on the presence of water\, vegetation and bare soil\, respectively\, which can be used to identify PV systems more accurately\, thus improving classification accura cy. However\, there is no specific spectral index that has been tested exc lusively for the extraction of PV. This is partially because PV arrays may be constructed on many kinds of surfaces\, in various environmental and c limatic circumstances\, and with different solar panel sizes and types. In this regard\, the goal of this work was to suggest a Photovoltaic Systems Extraction Index (PVSEI) for the detection of PV installations from S2 im ages in two distinct study areas characterized by the persistent presence of large PV installations: The province of Viterbo (Italy) and the provinc e of Seville (Spain). The development of the PVSEI was based on the combin ation of different bands provided by S2\, in order to maximise the spectra l difference between the solar panels and their surroundings. For each stu dy area\, two S2 images\, one taken in February and the other one in Augus t\, were used to analyse the seasonal variation of the solar panels' spect ral signature and test the PVSEI's accuracy in each of the four scenarios. The image analysis was carried out using an Object-Based Image Analysis ( OBIA) method since it allowed for a more accurate identification of PV sys tems than the pixel-based method\, which analyzes individual elements with out taking their spatial arrangement and semantic significance into accoun t. Multi-resolution segmentation was used to create segments with differen t dimensions based on scale\, shape and compactness parameters. The Decisi on Tree (DT) classifier was used to evaluate the effectiveness of the PVSE I and its importance in comparison to the other indices used in the litera ture in both locations and for both periods after the objects had been lab elled as "PV" and "No-PV”. The effectiveness of the new index was demons trated through the results obtained from the DT analysis. In three out of four scenarios\, the PVSEI was selected as the first cut in the DT analysi s. In the remaining scenario where it was not ranked first\, it still main tained a high level of significance\, being the second index in importance . The accuracy was assessed using an error matrix calculated on both the e ntire segmentation dataset (i.e. using all the objects) and with TTA mask with 2 m pixel size. Four metrics were used to evaluate accuracy of the PV SEI\, including Overall Accuracy (OA)\, Kappa Index of Agreement (KIA)\, P roducer Accuracy (PA)\, and User Accuracy (UA) for both classes. OA exceed ed 98% in all scenarios\, both for the segmentation dataset and the TTA ma sk. KIA values for the TTA mask ranged from 0.81 to 0.86\, while values fo r the segmentation objects ranged from 0.74 to 0.82. In conclusion\, the n ew index has demonstrated favourable outcomes in both study areas\, with o nly a limited number of misclassifications involving bare soil objects tha t have a spectral signature resembling certain photovoltaic systems. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Development of a Photovoltaic System Extraction Index for the detec tion of large PV plants using Sentinel-2 images - Alessandra Capolupo\, Eu femia Tarantino\, Claudio Ladisa\, Fernando J. Aguilar URL:https://talks.osgeo.org/foss4g-it-2023/talk/899M3E/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-VKCTN3@talks.osgeo.org DTSTART;TZID=GMT:20230612T144500 DTEND;TZID=GMT:20230612T150000 DESCRIPTION:According to sustainable agriculture best practices\, efficient use of scarce water resources is mandatory for both a marketing objective and an environmental obligation. This implies that in the agricultural pr oduction\, which is intensive and should at the same time be environmental ly friendly\, soil moisture is a key parameter to be constantly monitored. In addition\, soil moisture plays a crucial role in plant development\, h uman development as well as global cycles of various substances. It serves as an essential input variable for various scientific analyses ranging fr om hydrological modeling\, forecasting of floods and groundwater movement to the modeling of global water fluxes. \n\nInformation about soil moistur e can be obtained from in field measurements taken\, for instance\, using point sensors [1] that provide detailed point-like information. An alterna tive approach to field measurements is to use measurements remotely sensed from satellite-borne instruments. Both optical and microwave radiation ex hibit sensitivity to soil moisture\, with the optical remote sensing being limited to clear sky conditions and affected by solar illumination [2]. M icrowave radiation\, on the other side\, is largely unaffected by weather conditions and guarantees all-day observations. Among the microwave remote sensing instruments\, the Synthetic Aperture Radar (SAR)\, i.e.\, a micro wave imaging radar\, is very promising to soil moisture retrieval on a spa tial scale fine enough to be used for sustainable agriculture purposes.\n\ nTo retrieve soil moisture from microwave remotely sensed data\, the key i ssue is de-coupling surface roughness from dielectric constant. Within thi s context\, two different approaches are widely used: a) physical modellin g and b) empirical methods. A promising approach which is both physically sound and computer-time effective was proposed in [3] which consists of us ing dense time-series of SAR measurements to decouple surface geometric ef fects (plants growth stage\, etc.) from dielectric properties. The underpi nning idea is that plant appearance will not change drastically from one i mage to another if the time series is dense enough\, hence variation in th e dielectric properties are sorted out. Once the permittivity is estimate\ , the soil moisture can be retrieved using an empirical approach\, e.g.\, [4]. \n\nA mandatory step to design an operational processing chain to ret rieve soil moisture using [3] is sorting out built-up areas\, vegetation\, high-slope terrains\, etc. In this study\, a polarimetric processing chai n is proposed that\, starting from dual—polarized SAR measurements\, is able:\n1. To sort out built-up areas using reflection symmetry\, i.e.\, a property that is satisfied by natural scenes but is not present in man-mad e targets. This property manifest itself in the inter-channel correlation\ , i.e.\, the correlation between co- and cross-polarized channels that is low in case of natural targets and large over built-up areas [5].\n2. To s ort out vegetated areas using eigenvalue decomposition parameters\, i.e.\, the polarimetric entropy and the mean alpha angle\, to partition the pola rimetric space to identify vegetated regions according to their peculiar p olarimetric response.\n3. The digital elevation model (DEM) to identify ar ea calling for steep slopes.\n\nThe proposed processing chain will be show cased on actual SAR measurements acquired by Sentinel-1 over two areas of interest\, namely the Campania and the Sardinia regions. In the Campania r egion\, the test case includes ground information about soil moisture coll ected by a ground station provided by Netcom Group S.p.A. First experiment al results show the soundness of the proposed processing chain that result s in accurate enough estimations with a remarkable computer-time effective ness.\n\nReferences\n\n[1] Lekshmi SU S\, Singh DN & Shojaei Baghini M 201 4. A critical review of soil moisture measurement. Measurement 54\, 92-105 . doi:10.1016/j.measurement.2014.04.007\n\n[2] Gao\, B.-C. 1996. NDWI - A normalized difference water index for remote sensing of vegetation liquid\ nwater from space. Remote Sensing of Environment 58: 257-266.\n\n[3] Balen zano\, A.\, Mattia\, F.\, Satalino\, G.\, Davidson\, M.W.J.\, 2011. Dense temporal series of C- and L-band SAR data for soil moisture retrieval over agricultural crops. IEEE J.Sel. Top. Appl. Earth Obs. Remote Sens. 439– 450\n\n[4] Hallikainen\, M.T.\, Ulaby\, F.T.\, Dobson\, M.C.\, El-rayes\, M.A.\, Wu\, L.\, 1985. Microwave dielectric behavior of wet soil-Part II: Dielectric Mixing Models. IEEE Trans. Geosci. Remote Sensing GE-23 ge-23\, 35–45\n\n[5] F. Nunziata\, M. Migliaccio and C.E. Brown\, “Reflection symmetry for polarimetric observation of man-made metallic targets at sea \,” IEEE Journal of Oceanic Engineering\, vol.37\, no.3\, pp.384-394\, 2 012. DTSTAMP:20260609T143015Z LOCATION:Sala Biblioteca @ PoliBa SUMMARY:A dual-polarimetric SAR processing chain for soil moisture retrieva l - Anna Verlanti URL:https://talks.osgeo.org/foss4g-it-2023/talk/VKCTN3/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-ZBPJVD@talks.osgeo.org DTSTART;TZID=GMT:20230612T150000 DTEND;TZID=GMT:20230612T151500 DESCRIPTION:Copernicus Sentinel-2 satellite constellation allows to sense E arth surface at high spatial and spectral resolution and its high revisit frequency foster new advances for land monitoring capacity. Sentinel-2 MSI data exhibit variable geolocation spatial accuracy\, resulting in a weak spatial coherence that significantly affect time series consistency at pix el level. Despite evolving Sentinel-2 MSI processing baselines aims\, amon g other objectives\, to improve image co-registration with respect to a Gl obal Reference Image (GRI)\, geospatial accuracy is not yet adequate for d etailed time series analysis. Many methodologies to quantify image shifts\ , developed in the past years\, require a significant computational effort to effectively co-register satellite acquisition time series.\nTo underta ke operational image co-registration\, Sentinel-2 Shift DataBase (S2SDB) h as been established. The S2SDB contains information about horizontal linea r local shifts\, that can be easily applied to any Sentinel-2 MSI spectral band or derived spatially explicit products\, using various image process ing software solutions. The DataBase\, by releasing simple but relevant in formation with an open access data policy\, can contribute to reduce time and computational effort required to significantly improve Sentinel-2 MSI imagery spatial coherence and time series consistency. Improved co-registr ation may also contribute to strengthen satellite sensor interoperability\ , producing denser time series to improve Earth observation land monitorin g for a wide range of applications.\nS2SDB is freely accessible from the o pen access data repository available at link https://github.com/ffilipponi /S2SDB.\nImprovements in time series consistency at pixel level using the S2SDB is demonstrated for selected case studies\, related to monitoring of forest disturbances for logging identification and to the use of time ser ies analysis for the estimation of phenological metrics at Italian nationa l scale. DTSTAMP:20260609T143015Z LOCATION:Sala Biblioteca @ PoliBa SUMMARY:Improve Sentinel-2 time series consistency with S2SDB DataBase for operational image co-registration - Federico Filipponi URL:https://talks.osgeo.org/foss4g-it-2023/talk/ZBPJVD/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-PWLBRE@talks.osgeo.org DTSTART;TZID=GMT:20230612T150000 DTEND;TZID=GMT:20230612T151500 DESCRIPTION:In cities\, the building sector is the main responsible for ene rgy consumption and carbon dioxide emissions. However\, there is a high po tential for energy saving by renovating the buildings themselves and the d ecision-making process to primarily focus on them in the development of sm art cities. Several policies have been drafted to set a path towards the m itigation of such impacts\, decarbonising the energy supply and reducing t he total energy demand. Nevertheless\, from a smart city-oriented perspect ive\, it is crucial to elaborate tools to support the choices of policymak ers and make citizens aware. Remotely sensed data can be used for assessin g the current state\, thus simulating possible improvements. Existing lite rature shows extensive use of infrared thermography for assessing discrete buildings\, while little has been done on a district or urban scale.\n\nI n this contribution\, we present the potential of Aerial Infrared Thermog raphy and LiDAR point clouds for defining energy uses and the potential ph otovoltaic production. First\, AIT is used for energy classification\, a k ey parameter for estimating the current energy demand. Then\, two alternat ive retrofitting scenarios – proposing an improvement by two classes and an upgrade of the whole building stock to meet the highest standards – are compared in terms of primary energy savings and prevented emissions. O ptions are taken into account also considering the energy supply option\, with the possibility of installing photovoltaic panels to power heating pu mps as an alternative to traditional heating methods\, i.e. district heati ng and natural gas boilers.\n\nIn addition to Infrared thermography\, aeri al LiDAR point clouds are also key data for planning and managing the ener gy resources in cities. The efficiency of solar panels primarily depends o n the incidence angle of the radiation on the panels and\, therefore\, pro per planning is crucial for the installation and setup of solar plants. On e of the possible applications of LiDAR point clouds for the energy sector is to support this phase to maximise efficiency. Thanks to the 3D classif ied LiDAR point clouds\, it is possible to extract the buildings with prec ise restitution of the pitches\, their dimension and orientation\, then ca tegorising them into planar/flat\, slant or dome types in order to estimat e the angle of incidence of sunlight radiations and to better assess the m aximum solar potential. In this way\, an accurate data sheet for each buil ding can be drafted\, reporting precise data on theoretical production and usable surface.\n\nFuture developments are related to the development of three-dimensional energy models\, to be updated regularly\, able to descri be precisely the current situation and simulate alternative scenarios. The state of the art smart city digital twins can be also employed for the pu rpose of urban energy management and to capture and understand the urban e nergy complexities with respect to time. The concept of energy community c an be also introduced at a local level where neighbourhoods generate and s hare the energy generated from renewable sources. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Aerial LiDAR and Infrared Thermography for urban-scale energy asses sment and planning - Sebastiano Anselmo\, Maria Ferrara\, Yogender Yadav URL:https://talks.osgeo.org/foss4g-it-2023/talk/PWLBRE/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-QCBELA@talks.osgeo.org DTSTART;TZID=GMT:20230612T151500 DTEND;TZID=GMT:20230612T153000 DESCRIPTION:Hydro geological instabilities involving urban areas represents a potential threat for structures and people. An in-depth knowledge of th e spatial and temporal evolution of the ground surface and the related dis placement field becomes then essential for mitigating and managing the ris k associated with these phenomena. In this context\, Multi-Temporal Interf erometric Synthetic Aperture Radar (MTInSAR) techniques are gaining moment um in the monitoring of built regions affected by landslides. The presente d research wants to provide an example of the benefit in using Copernicus C-band Sentinel-1 SAR products to support the management/mitigation strate gies in case of building settlements in urban areas. To this aim\, Sentine l-1 SAR acquisitions and ground meas-urements (i.e. high-precision geometr ic levelling) have been jointly used to investigate an ongoing instability occurrence\, affecting the town of Chieuti\, located in the Apulia region (Southern Italy). Furthermore\, a geostatistical analysis has been develo ped in a Geographic Information System (GIS) to compare the Sentinel 1 SAR dataset with the results obtained from the ground-based geomatics observa tions. The study evidences the effectiveness of using Sentinel-1A SAR data as a long-term routine monitoring tool for millimetre-scale motions in ar eas involved by ground in-stabilities triggered by landslides. The outcome s of this analysis helped the design of the mitigation measures implemente d for securing the study area\, demonstrating once again the importance of satellite remote sensed SAR data in driving land management strategies an d civil protection actions where potentially dangerous instability phenome na are underway DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:MTInSAR and ground-based geomatic observations for the analysis of displacements affecting an urbanized area - ALBERICO SONNESSA URL:https://talks.osgeo.org/foss4g-it-2023/talk/QCBELA/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-CVTH9W@talks.osgeo.org DTSTART;TZID=GMT:20230612T151500 DTEND;TZID=GMT:20230612T153000 DESCRIPTION:Precision viticulture aims to enhance quality standards of wine production by improving vineyard management. In this framework\, satellit e optical remote sensing has already proved to be effective for mapping ve getation behavior in space and time. These maps\, properly processed\, are useful to optimize agronomic practices improving wine production/quality and mitigating environmental impacts. Nevertheless\, vineyards represent a challenge in this context because grapevine canopies are discontinuous\, and the observed reflectance signal is affected by background. In fact\, s atellite imagery ordinarily provides spectral measures with medium-low geo metric resolution (≥ 100 m2). Therefore\, spectral mixture between grape vine canopies\, grass and soils is expected within a satellite-derived ref lectance pixel and not considering this problem can deeply affect deductio ns based on this data. In this work\, Sentinel-2 (S2) NDVI maps (10 m reso lution) were computed and compared to the ones obtained from DJI P4 multis pectral UAV over a vineyard sizing 1.5 ha and located in Piemonte region ( NW Italy). The proportion of row and inter-row (α(x\,y) and 1-α(x\,y)) w ithin S2 pixel was computed and mapped classifying DJI photogrammetry poin t cloud. Involving α(x\,y) and S2 NDVI values\, reversing spectral unmixi ng system was defined solving for two average endmembers NDVI values (row and inter-row) using a moving window (21x21 pixels) least squares approach . Results were compared at S2 pixel-level to the average ones computed fro m DJI\, showing a MAE of 0.15 and 0.10 of row and inter-row NDVI respectiv ely. DTSTAMP:20260609T143015Z LOCATION:Sala Biblioteca @ PoliBa SUMMARY:Pixel Mixture Issue in Mapping Vineyard Phenology. A Possible Solut ion Based on Sentinel-2 Imagery and Local Least Squares - Enrico Borgogno- Mondino\, Francesco Parizia\, Federica Ghilardi\, Alessandro Farbo\, Filip po Sarvia\, Samuele De Petris URL:https://talks.osgeo.org/foss4g-it-2023/talk/CVTH9W/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-ADRQMK@talks.osgeo.org DTSTART;TZID=GMT:20230612T153000 DTEND;TZID=GMT:20230612T154500 DESCRIPTION:As humanity is entering the 4th Industrial Revolution\, marked by the digital transition\, the global demand for strategic minerals is qu ickly rising. Critical Raw Materials (CRM) are among those commodities whi ch are facing an increasing supply risk due to availability and political reasons. In order to increase EU's self-sufficiency in CRM\, there is a gr owing interest for the identification of mineral resources in Europe and f or the stipulation of acceptable trade agreements with diverse external su ppliers. With the Raw Materials Act\, the European Union commits to a sust ainable management of raw materials. This includes promoting sustainable m ining\, which undertakes to the minimization of social\, economic and envi ronmental impacts caused by resource extraction. It means also reducing mi ning rates\, in order to guarantee reserves for future generations. Despit e these stringent rules applied to the extractive industry\, the conversio n to more sustainable practices on a global scale is still slow\, and not all countries have translated the principles of sustainable mining to laws or are able to successfully enforce them. In this context\, thanks to the increasing availability of aerial and satellite data\, mineral and mine f acility mapping with optical images is quickly gaining ground. This techni que is a cost-effective\, non-invasive solution for supporting early-stage exploration and monitoring of extractive facilities. Here we show some ex amples of how Earth Observations can support the mining industry at differ ent phases of the supply chain. These applications use freely available mu lti-spectral satellite data\, such as Landsat and Sentinel-2 images\, as w ell as commercial high-resolution data\, such as Planet. The high temporal resolution\, as is the case of Planet and Sentinel-2 products\, and the l ong lifespan of Landsat data\, allow to effectively analyze the evolution of mine sites and their surroundings. The outcomes represent preliminary r esults focused on mineral characterization through band indexes and spectr al signature analyses\, and impact assessments on the nearby land associat ed with the extraction sites. The study aims at being a contribution to un derstanding the current relative standing of the mining sector in the achi evement of the sustainable mining targets. It shows\, on the one hand\, th at remote sensing is an innovative tool for identifying and characterizing new\, inaccessible resource deposits\; on the other\, that it is a suffic iently mature technology for measuring the social and environmental footpr int of the CRM market on a global scale. As illustrated in the Raw Materia ls Act\, Earth Observations are key to supporting different phases of mine rals’ value chain. These results and the related literature may be consi dered as a benchmark for future research in this domain.\nThis research is funded by the National Plan for Recovery and Resilience (PNRR) project G eosciencesIR. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Earth Observations applied to Critical Raw Materials supply chain - Susanna Grita\, Piero Boccardo\, Vittoria Olgiati\, Alberta Pavone URL:https://talks.osgeo.org/foss4g-it-2023/talk/ADRQMK/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-UGT3XN@talks.osgeo.org DTSTART;TZID=GMT:20230612T153000 DTEND;TZID=GMT:20230612T154500 DESCRIPTION:Autores: Abderrahim Nemmaoui\, Fernando J. Aguilar\, Manuel A. Aguilar\nForests act as important carbon sinks\, therefore being key compo nents of the global carbon cycle. The carbon dioxide emissions account is essential for climate regulation policies and the evaluation of the effect s of these policies\, as well as for understanding the services they provi de to societies.\nTraditionally\, forest inventories are completed by grou nd-based expert crews. These field surveys are uneconomical\, time consumi ng and not adequate for studies dealing with periodic data collection. Con sequently\, one of the key topic in forest applications is to find an effe ctive method to produce effective and accurate inventories.\nIn recent yea rs\, Remote Sensing (RS) has proven to be capable of providing independent \, timely and reliable forest information. RS data are used to estimate se veral forest variables of silvicultural interest such as crown diameter (C D)\, tree height (H)\, diameter at breast height (DBH) and aboveground bio mass (AGB). In this sense\, and due to its ability to estimate attributes at tree level\, LiDAR derive point cloud data has become a valuable data s ource in the field of efficient and accurate detection and segmentation of individual trees (IT).\nState-of-the-art approaches use different algorit hms for individual tree segmentation (ITS). For each algorithm\, a specifi c methodology to create the input Canopy Height Model (CHM) and/or many pa rameters should be tuned to somehow adapt the segmentation algorithm to ea ch particular forest stand. This approach makes the results highly depende nt on the applied local fitting parameters\, which implies difficulties wh en applied for large-scale mapping. In addition\, the parameter setting pr ocess is quite time consuming and requires learning and understanding the meaning and role of each parameter.\nThe main goal of this work aims at de veloping a pipeline that requires minimal user interaction when working on large areas of Mediterranean forests. The expected results should facilit ate the production of broad-extend IT maps and extract the corresponding d endrometric parameters from low-density airborne laser scanning (ALS) data without spending time tuning algorithm parameters. \nThe study area was l ocated in Sierra de María-Los Vélez Natural Park (Almeria\, Spain). Up t o 38 reference square plots of 25 m side containing reforested stands of A leppo pine (Pinus halepensis Mill.) with variable density\, tree height an d presence of shrubs and low vegetation mainly represented by little holm oak trees (Quercus ilex L.). This forest composition and structure make up a forest typology that is very representative of the Mediterranean forest s.\nThree open source raster-based (i.e.\, CHM-based) were tested to extra ct tree location and some dendrometric parameters such as tree H and CD. T he first algorithm is the method proposed by Dalponte & Coomes(2016) adapt ed and introduced in the package lidR (Roussel et al.2020). The second one is the algorithm developed by Silva et al.(2016)\, which is focused on th e way to better approximating the intersecting canopy of multiple trees af ter locating treetops by local maxima. The last algorithm tested is includ ed in the library Digital Forestry Toolbox (DFT). In addition\, the point cloud-based algorithm proposed by Li et al.(2012) was also tested. \nFor e very algorithm tested\, we tried different parameters to find the best pip eline\, finally obtaining up to 4024 combinations of all tested algorithms for each experimental plot. For each setting\, tree detection accuracy wa s assessed by computing the detection rate\, and the commission and omissi on errors. Some statistics\, such as median\, RMSE and relative RMSE\, wer e also used to quantitatively assess the accuracy of tree H and CD estimat es over each reference plot.\nThe IT detection accuracy rates\, in terms o f precision\, recall\, and F1-score\, showed the successful performance of the pipeline proposed in this study. The algorithm proposed by Li et al.( 2012) showed detection F1-score average values of 82.65% (using the same p arameter combination for the 38 experimental plots). However\, it failed i n delimiting the crown diameter (relative RMSE 57.06% and Pearson r of 0.5 5). The method developed by Silva et al.(2016)\, when applied on a CHM gen erated with the point-to-raster algorithm and using a LM based on a variab le Tree Window Size (TWS)\, presented a similar F1-score for ITS (i.e.\, 8 2.53%)\, but being most successful delimiting the crown (relative RMSE 22. 21% and Pearson r of 0.68). Finally\, Dalponte & Coomes(2016) and DFT meth ods showed slightly worse results\, with average F1-scores of 80.41% and 7 5.66%\, respectively.\nThe results obtained confirms the usefulness of low -density ALS data to both detect IT and estimate H and CD\, also underlini ng some key aspects regarding the choice of the correct method and paramet ers to perform single tree detection for Aleppo pine in large areas of Med iterranean forests. DTSTAMP:20260609T143015Z LOCATION:Sala Biblioteca @ PoliBa SUMMARY:AN AUTOMATIC AND EFFECTIVE PIPELINE FOR INDIVIDUAL TREE DETECTION A ND SEGMENTATION USING LOW-DENSITY AIRBORNE LASER SCANNING DATA IN LARGE AR EAS OF MEDITERRANEAN FOREST - Abderrahim\, Fernando J. Aguilar URL:https://talks.osgeo.org/foss4g-it-2023/talk/UGT3XN/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-KJBN9T@talks.osgeo.org DTSTART;TZID=GMT:20230612T154500 DTEND;TZID=GMT:20230612T160000 DESCRIPTION:Authors: A. Capolupo & E. Tarantino\nSeveral research involving Earth's physical processes and depicting environmental systems are comput ationally time-consuming\, and as a result\, have a substantial impact on the time necessary to collect and manage the data. Over the years\, numero us acceptable methods for describing surface morphology and enabling quick computer solutions were developed. Nevertheless\, since 1991\, Digital El evation Model (DEM) has been recognized as the finest alternative for atta ining this goal because\, in addition to its capacity to provide baseline morphological information quickly\, it also has the exclusive property of being a 2.5-D surface. The quality and trustworthiness of the results prov ided by its use are determined by its resolution\, elevation accuracy\, an d shape/topological correctness. Elevation accuracy is normally establishe d by statistically analysing differences between DEMs and reference datase ts such as Ground Control Points (GCPs)\, whereas shape/topological correc tness is typically defined by demonstrating DEM conformity with some unive rsal principles. Therefore\, the root mean square error is commonly used t o achieve the first aim\, whilst DEM derivates are examined in the second one. However\, neither approach is without limits since their performance is influenced by the quality of the reference data and the complexity in m easuring DEM realism.\nThis is much more difficult when the DEM under cons ideration encompasses the entire globe. Even though they are described as a homogenous product\, the accuracy of Global DEMs in terms of elevation a nd realism varies according to geographical location and morphology\, land cover\, and climate. Furthermore\, as satellite stereoscopic technologies \, as well as photogrammetric and SAR interferometric methods\, have evolv ed\, the amount of Global DEMs collected has substantially increased. Most of them were also collected in different historical periods and\, consequ ently\, they may be useful free open-source data for conducting a consiste nt global study change detection analysis.\nIn such a framework\, this stu dy aims to investigate the appropriateness of medium-resolution open-acces s Global DEMs in evaluating changes in urban contexts between 2000 and 201 1. To accomplish this\, the primary freely accessible Global DEMs were sta tistically examined\, and after selecting the best pair\, a change detecti on analysis was carried out. To assess its accuracy\, the findings were co mpared to the Copernicus Land Monitoring service's land use layers from th e same historical periods (https://land.copernicus.eu/). Lastly\, this stu dy seeks to estimate and predict the caused by building density bias in ac cordance with the urban fabric type.\nThe procedure was implemented by wri ting appropriate Java-script code on the Google Earth Engine (GEE) web-bas ed platform. Hence\, the GEE catalogue was first consulted to determine th e available Global DEMs corresponding to the historical period under inves tigation\, and\, once identified\, they were imported into the application programming interface and validated using the "internal" technique. As a result\, AW3D30 (3.2)\, which was launched in early January 2021\, and SRT M DEM V3 were deemed the optimal combination for research purposes during an 11-year timeframe. Thus\, they were used as input data for calculating the corresponding DEM of Differences (DoD) and quantify the alteration in urban environments. Owing to the law propagation error\, the resultant DoD had substantial internal incoherencies\, which were subsequently statisti cally eliminated by using the Tukeys' filter. This is widely acknowledged as an effective method for identifying and cleaning out internal noise wit hout prior awareness of it. Yet\, a significant amount of Tukey's outliers was identified and eliminated in their respective DoD\, mostly in wooded and hilly zones\, owing to differing degrees of quality of the input data. Following that\, to reduce misclassification and distinguish noise from r eal changes\, the resulting DoD was further filtered using the Uniformly D istributed Error (UDE) strategy\, developed by Brasington et al. in 2003. However\, the UDE technique\, while exploiting a gaussian distribution of internal error\, does not adapt the filtering threshold to the local condi tions\, resulting in an over or underestimation of the amount of informati on to remove. Urban variation was now assessed by combining the filtered D oD result with Corine Land Cover (CLC) data. This integration also enabled statistical investigation and modelling of the DoD error associated with urban fabric type. When comparing the CLC information to both Tukey's outl iers and UDE noise in urban areas\, it is discovered that error increased linearly with building density. This implies that urban changes quantifica tion could be improved further by correcting the building density bias. In future works\, the introduced approach will be enhanced by taking buildin g height into consideration. DTSTAMP:20260609T143015Z LOCATION:Sala Biblioteca @ PoliBa SUMMARY:Estimating the influence of building density bias on the accuracy o f Global DEM of Differences in urban change analysis - Alessandra Capolupo \, Eufemia Tarantino URL:https://talks.osgeo.org/foss4g-it-2023/talk/KJBN9T/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-SGWTNN@talks.osgeo.org DTSTART;TZID=GMT:20230612T163000 DTEND;TZID=GMT:20230612T164500 DESCRIPTION:Glaciers are critical elements in the Earth’s climate system\ , and can be considered as sensitive indicators of climate change. Glacier s store significant amounts of freshwater\, which is essential for animal and human consumption and activities like industry and agriculture. Furthe rmore\, glaciers have a significant impact on the hydrological cycle\, and their melting also contributes to rising sea levels. Understanding and mo nitoring glacier extent changes is critical to informing climate policies\ , assessing natural hazards and safeguarding global water resources. Nowad ays\, remote sensing technology is a proved and widely adopted source of i nformation in this sense.\nIn this context\, the proposed study aims to de velop a regression model able to predict future changes in glacier extent\ , using supervised machine learning algorithms applied to open access medi um and HR spatial resolution satellite data of the EU Copernicus programme . To achieve this objective\, two machine learning models are developed. T he first model is a segmentation model that employs a U-Net architecture\, along with a final Conditional Random Field (CRF) module\, to digitalize glaciers features from satellite images. The purpose of the segmentation m odel is to vastly expand the dataset required by the regression model\, in terms of glacier surface values. In fact\, this work presents an addition al contribution in the form of a novel dataset consisting of time series o f glaciers and snow extent. This dataset is generated using the best-perfo rming segmentation model previously trained\, applied to multiple glaciers \, spanning a 30-year period and a consistent seasonal interval. To train the segmentation model\, and to create the required ground truth images\, the GLIMS initiative database is used again\, while optical satellite imag es are obtained in part from Sentinel-2 data and in part from other public ly available datasets such as the "Hindu Kush Himalayas (HKH) glacier mapp ing dataset". The latter couples annotated glacier locations\, which were produced by experts\, with multispectral imagery from Landsat 7.\nThe seco nd model is a multivariate regression model that seeks to identify the rel ationships between Land Surface Temperature (LST) and glacier/snow extent. \nIn order to train the models\, two datasets are required. For the regre ssion model and specifically LST\, data from the Sentinel-3 SLSTR instrume nt\, as well as data from the ESA Climate Change Initiative\, which consol idates data from various satellites over the past 25 years\, are utilized. Historical data on glacier extent and elevation is obtained from the "Gla ciers elevation and mass change data from 1850 to present from the Fluctua tions of Glaciers" database by the Copernicus Climate Change Service and d atasets provided by the Global Land Ice Measurements from Space (GLIMS) in itiative. Finally\, both models are validated on testing data to assess t heir generalization capabilities and their performance on real-world cases . A subset of the segmentation dataset is kept aside to extrapolate metric s such as the Intersection-Over-Union (IoU)\, which allows to assess the a ccuracy of the results obtained and to make comparison with other architec tures. For the regression model\, error metrics such as the Root-Mean Squa red Error (RMSE) are considered to assess the model performance. The resul ts of the study are expected to provide insights that will enhance the mon itoring efforts of glacial features and provide useful information about t he impact of climate change on glaciers worldwide. DTSTAMP:20260609T143015Z LOCATION:Sala Biblioteca @ PoliBa SUMMARY:Assessing Glacier Extent Changes through Machine Learning Algorithm s and Remote Sensing Data - Vanina Fissore\, Lorenza Ranaldi\, Davide Lisi \, Piero Boccardo\, Alessandro La Rocca\, Mirko Frigerio\, Daniele Sanmart ino URL:https://talks.osgeo.org/foss4g-it-2023/talk/SGWTNN/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-SSWEYP@talks.osgeo.org DTSTART;TZID=GMT:20230612T163000 DTEND;TZID=GMT:20230612T164500 DESCRIPTION:Morphodynamics aims to predict the evolution of the topography of rivers\, estuaries\, and coastal regions under different environmental forcings. Understanding the stability of such systems is a fundamental iss ue which may help the management of these areas in terms of flood control\ , erosion prevention\, and habitat restoration.\nAlthough the study of mor phodynamics has made great progress over the decades\, even from a theoret ical point of view\, models need data to be tested and eventually used in machine learning algorithms. From this point of view\, remote sensing is a powerful tool that provides data and a way to monitor changes in these sy stems over time.\nThe processing of open images from Sentinel-2 (https://s entinel.esa.int/web/sentinel/missions/sentinel-2) satellite can support th e study of the morphodynamic evolution of river\, estuaries\, and coastal environments. By collecting multispectral images and using appropriate alg orithms\, the water depth of riverbed and seafloor can be derived\, the em erged and submerged areas can be classified automatically into types of be drocks or vegetation. In addition\, satellite images can be used to derive parameters\, such as channel width\, the evolution of which over time ind icates erosion or deposition processes\, and water turbidity\, which can b e an indicator of suspended sediment transport. Hence\, data collected thr ough image analysis provides a useful tool for morphodynamic modelling.\nW e propose combining remote sensing and morphodynamic modelling for a compr ehensive river system assessment. This integrated approach can provide an accurate understanding of river morphology\, hydrodynamics\, and sediment dynamics\, supporting informed decision-making for sustainable river manag ement. In this paper\, a preliminary application of this novel approach to a case of the Roia river in Liguria is presented. The Sentinel-2 multispe ctral optical images are processed and integrated with in-situ measurement s to create a dataset for the morphodynamic model. In particular\, the Sat ellite Derived Bathymetry is computed to estimate the depth variations alo ng the river course\, and the image classification is performed mapping di fferent types of riverbed features such as vegetation\, water turbidity\, and sedimentation (Apicella et al. 2023\, Apicella et al. 2022). Such a da taset is first used to test the capacity of some existing theoretical morp hodynamic models (Seminara et a al. 2012\, Ragno et al.\,2021) to predict the equilibrium topography of the inlet reach of the Roia river. As a sec ond step\, the stability and evolution of the system under different scena rios of river discharges and sea forcing will be investigated. \nThe work is carried on within the Robotics and AI for Socio-economic Empowerment – RAISE (https://www.raiseliguria.it/) project funded by the “Piano Na zionale di Ripresa e Resilienza” - PNRR (https://www.mise.gov.it/it/pnr r)\, aiming to create a sustainable and resilient ecosystem that supports economic development\, social well-being\, and environmental conservation. An application activity focuses on the hydrographic\, coastal and marine environment\, which are key drivers of the local economy. In this context\ , one of the outcomes will be the risk assessment system and vulnerability of coastal areas (deltas\, river mouths and lagoons) to climate change.\n Acknowledgments\nThis work was carried out within the framework of the pro ject "RAISE - Robotics and AI for Socioeconomic Empowerment” and has bee n supported by European Union – NextGenerationEU. \nReferences\nApicella \, L.\; De Martino\, M.\; Ferrando\, I.\; Quarati\, A.\; Federici\, B. Der iving Coastal Shallow Bathymetry from Sentinel 2-\, Aircraft- and UAV-Deri ved Orthophotos: A Case Study in Ligurian Marinas. J. Mar. Sci. Eng. 2023\ , 11\, 671. https://doi.org/10.3390/jmse11030671\nApicella\, L.\; De Marti no\, M.\; Quarati\, A. Copernicus User Uptake: From Data to Applications. ISPRS Int. J. Geo-Inf. 2022\, 11\, 121. https://doi.org/10.3390/ijgi110201 21\nRagno\, N.\; Tambroni\, N.\; Bolla Pittaluga\, M. When and where do f ree bars in estuaries and tidal channels form? Journal of Geophysical Rese arch: Earth Surface 2021\, 126\, e2021JF006196. https://doi.org/10.1029/20 21JF006196\nSeminara\, G.\; Bolla Pittaluga\, M.\; Tambroni\, N. Morphodyn amic equilibrium of tidal channels. In W. Rodi\, & M. Uhlmann (Eds.)\, Env ironmental fluid mechanics: Memorial volume in honour of Prof. Gerhard H. Jirka 2012\, pp. 153– 174. CRC Press. https://doi.org/10.1201/b12283 DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Sentinel-2 open data processing and morphodynamic modelling: an int egrated approach to model sediment supply effects on rivers\, estuarine an d coastal areas - Bianca Federici\, Lorenza Apicella\, Monica De Martino URL:https://talks.osgeo.org/foss4g-it-2023/talk/SSWEYP/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-XL9TFZ@talks.osgeo.org DTSTART;TZID=GMT:20230612T164500 DTEND;TZID=GMT:20230612T170000 DESCRIPTION:The increasing use of Uncrewed Aerial Systems (UAS) has opened up new opportunities for ultra-high-resolution (UHR) land cover (LC) class ification using optical data with Ground Sampling Distance (GSD) below 10 cm. Coastal sand dune ecosystems are difficult to map due to the variabili ty of plant species\, making high-resolution vegetation mapping of these a reas crucial for analysing vegetation dynamics\, spatial patterns and pred icting species diversity. The extreme similarity of vegetation spectral re sponses to multispectral sensors\, the small size of the coastal dune plan ts (mostly herbaceous)\, and the large amount of data generated are the ma in challenges in achieving ultra-high-resolution LC maps of vegetation map ping. \nThis work focuses on developing a VHR vegetation cover classificat ion model for three areas of the San Rossore National Park in Italy using data collected by UAS (DJI Phantom 4 multispectral) with a multispectral o ptical sensor (RGB\, Redge\, NIR). The machine learning model is trained o n two phenological-relevant epochs (September 2021 and May 2022) using a s ampling scheme that combines UAS flight acquisition and field vegetation s urvey data collected at high precision positioning (dual frequency GNSS). A total of 757 herbaceous and shrub species were sampled.\nThe VHR classif ication of 12 species and 2 service classes (Debris and Sand) is multitemp oral supervised object-oriented (OBIA)\, characterised by spectral feature s\, spectral indices\, elevation\, and texture. Three areas of about 5 hec tares each were analysed\, one used solely for transferability tests.\nThe calibrated multispectral orthomosaics and the Crown Height Model (CHM) we re generated with Structure from Motion-based processing. Textural feature s based on Haralick co-occurrence matrix and spectral indices were compute d\, resulting in a final dataset of 31 features.\nThe semantic segmentatio n was performed using eCognition Developer (Trimble)\, based on the Normal ised Difference Vegetation Index (NDVI)\, RGB and CHM of May 2022 dataset\ , resulting in 383’200 elements over the three study areas. Imbalanced datasets\, such as the one of this work\, may lead to inaccurate classific ation\, so the borderline synthetic minority oversampling technique (SMOTE ) was used for oversampling the training dataset.\nThe random forest algor ithm was used to classify tree species\, and feature selection based on GI NI impurity was conducted to reduce the dimensionality of the input featur es (reduced to 19 based on the statistical distribution of impurity).\nTo verify the accuracy of the model\, a primary accuracy measure based on the error matrix was calculated\, and the model was cross-validated using a 1 00-fold stratified cross-validation. The overall accuracy (OA) was found t o be 0.77\, with a standard deviation of 0.14. After feature selection\, t he OA slightly decreased to 0.76\, but the processing time was improved\, and the standard deviation was reduced to 0.13. The model was then applied to an unseen dataset of the transferability-test area\, and the OA decrea sed to 0.62.\nIn conclusion\, using UAS and multispectral ad multi-tempora l optical data provides a valuable tool for ultra-high-resolution LC mappi ng of vegetation in challenging environments such as coastal sand dunes. T he developed vegetation cover classification model based on machine learni ng algorithms accurately classifies vegetation species and its performance s are in line with the literature. Further research is needed to improve t he model's accuracy when applied to different datasets and to extend the m odel to map other vegetation-dominated dune environments. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Vegetation Cover Classification of Coastal Sand Dune Ecosystems Usi ng Ultra-High-Resolution UAS Imagery and Machine Learning Techniques - Ele na Belcore\, Melissa Latella\, Marco Piras\, Carlo Camporeale URL:https://talks.osgeo.org/foss4g-it-2023/talk/XL9TFZ/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-AHR93Z@talks.osgeo.org DTSTART;TZID=GMT:20230612T164500 DTEND;TZID=GMT:20230612T170000 DESCRIPTION:Debris covered glaciers are common in many parts of the world a nd contribute to the hydrological cycle and freshwater availability in ari d regions. In the Italian Alps\, some of the largest debris covered glacie rs are located in the Mont Blanc group and among them Brenva glacier (5.95 km2 in the latest glacier inventory\, Paul et al. 2020) reaches the lowes t terminus elevation on the southern side of the Alps at 1415 m a.s.l.. Th e debris supply originated from several rockfall events throughout the Hol ocene\, with the most recent ones in 1920s and in 1997. In 2004\, the ice flow was interrupted from the icefall to the glacier tongue\, and this led to enhanced ice stagnation and mass wasting. To investigate the recent ev olution of the glacier tongue\, we carried out two UAV surveys in 2019 and 2020\, using a DJI Mavic and DJI Phantom 4 RTK drones. During the first s urvey\, ground control points were used to increase the accuracy of the fi nal products\, while during the second survey we relied on RTK corrections to improve geolocation. The acquired images were processed using a struct ure from motion pipeline and yielded high resolution orthomosaics and DEMs . By comparing the DEMs from the two photogrammetric surveys\, we were abl e to describe the rapid thinning of the ice tongue\, which lost more than 40 m over one year only. Downwasting of the ice was faboured by the format ion of epiglacial lakes\, which enhance melt. By generating DEMs and ortho mosaics from aerial data\, we reconstructed the recent history of the glac ier\, showing an initial phase of mass transfer from the rockfall and the subsequent melt out of the ice tongue. DTSTAMP:20260609T143015Z LOCATION:Sala Biblioteca @ PoliBa SUMMARY:Extreme mass loss of Brenva glacier from UAV surveys - Davide Fugaz za\, Fabrizio Troilo URL:https://talks.osgeo.org/foss4g-it-2023/talk/AHR93Z/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-ZGD7RT@talks.osgeo.org DTSTART;TZID=GMT:20230612T170000 DTEND;TZID=GMT:20230612T171500 DESCRIPTION:West Nile Disease (WND) is one of the most spread zoonosis in I taly and Europe caused by a vector-borne virus. In Italy\, the surveillanc e for WN and USUTU viruses is focused to early detect the virus circulatio n in a territory: it involves equids\, wild and resident birds and mosquit oes. \nIn the Italian ecosystem\, peak transmission of WNV to humans typic ally occurs between July and September\, coinciding with the summer season when mosquitoes are most active and temperatures are highest. To early de tect WNV circulation and therefore to reduce the risk of transmission to h umans\, wild birds\, corvids\, poultry\, horses\, and mosquitoes are sampl ed according to a risk-based ranking of the Italian provinces and WNV infe ction are confirmed. Together with field activities it is important to ide ntify suitable climatic and environmental conditions for the vectors and v irus to spread. The recent and massive availability of Earth Observation ( EO) data and the continuous development of innovative Machine Learning met hods can contribute to automatically identify patterns in big datasets and to make highly accurate identification of areas at risk.\nIn this study\, the veterinary cases notified in the epidemics 2017-2020 were collected f rom the National Information System for Animal Disease Notification (SIMAN ) and associated to climatic and environmental variables. EO data were der ived from different sources\, downloaded\, mosaicked\, converted to degree s (for temperature)\, pre-processed and harmonised: Land Surface Temperatu re (LST) Daytime and LST Night-time were derived from the product NASA-MOD IS MOD11A2 (8-days temporal resolution\, 250 meters spatial resolution)\; Normalized Difference Vegetation Index (NDVI) dataset was derived from the product NASA-MODIS MOD13Q1 (MODIS/Terra Vegetation Indices 16-Day L3 Glob al 250 m)\; the Surface Soil Moisture (SSM) was derived from Copernicus - Daily SSM 1-km V1 product. Each eight consecutive images of SSM have been merged to have a unique raster covering the whole Italy\, for a total of 4 6 images per year. We have then applied a gap filling procedure to replace the empty pixels in the datasets\, as the presence of missing values can prevent an accurate and homogeneous (in space and time) prediction. The th ree EO datasets have been resampled at the highest available spatial resol ution (250 m) using bilinear interpolation method\, and each dataset has m aintained its own temporal scale (NDVI: 16 days\; LSTD\, LSTN and SSM: 8 d ays).\nApplying a raster-based approach with a time window of 16 days\, we investigated the WN virus circulation in relation to the EO variables col lected during the 160 days before the infection took place\, with the aim of evaluating the predictive capacity of lagged remotely sensed variables in the identification of areas at risk for WNV circulation in Italy.\n\nAn Extreme Gradient Boosting model was trained with data from 2017\, 2018 an d 2019 and tested for the 2020 epidemic\, predicting the spatio-temporal W NV circulation two weeks in advance with an overall accuracy of 0.86 (sens itivity= 0.79\, Specificity = 0.91\, AUC = 0.94). \nThis work lays the bas is for an early warning system (16-days ahead) that alert public authoriti es when climatic and environmental conditions become favourable to the ons et and spread of WNV. This knowledge can be used to define intervention pr iorities within national surveillance plans. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Earth Observation Data and Extreme Gradient Boosting Model: innovat ive methods predicting West Nile Virus Circulation in Italy - Carla Ippoli ti\, Luca Candeloro\, Susanna Tora\, Federica Iapaolo\, Federica Monaco\, Daniela Morelli\, Annamaria Conte URL:https://talks.osgeo.org/foss4g-it-2023/talk/ZGD7RT/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-TVZFQV@talks.osgeo.org DTSTART;TZID=GMT:20230612T170000 DTEND;TZID=GMT:20230612T171500 DESCRIPTION:Erosion is a major environmental threat that has a negative imp act on agriculture and ecosystems. In the region of Dudh Koshi\, in Nepal\ , soil erosion is taking place at a high rate\, causing a serious concern for the fertility of agricultural lands. This region of Nepal relies on a subsistence farming system\, therefore a reduction in the fertility of lan ds could cause a threat to the food security of the population inhabiting this mountain area. Some study have been conducted in order to estimate th e rate of soil erosion\, for this area of the world\, in the present and r ecently passed decades\, but the study proposed in this works aims at esti mating the future trends of soil erosion rates\, until 2100\, in order to detect the values of increment in soil loss and the areas that will face t he worst cases. To achieve this goal the two parameter of the D-RUSLE mode l\, that change with the time\, were considered: precipitation (R-Factor) and land cover (C-Factor). As far as the R-factor is concerned\, different scenarios of climate change have been considered: eight combination of Gl obal Circulation Model (GCM) under Representative Concentration Pathway (R CP). To perform this analysis data from Himalayan Adaptation\, Water and R esilience (HI-AWARE) were used. To evaluate the future evolution of the C- Factor a neural network was trained using two different land cover maps\, representing the situation in 1990 and 2010. The land cover maps were prov ided by International Center for Integrated Mountain Development (ICIMOD). DTSTAMP:20260609T143015Z LOCATION:Sala Biblioteca @ PoliBa SUMMARY:Future estimation of soil erosion\, in Dudh Koshi basin (Nepal) - F rancesco Niccolò Polinelli\, Marco Gianinetto URL:https://talks.osgeo.org/foss4g-it-2023/talk/TVZFQV/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-FCTRL7@talks.osgeo.org DTSTART;TZID=GMT:20230612T171500 DTEND;TZID=GMT:20230612T173000 DESCRIPTION:In late February 2022\, the invasion of Russia in the Ukrainian territory started. As is known\, air is one of the most affected componen ts of the environment during such exceptional circumstances. The changes i n the pattern of civilian and industrial activities may cause the variatio n of air quality in terms of different pollutants. Hence\, conducting prop er air quality assessment can be of great importance in the war-affected a reas. The pivotal objective of this research is to present an overview of air quality monitoring and air pollution prediction carried out for Ukrain ian territory. Utilizing the Copernicus Sentinel-5P TROPOMI observations\, the emissions of ozone (O3)\, nitrogen dioxide (NO2)\, formaldehyde (HCHO )\, and carbon monoxide (CO) in Kiev\, Kharkiv\, Donetsk\, Kherson\, and L viv are monitored during 2022. The relevant records are compared to the sa me business-as-usual (BAU) periods in 2019 and 2021 to detect significant changes. Visual interpretations supported by statistical analysis proved t hat the ongoing war has significant impacts on the concentration of pollut ants throughout Ukraine. Following this\, a hybrid machine learning model is developed to predict the concentration of a well-known air quality indi cator called particulate matter 2.5 (PM2.5). The prediction results indica ted a reliable accuracy of the proposed methodology\, as well as its super iority over benchmark models. In short\, this research shows promising app lication of state-of-the-art technologies inducing remote sensing and arti ficial intelligence for solving air quality problems in during exceptional events. DTSTAMP:20260609T143015Z LOCATION:Sala Biblioteca @ PoliBa SUMMARY:Air Quality Monitoring and Prediction in Ukraine During War Crisis Using Copernicus Data and Machine Learning - Marco Scaioni\, Mohammad Mehr abi\, Mattia Previtali URL:https://talks.osgeo.org/foss4g-it-2023/talk/FCTRL7/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-J9M9XE@talks.osgeo.org DTSTART;TZID=GMT:20230612T171500 DTEND;TZID=GMT:20230612T173000 DESCRIPTION:Deforestation is one of the main drivers of environmental degra dation around the world. Slash-and-burn is a common practice\, performed i n tropical forests to create new agricultural lands for local communities. In Madagascar\, this practice affects many natural areas including lemurs ’ habitats. Reforestation within natural reserves is desirable combining native species with fast-growing ones\, aiming at habitats restoration. I n this context\, the extensive detection of forest disturbances can effect ively support restoration actions\, providing an overall framework to addr ess priorities and maximizing ecological benefits. In this work and with r espect to a study area located around the Maromizaha New Protected Area (M adagascar)\, an analysis was conducted based on a time series of NDVI maps from Landsat missions (GSD = 30 m). The period 1991-2022 was investigated to detect location and moment of forest disturbances with the additional aim of quantifying the level of damage and of the recovery process at ever y disturbed location. It is worth to remind that the Maromizaha New Protec ted Area presently hosts 12 species of lemurs. Detection was operated at p ixel level by analyzing the local temporal profile of NDVI (yearly step). Time of the eventual detected disturbance was found within the profile loo king for the first derivative minimum. Significance of NDVI change was eva luated testing the Cebyšëv condition and the following parameters mapped : (i) level of damage\; (ii) year of disturbance\; (iii) year of the event ual “total” recovery\; (iv) rate of recovery. Finally\, temporal trend s of both forest lost and recovery were analyzed to investigate potential impacts onto local lemurs population and\, more in general\, to the entire Reserve. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:A Possible Role of NDVI Time Series from Landsat Mission to Charact erize Lemurs’ Habitats Degradation in Madagascar - Enrico Borgogno-Mondi no\, Federica Ghilardi\, Samuele De Petris\, Valeria Torti\, Cristina Giac oma URL:https://talks.osgeo.org/foss4g-it-2023/talk/J9M9XE/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-UWZRTN@talks.osgeo.org DTSTART;TZID=GMT:20230612T173000 DTEND;TZID=GMT:20230612T174500 DESCRIPTION:For Veneto Region\, the year 2022 was affected by anomalies in terms of average temperature and recorded rainfall\, compared to the clima tic average of the last thirty years. The occurrence of these climatic con ditions highlighted the inevitable negative effects for the environment\; in particular\, water resources were affected by this combination of clima tic criticalities\, both in terms of rivers’ flow rate and underground w ater flows\, also due to the poor snow accumulations recorded in the Alps during the winter period.\nCritical profiles in terms of surface runoff ha ve been highlighted on various rivers and streams\, particularly in the su mmer period. The main Italian river\, the Po\, was also affected by a wate r flow decrease in 2022\, making evident the increase in the surfaces char acterized by the presence of sand islands\, visible along the river path.\ nThis work\, carried out by the Territorial Planning Department of the Ven eto Region\, aimed at a quantitative analysis of the surface covered by sa nd islands and surface water in a sufficiently representative area of the Po basin.\nFor the purposes of this study\, the area included between the municipalities of Occhiobello (RO) and Ferrara was analysed (border area b etween Veneto and Emilia Romagna regions\, where Po river flows). The anal ysis was carried out for the month of July 2022\, comparing the data obtai ned with those relating to previous years (2020 and 2021).\nIn order to id entify the islands of sand\, multispectral Sentinel-2 satellite images wer e analysed\, taking into consideration the wavelengths of the visible (B02 \, B03 and B04 bands)\, and that of the near infrared (B08 band). The area was then classified using supervised classification with the Random Fores t classification algorithm\, a methodology that allows to obtain high-prec ision classifications.\nConsidering the pixels’ size and the limits of t he supervised classification\, the precision of the analysis performed an accuracy higher than 95%. The analysis remarks relevance for monitoring th e negative effects caused by the drought on the Po river. In the area unde r examination\, a constant decrease in the surface of surface water was ob served\, and a corresponding increase of natural sand islands. From the an alysis obtained\, thanks to the use of the classifier\, it is evident that the year 2022 was a year in which drought contributed to worsen the water stress for the Po river\, with evident consequences on the environment in terms of availability of the water resource and the rise of the salt wedg e near the river mouth. Moreover\, the study presented here confirms the i mportance of using satellite data and classification tools for monitoring water bodies. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Evolution of the surface waters of the Po river in the 2020-22 peri od - a quantitative analysis of the drought effects with Sentinel-2 images - Carlo Masetto\, Niccolo' Tolio\, Eleonora Cagliero\, Benedetta Gori\, U mberto Trivelloni\, Alessandra Amoroso\, Laura Magnabosco URL:https://talks.osgeo.org/foss4g-it-2023/talk/UWZRTN/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-8FJMMB@talks.osgeo.org DTSTART;TZID=GMT:20230612T173000 DTEND;TZID=GMT:20230612T174500 DESCRIPTION:The damages generated by fire events on vegetation structure an d its evolution and the economic impacts on human activity\, life and infr astructures have led the scientific interest to develop tools and algorith ms able to support the detection and monitoring of burned areas (BA). \nTh e possibility of monitoring the fire evolution and mapping the BA has been strongly supported in last decades by the opportunity to use a significan t quantity of satellite observations. The freely and timely availability of remote sensing data has grown so faster in the last years as well as a higher spatial resolution that makes the earth observation derived data th e key component in supporting both government agencies and local decision- makers in monitoring natural disasters such as wildfire or floods. \nThe C opernicus Sentinel-2 with 20-m spatial resolution and a 5-day return perio d is a great candidate for near real-time (NRT) applications of change det ection based on spectral indices. An automatic near-real time (NRT) burned area (BA) mapping approach designed to map BA using Sentinel-2 (S2) data was proposed in [1] and recently updated in [2]. The AUTOmatic Burned Area s Mapper (AUTOBAM) tool was originally designed to respond the need of the Italian Department of Civil Protection in monitoring spatial distribution and numerousness of BA during the fire season (June- September) over the Italian territory. The atmospherically corrected Level-2A(L2A) surface ref lectance products from S2 are used: the automatic chain downloads and proc esses the most updated L2A products available on Copernicus Open Access Hu b over the studied area. At the three spectral indices estimated (Normaliz ed Burn Ratio\, the Normalized Burned Ratio 2\, and the Mid-Infrared Burne d Index) a change detection approach is applied. AUTOBAM compares the valu es of these indices acquired at current time with the values derived from the most recent cloud-free S2 data. The procedure for BA mapping is based on different sequential image processing techniques such as clustering\, a utomatic thresholding\, region growing that conduce to a final BAs map wit h grid pixel size of 20m. Finally\, a quality flag is included for each AU TOMAB BAs to certify a temporal and spatial correspondence with ancillary data\, such as derived active fire detections from MODIS\, VIIRS and natio nal fire notifications.\nThe daily run of AUTOBAM allowed us to produce a burned area database for Italy. To evaluate the quality of the database\, the AUTOBAM-derived BAs have been compared with the burn perimeters compil ed by Carabinieri Command of Units for Forestry\, Environmental and Agri-f ood protection. These perimeters represent the official burned area data f or Italy. A validation procedure based of both a pixel-based confusion mat rix and a set object-based accuracy metrics has been set up considering th e whole Italian territory and years 2019-2021. Good results have been obta ined by AUTOBAM in terms of detection capability (the Correctness paramete r) and overlap factor (both larger than 60%). However\, quite high values of the commission error were obtained\, especially in 2019. Through a per land cover analysis\, it was found that this error mostly occurred in cult ivated land. Excluding the latter target\, the commission error was always less than 35%\, the omission error was less than 27% and the Dice Coeffic ient was larger than 69%. Moreover\, starting from 2021\, the Lazio region is providing AUTOBAM with accurate fire notifications derived from its SO UP (Italian acronym of Permanent Unified Operations Room). An experimental activity has been performed to verify whether these notifications can be used as trigger for the burned area mapping algorithm to reduce the number of false positives.\n\n\nReferences:\n\n[1] L. Pulvirenti et al.\, “An automatic processing chain for near real-time mapping of burned forest are as using sentinel-2 data\,” Remote Sens.\, vol. 12\, p. 674\, 2020.\n[2] L. Pulvirenti\, G. Squicciarino\, E. Fiori\, D. Negro\, A. Gollini\, and S. Puca\, “Near real-time generation of a country-level burned area data base for Italy from Sentinel-2 data and active fire detections\,” Remote Sens. Appl. Soc. Environ.\, vol. 29\, 2023. DTSTAMP:20260609T143015Z LOCATION:Sala Biblioteca @ PoliBa SUMMARY:A burned area database for Italy from Sentinel-2 images and ancilla ry data - Luca Pulvirenti\, Giuseppe Squicciarino\, Dario Negro\, Silvia P uca URL:https://talks.osgeo.org/foss4g-it-2023/talk/8FJMMB/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-VFAUSE@talks.osgeo.org DTSTART;TZID=GMT:20230612T174500 DTEND;TZID=GMT:20230612T180000 DESCRIPTION:NEREUS (Network of European Regions Using Space Technologies) i s a European association representing the interests of European regions th at use space technologies whilst simultaneously highlighting the regional dimension of European space policy and programmes. It is the key mission o f NEREUS\, as a unique thematic network for matters of regional Space Uses \, to explore the benefits of space technologies for European Regions and their citizens as well as to promote the use of space and its applications .\nVeneto Region is a NEREUS active member since 2008\, having played an a ctive role in promoting space technologies (GNSS and earth-observation) du ring the years.\nAs one of the historical members of NEREUS\, Veneto Regio n suggested some actions to boost activities on Earth Observation. Followi ng the inspiring principle “Bringing the benefits of space uses to Europ ean regions and their citizens”\, the proposal was to launch in 2023 the Working Group on Earth observation\, composed by of regional experts and space technologies. The main ojectives are: 1) spreading the knowledge of earth observation data and space technologies\; 2) sharing experiences tha t can lead to the creation of mutual synergies for a better data-governanc e\; 3) supporting local institutions\, citizens and companies in the use o f space technologies\; 4) inspiring and easing positive policy responses t o local institutions. \nIn this framework\, Veneto Region recently finaliz ed the application for the Interreg Europe project “SAT.SDI.F.A.CT.ION ( SATellite data and Spatial Data InFrAstruCTures for an evidence-based regI ONal governance). In the same project\, NEREUS is the Advisory partner.\nE uropean Earth Observation System Copernicus contributes as a vital source of knowledge to improve territorial and environmental management\, efficie nt use of natural resources and delivery of effective public policies and services to citizens. However\, it is still not clear to which extent sate llite data are used by local and regional administrations\, specifically h ow much satellite data are integrated within regional Spatial Data Infrast ructure (SDI). Spatial Data Infrastructures\, as defined by the INSPIRE di rective\, are to be considered as a framework of policies\, institutional arrangements\, technologies\, data\, and people that enable the sharing an d effective usage of geographic information by standardizing formats and p rotocols for access and interoperability. The overall scope of the project is to promote the exchange and transfer of experiences related to the use of Satellite Data in local and regional Spatial Data Infrastructures (SDI )\, leading to a better\, evidence-based governance of the regional territ ory.\nThe integration of Satellite Data in local and regional SDIs (Spatia l Data Infrastructures) is of strategic importance and with great potentia l to support government and decision making at sub-national level\, provid ing unrivalled information in different fields of application. However\, t he uptake of existing satellite data and services is not being fully used\ , and their integration in added-value services for regional and local gov ernments is far from optimal. The SATSDIFACTION project aims at working ex actly around this issue\, promoting the exchange and transfer of experienc es related to the use of Satellite Data in local and regional Spatial Data Infrastructures as a mean to improve the performance of regional policy i nstruments\, eventually leading to a better\, evidence-based governance of the regional territory. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:“Governance of Earth Observation Data - synergies at European lev el. The joint experiences of Nereus and the Veneto Region” - Carlo Maset to\, Umberto Trivelloni\, Roya Ayazi\, Margarita Chrysaki\, Mirko Mazzarol o\, Federico Bastarolo\, Roberta Santin\, Silvano De Zorzi URL:https://talks.osgeo.org/foss4g-it-2023/talk/VFAUSE/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-9YWVQF@talks.osgeo.org DTSTART;TZID=GMT:20230613T090000 DTEND;TZID=GMT:20230613T091500 DESCRIPTION:Italy\, with 58 properties inscribed on the World Heritage List \, is the country with the highest number of UNESCO cultural heritage site s in the world. At the same time\, Italy faces significant natural hazards from a geological and soil protection perspective. Particularly\, archaeo logical sites and works of art are susceptible to geo-hydrological instabi lity and deterioration. In order to understand instability and degradation processes it is essential to consider the extent and state of cultural he ritage in the context of its geology\, geomorphology\, natural and urban e nvironments. This is fundamental to decide the priorities of risks mitigat ion practices and protection/conservation strategies.\nThe monitoring of I talian cultural heritage is a fundamental activity for their long-term pro tection and conservation. Radar interferometric remote sensing techniques are non-invasive contactless and advanced methods capable of determining d isplacements and deformations affecting structures and natural slopes with millimeter accuracy. They represent powerful tools that can be profitably used for monitoring cultural heritage\, architectural structures\, and ar chaeological sites without causing any damage\, and at the same time explo it several temporal time series\, thanks to the available satellite conste llations. \nIn the framework of the Extraordinary Plan for the Monitoring and Conservation of Cultural Property (Piano Straordinario di Monitoraggio e Conservazione dei Beni Culturali Immobili)\, an analysis of several Ita lian historical-cultural sites (Paestum - SA\, Volterra - PI\, Pienza - SI \, Civita di Bagnoregio - VT\, Orvieto - TR\, Populonia - LI) is being con ducted by the UNESCO Chair "Prevention and sustainable management of hydro geological risk" at the University of Florence. The analysed dataset inclu des old and new satellite sensors: from ERS-ENVISAT time series\, to Cosmo Sky-Med (comprising data from 2011 to 2014\, and a new acquisition from 20 15 to 2023)\, and Sentinel data available from the European Ground Motion Service. The data was processed using PSI (Persistent Scatterer Interferom etry) techniques\, and combined with geothematic data in a GIS environment \; field validation was carried out for each site by means of field survey s. The outcomes of this work will provide useful suggestions for damage pr evention in the framework of the planning of protection-conservation measu res of the cultural assets.\n\nIn support of these activities\, a non-inva sive investigation model is proposed that incorporates non-invasive strate gies for preventing and monitoring instability and natural hazards. In par ticular\, the evaluation of the conditions of the cultural heritage assets affected by hydrogeological risk is performed through the methodologies b ased on PSI data already tested in the scientific literature to evaluate t he conditions of potential instability of the artefacts on a local scale\, analyzed considering the remotely detected deformation rates from satelli te measurements\, and integrated with background geological data\, constru ction characteristics and field evidence.\nThis project aims at developing a sustainable system for analyzing and monitoring the architectural and c ultural heritage integrity and stability\, incorporating a high level of s cientific and technological knowledge\, in order to protect cultural herit age threatened by natural hazards\, as well as to give a realistic and cur rent picture of hydrogeological risks and vulnerabilities. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Analysis and prevention of historical-cultural heritage instability using satellite radar interferometry - Silvia Bianchini\, Anna Palamidess i\, William Frodello\, Veronica Tofani URL:https://talks.osgeo.org/foss4g-it-2023/talk/9YWVQF/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-J9RHYY@talks.osgeo.org DTSTART;TZID=GMT:20230613T090000 DTEND;TZID=GMT:20230613T091500 DESCRIPTION:Agricultural plastics applications are essential for both quali ty and production increase and for the efficiency improvement of agricult ural systems. However\, they generate significant amounts of waste that po se a serious threat to the environment and to the agro-ecosystem. Effectiv e waste management strategies are required to address this issue\, which c an be achieved through several means\, such as the development of a compre hensive and accurate map of agricultural plastic waste (APW) gravity cente rs. This paper presents a GIS-based model for mapping APW gravity centers in the province of Bari\, Italy.\nThe study first highlights the importanc e of agricultural plastics in promoting the productivity of the agricultur al system and the coupled negative impact that APW has on the environment and agro-ecosystem. The implementation of plastic waste production indices \, which take into consideration the properties of the plastic application s used in the production system\, is then discussed. These indices provide a quantitative assessment of the amount and type of APW generated in diff erent areas\, enabling effective mapping of the distribution of APW.\nTo m ap APW gravity centers\, land use maps and APW indices are used to identif y the areas with the highest APW generation. Gravity centers for the colle ction\, selection and first treatment of end-of-life plastics to be sent t o the recycling plants\, are determined based on the amount of APW generat ed\, with areas producing higher volumes of waste resulting in a closer gr avity center for waste collection and management. The model is implemented in the province of Bari\, Italy\, which has a large agricultural sector a nd significant APW generation.\nThe results of the study show that the GIS -based model is effective in identifying areas with the highest APW genera tion\, allowing for more efficient and effective waste management strategi es. The study also shows that the highest concentrations of APW gravity ce nters are in areas with intensive agriculture\, such as greenhouse farming and vineyards covered with plastic films and nets. These areas generate l arge volumes of waste and require efficient waste management strategies.\n Moreover\, the study highlights the need for a comprehensive mapping of AP W gravity centers to develop effective waste management strategies. The mo del can also be expanded to other regions with a large agricultural sector and significant APW generation. DTSTAMP:20260609T143015Z LOCATION:Sala Biblioteca @ PoliBa SUMMARY:A GIS-based model to map gravity centers of agricultural end-of-lif e plastics for a sustainable waste management - Giuliano Vox\, Ali Hachem \, Ileana Blanco\, Giacomo Scarascia Mugnozza URL:https://talks.osgeo.org/foss4g-it-2023/talk/J9RHYY/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-CERCVY@talks.osgeo.org DTSTART;TZID=GMT:20230613T091500 DTEND;TZID=GMT:20230613T093000 DESCRIPTION:In recent years\, Multi-Temporal Interferometric Synthetic Aper ture Radar (MT-InSAR) has become an increasingly popular technique for Str uctural Health Monitoring (SHM) purposes. The technique allows for the mea surement of ground deformation with high accuracy and spatial resolution b y utilizing Synthetic Aperture Radar (SAR) imagery taken from multiple tim e periods. MT-InSAR has been proven to be particularly effective in urban contexts due to the high reflectivity provided by structures\, which makes them visible in SAR imagery. Several interferometric algorithms have been developed that are specifically tailored to the urban environment\, makin g it possible to extract detailed information about buildings and infrastr ucture. Moreover\, the growing availability of high-resolution SAR satelli te constellations\, such as the Italian COSMO-SkyMed\, has also contribute d to the increased use of MT-InSAR for SHM purposes. These constellations provide high-quality SAR imagery in which a high density of Measurement Po ints (MP) can be detected\, allowing for the recording of detailed informa tion on individual structures. With MT-InSAR\, it is possible to collect i nformation about the deformations at both global scale\, detecting the mos t critical areas within the urban context\, and local scale\, focusing on individual structures such as buildings or bridges. Despite its many advan tages\, MT-InSAR has some drawbacks that must be taken into consideration. The technique requires complex post-processing and expert interpretation of results to avoid data misinterpretation\, and technical difficulties su ch as geocoding errors and noisiness in the time series can be encountered during the analysis. Furthermore\, the technique is sensitive to changes in the environment\, such as changes in vegetation cover or weather condit ions\, which can affect the quality of the SAR imagery. Overall\, MT-InSAR \, despite its limitations\, is a cost-effective and highly efficient tool for monitoring structures. It offers significant benefits in identifying potential problems and detecting deformations\, providing valuable insight s into the stability and health of structures. With the increasing availab ility of high-quality SAR imagery\, MT-InSAR is predicted to have even mor e widespread usage for SHM purposes in the future.\nIn this work\, the MT- InSAR technique is applied in the urban center of Verona (northern Italy)\ , a city full of Cultural Heritage assets. The study examined images captu red by the COSMO-SkyMed constellation in Stripmap mode for both ascending and descending orbits during the period 2011-2022\, to detect deformations at both global and local scales. Initially\, spatial interpolation algori thms were utilized to gauge the overall deformations at the urban level\, identifying the most critical areas. The results show that the area of Ver ona presents an overall stability: the velocities of deformation of the hi storic center lie within the so-called range of stability (-1.5 – +1.5 m m/year)\, whereas the most critical areas can be identified in the norther n part of the city in correspondence of the northern portion of the town b eltway. Later\, attention was directed towards some of the main cultural a ssets in the city\, namely the Roman Arena\, the Lamberti Tower\, and the Roman Theater. For each asset several MPs were detected\, distributed alon g the structures' height. The information contained in each MP\, in terms of displacement velocity and displacement time series\, allow for an under standing of the structural stability and of the evolution of the deformati ons during the monitoring period. As the urban analysis suggested\, the in vestigated structures appear to be quite stable and no evident criticaliti es could be detected. However\, despite the low magnitude of the deformati ons measured in the city of Verona\, this research demonstrates the potent ial of MT-InSAR in the field of structural monitoring of Cultural Heritage . DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Structural monitoring of Cultural Heritage assets at urban and loca l scale through MT-InSAR - Amedeo Caprino\, Francesca da Porto URL:https://talks.osgeo.org/foss4g-it-2023/talk/CERCVY/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-SPGKEK@talks.osgeo.org DTSTART;TZID=GMT:20230613T091500 DTEND;TZID=GMT:20230613T093000 DESCRIPTION:The agricultural sector has benefitted over the last century fr om several factors that have led to an exponential increase in its product ive efficiency. The increasing use of new materials\, such as plastics\, h as been one of the most important factors\, as they have allowed for incre ased production in a simpler and more economical way. Various polymer type s are used in different phases of the agricultural production cycle\, but when their use is incorrectly managed\, it can lead to serious environment al impacts. Plastic pollution\, largely perceived by the public as a major risk factor that strongly impacts sea life and preservation\, has an even higher negative impact on terrestrial ecosystems. Indeed\, quantitative d ata about plastic contamination on agricultural soils are progressively em erging in alarming ways. One of the main contributors to this pollution in volves the mismanagement of Agricultural Plastic Waste (APW)\, i.e.\, the residues from plastic material used to improve the productivity of agricul tural crops - such as: greenhouse covers\, mulching films\, irrigation pip es\, etc. Indeed\, a wrong management of agricultural plastics during and after their working lives\, may pollute the agricultural soil and aquifers by releasing macro-\, micro-\, and nano-plastics\, which could also enter into the human food chain. \nIn this study\, an applied and simplified me thodology to quantify and manage agricultural plastics is proposed. The te chniques used are based on a deductive approach\, based on the quantificat ion through the use of different remote-sensed datasets (orthophotos and s atellite images) of the areas covered by plastics used for crop protection . Additionally\, through an inductive approach\, based on statistical data from the agricultural census of the administrative areas of the Italian p rovinces\, an agricultural plastic coefficient (APC) has been proposed\, i mplemented\, and spatialized in a GIS environment\, to produce a database of APW for each type of crop. \nThe study area chosen for the analysis her e presented is a part of the Ionian Coast of Southern Italy\, which includ es the most important municipalities of the Basilicata Region as for fruit and vegetable production. The use of geographical techniques and observat ion methodologies\, developed in an open-source GIS environment\, enabled an accurate location of about 2000 hectares of agricultural land covered b y plastics\, as well as the identification of areas most susceptible to th e accumulation of plastic waste. The proposed methodology can be exported to other countries\, since it represents valuable support that could reali ze\, in integration with other tools\, a database of agricultural plastics use\, which may be a starting point to plan strategies and actions target ed to the reduction of the plastic footprint of agriculture. The technique s and the model implemented\, due to its simplicity of use and reliability \, can be applied by different local authorities\, in order to create an a tlas of agricultural plastics\, which would be applied for their continuou s monitoring\, thereby enabling to upscale future social and ecological im pact assessments\, identification of new policy impacts\, market searches\ , etc. as well. DTSTAMP:20260609T143015Z LOCATION:Sala Biblioteca @ PoliBa SUMMARY:Implementing a GIS-based digital atlas with different datasets for estimating the agricultural plastics environmental footprint - Pietro Picu no\, Dina Statuto\, Giuseppe Cillis URL:https://talks.osgeo.org/foss4g-it-2023/talk/SPGKEK/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-CSKNKT@talks.osgeo.org DTSTART;TZID=GMT:20230613T093000 DTEND;TZID=GMT:20230613T094500 DESCRIPTION:All archaeological sites are affected by changes due to a natur al decay related to the ageing. If it compromises the functionality of the cultural property it becomes pathological and results in degradation. The monitoring\, carried out with the use of innovative technologies\, is a p reliminary tool to an effective planned maintenance activity and therefore preventive conservation. Regarding these aspects the Parco archeologico d el Colosseo took a strategic direction of a gradual transition from a plan of monitoring to a constant and planned conservation activity.\nThe monit oring project of the Parco archeologico del Colosseo (that started in a sy stematic way only in 2018) was inspired by the desire to build a sustainab le system of protection and conservation\, then allowing a proper tourism valorisation. With these objectives in mind\, the Parco archeologico del C olosseo has developed a static and dynamic monitoring project consisting o f five fundamental activities:\n1. a database of all the historical data o f the monuments\, together with the existing graphic and photographic docu mentation (namely digital documen-tation archive)\; \n2. visual monitorin g carried out by teams of technicians dedicated to the inspection and cont rol of monuments\, also thanks to dedicated app that will allow to send da ta to the central system\; \n3. satellite monitoring (historical analysis of the satellite data) going directly into the system and analysed in orde r to monitor possible ground deformation\;\n4. in situ monitoring from tra ditional geotechnical instruments\;\n5. experimental activities.\nBasicall y\, the project involves the creation of a multi-parameter system of perma nent control of the entire archaeological area\, with the associated indic ators of the level of risk\, based on the combined use of innovative techn ologies. \nIn this way\, the project will allow to plan\, in an effective and timely manner\, the necessary interventions for both ordinary and extr aordinary maintenance\, thus providing not only an operational tool\, but also a management system for the Park with a better use of its financial r esources.\nAs part of this monitoring project\, the Parco del Colosseo req uested the presence of experts from the Italian Space Agency (ASI).\nThe i nstrumental diagnostic tools are accompa-nied by satellite monitoring\, al ready tested in the past for a short period\, to obtain information on gro und displacements\, structures\, and buildings. The use of satellite SAR interferometry technique applied to COSMO-SkyMed images is combined with t he advantage of being able to use the archives of radar images that allow us to deduce\, in an extensive manner\, the evolution in time of more than twenty years of deformation processes. One of ASI's contributions to the monitoring project is to provide the images acquired by the COSMO-SkyMed s atellites. Synthetic Aperture Radar (SAR) satellite data are gradually use d for study applications and monitoring of cultural heritage\, through mul ti-temporal analysis based on change detection techniques and differential interferometry (DInSAR). COSMO-SkyMed Constellation offers ideal features for routine monitoring of cultural heritage and observation in emergency situations which have been the subject of several demonstration\, (pre-) o perational and scientific research projects over the last sixteen years si nce the mission was declared fully operational. COSMO-SkyMed is the ASI SA R constellation\, the only one in the world to be made up of 5 satellites operational (3 first generation and 2 second generation) in the X band\, c apable of providing very high spatial resolution images (up to 1m per civi l use)\, very high acquisition frequency (revisit times up to 12 hours)\, in any meteorological and light conditions. The use of satellite SAR inter ferometry technique applied to COSMO-SkyMed images is combined with the ad vantage of being able to use the archives of radar images that allow us to deduce\, in an extensive manner\, the evolution in time of more than twen ty years of deformation processes. For these reasons\, the Parco also cons idered fundamental the satellite historical analysis of the archaeological area\, carried out since 2010 until 2019. The satellite images\, provided by ASI\, were processed on commission by e-GEOS with interferometric tec hnique. The data thus processed fed the web-GIS platform of the Parco’s monitoring project. (Della Giovampaola\, 2021) DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:The experience of the Archaeological Park of Colosseum in the use o f COSMO-SkyMed satellite data - Maria Virelli\, Deodato Tapete\, Irma Del la Giovampaola URL:https://talks.osgeo.org/foss4g-it-2023/talk/CSKNKT/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-WQPKTY@talks.osgeo.org DTSTART;TZID=GMT:20230613T093000 DTEND;TZID=GMT:20230613T094500 DESCRIPTION:The setting up of a general framework for the environmental and landscape planning of a protected area\, requires a basic detailed survey of this area and its vegetation\, accompanied by a monitoring of the latt er\, so that a specific maintenance plan can be implemented accordingly. W ith reference to an area of high environmental\, landscape and archaeologi cal value\, such as the 'Pulo di Molfetta' (Municipality of Molfetta – S outhern Italy)\, some georeferenced floristic surveys have been carried ou t\, with relative mapping and monitoring of the vegetation growth. In this way\, it has been possible to draw up some detailed management measures f or the vegetation\, as well as to plan suitable interventions of ecologica l engineering\, aimed at determining the most appropriate conditions for t he recovery\, use and sustainable management of this study area\, even for tourism purposes. These activities have been conducted through the constr uction of a basic model\, which has been implemented in a Geographical Inf ormation System (GIS)\, structured on the basis of some Free and Open-Sour ce geographic data\, integrated with a geo-localized 3D survey of the geom orphology\, architectural structures and the flora-vegetation habitat. The survey\, georeferencing and 3D model formation operations have been condu cted by means of:\n1) a photogrammetric survey at ultra-low height – var iable\, according to the orography - carried out with Unmanned Aerial Vehi cles (UAVs)\, to obtain a 3D digital modelling\, having a readable resolut ion of at least 2 cm/pixel\;\n2) coverage with a block of frames with nadi ral and sub-horizontal orientation\, for a readability optimized to the an alysis of both the geomorphology and the existing medium and tall vegetati on\;\n3) creation of a framing and support network\, materialized with hig h-contrast photographic targets\, measured with RTK methodologies of GNSS satellite positioning and accuracy ≤ 3 cm\, georeferenced in the RDN2008 Reference Coordinate System - as per Italian regulations\;\n4) restitutio n of a 3D digital model\, obtained with SfM (Structure from Motion) techno logies\, formed by a resolution of 1-2 cm\, point clouds\, triangular mesh and photographic texture\;\n5) formation of a very-high resolution ortho- photomosaic\, with GSD (Ground Sampling Distance) ≤ 15 mm\, and of an ad equate number of radial sections\, with two views\, each one orthogonal to the section plane\;\n6) georeferenced identification of the individual fl oristic-vegetational elements and help for the construction of a database containing the agreed attributes defined and aimed at planning the vegetat ion layers present.\nThe metric analyses have been conducted with commerci al instruments\, such as UAVs systems\, GNSS and photogrammetric processin g software\, in order to test a very widespread\, low-cost operational cha in in the dimensional and qualitative survey of medium-small extensions\, affected by great biodiversity and an important altimetric variation such as a karst sinkhole.\nIn conclusion\, the results thus obtained have allow ed for the inclusion of the geo-localized 3D model in a GIS base for the k nowledge of the flora-vegetation habitat\, thanks to which it will be poss ible to provide support for the decision-making of planning choices for th e territory\, landscape and environment of the study area\, as well as its close surroundings\, so as to safeguard its biodiversity and ecosystem re lations. DTSTAMP:20260609T143015Z LOCATION:Sala Biblioteca @ PoliBa SUMMARY:Integrating geographical data with surveys conducted with UAVs for planning areas of high environmental value - Pietro Picuno\, Dina Statuto\ , Maurizio Minchilli URL:https://talks.osgeo.org/foss4g-it-2023/talk/WQPKTY/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-WYHQZZ@talks.osgeo.org DTSTART;TZID=GMT:20230613T094500 DTEND;TZID=GMT:20230613T100000 DESCRIPTION:Agricultural activities are responsible of huge amounts of soli d wastes. Agro-residues are a large quantity. Their utilization as a sourc e of biomass is a great opportunity in the optic of the spread of the circ ular economy model. Among the agro-residues\, those coming from olive grov es\, vineyard and fruit plantations can be particularly relevant. Biomass residues from agricultural pruning represent a typical case of agro-residu es yearly produced and hardly ever used as a resource for production of en ergy\, biochemical or other products. Mismanagement practices and especial ly burning of those agricultural waste are very common. These cause seriou s human and environmental health problems and threaten food and energy sec urity.\nFor a more sustainable and circular approach in agriculture\, agro -residues\, as those from pruning\, should not be considered as waste\, bu t as a precious resource. To pursue this aim\, there is a need of overcomi ng the technical and logistic problems that farmers experience. A proper m anagement system for biomass from pruning residues is mandatory.\nThis stu dy pretends to contribute to the development of a proper wise collection s ystem for agricultural biomass from pruning. The approach based on a terri torial analysis using a software GIS is followed.\nAt first\, the study in vestigates the types\, production processes and possible optimal sustainab le uses of biomass residues\, highlighting the main issues of the most spr ead practices. Then\, the objective is to map the production of the agricu ltural pruning residues on the territory. The attention is focused on an a rea particularly suited to agriculture in the Apulia Region (Italy). By us ing pruning indices for each crop and the land use map\, the study manages to quantify and localize the pruning residues. Based on this\, the best p osition of the collection centres is defined. The obtained maps can be eas ily used and updated. The study points out the power of the GIS tools for this purpose. The results of this study represent a first important step t owards the improvement of the agro-residues management system and can help policymakers and stakeholders to promote more sustainable actions. DTSTAMP:20260609T143015Z LOCATION:Sala Biblioteca @ PoliBa SUMMARY:A GIS-BASED SPATIAL ANALYSIS FOR AGRICULTURAL PRUNING WASTE MANAGEM ENT IN THE CIRCULAR ECONOMY PERSPECTIVE - Fabiana Convertino\, Evelia Sche ttini\, Annachiara Dell'Acqua URL:https://talks.osgeo.org/foss4g-it-2023/talk/WYHQZZ/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-GXRWAU@talks.osgeo.org DTSTART;TZID=GMT:20230613T094500 DTEND;TZID=GMT:20230613T100000 DESCRIPTION:Over the last decades\, remote sensing techniques have contribu ted to supporting cultural\nheritage studies and management\, including ar chaeological sites as well as their territorial context and\ngeographical surroundings. This paper aims to investigate the capabilities and limitati ons of the new\nhyperspectral sensor PRISMA (Precursore IperSpettrale dell a Missione Applicativa) by the Italian\nSpace Agency (ASI)\, still little applied to archaeological studies. The PRISMA sensor was tested on\nItalia n terrestrial (Alba Fucens\, Massa D’Albe\, L’Aquila) and marine (Sinu essa\, Mondragone\, Caserta)\narchaeological sites. A comparison between P RISMA hyperspectral imagery and the well-known\nSentinel-2 Multi-Spectral Instrument (MSI) was performed in order to better understand features and\ noutputs useful to investigate the aforementioned areas. At first\, bad ba nds analysis and noise removal\nwere performed\, in order to delete the nu merically corrupted bands. Principal component analysis\n(PCA) was carried out to highlight invisible details in the original image\; then\, spectra l signatures of\nrepresentative areas were extracted and compared to Senti nel-2 data. At last\, a classification analysis\n(ML and SAM) was performe d both on PRISMA and Sentinel-2 imagery. The results showed a full\nagreem ent between Sentinel and PRISMA data\, enhancing the capability of PRISMA in extrapolating\nmore spectral information and providing a better reliabi lity in the extraction of the features.\nthese first analyses\, applied in landscape archaeology studies\, highlight\nthe great spectral operational capabilities of the PRISMA sensor. In future studies\, a great\nadvantage can be brought by performing a reliable pansharpening in order to increas e\nthe resolution of the final images (geometric resolution from pancromat hic and spectral\nresolution from hyperspectral data)\, as well as a more stable multitemporal acquisition in\nthe areas under investigation. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Hyperspectral PRISMA and Sentinel-2 Preliminary Assessment Comparis on in Archaeological Sites - Sara Zollini\, Francesco Immordino\, Annachia ra Dell'Acqua\, Maria Alicandro\, Elena Candigliota\, Raimondo Quaresima URL:https://talks.osgeo.org/foss4g-it-2023/talk/GXRWAU/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-K8E7AQ@talks.osgeo.org DTSTART;TZID=GMT:20230613T100000 DTEND;TZID=GMT:20230613T101500 DESCRIPTION:In the last 20 years\, satellite technologies have been increas ingly used for study\, monitoring\, conservation and promotion of cultural heritage\, with a growing trend at both national and international levels . Recent publications critically reviewing the specialist scientific liter ature highlight a significant level of maturity of satellite applications in this domain (Luo et al.\, 2019\; Tapete and Cigna\, 2019a)\, so as sate llite images collected from optical sensors have already become common dat a exploited by (geo-)archaeologists\, researchers and heritage experts. A t the same time\, Synthetic Aperture Radar (SAR) technologies are increasi ngly being tested and exploited\, also beyond the specialist image analyst community\, thanks to multidisciplinary collaboration between different p rofessionals (Tapete and Cigna\, 2017) and facilitated SAR data access giv en the increasing provision by space agencies\, also in “ready to use” formats (Tapete and Cigna\, 2019b). At European level\, the Italian ecos ystem undoubtedly represents an excellence\, given not only the long tradi tion in exploitation of innovative technologies for cultural heritage\, bu t also the space sector investments into both Earth Observation missions w ith characteristics of image acquisition that well suit the user needs and requirements for this application domain\, and initiatives promoting down stream applications and services development engaging small\, medium and l arge enterprises. In continuity with the past decade\, ASI continues laun ching and managing several initiatives for cultural heritage\, in particul ar along the following directions: \n• Undertaking scientific research a nd development\, also through real-world user-driven use cases\, e.g. demo nstrating the performance achievable using national assets such as COSMOSk yMed data (Tapete and Cigna\, 2019b\; 2020)\;\n• Supporting COSMO-SkyMed data exploitation in projects with Italian institutions (e.g. Ministry of Culture\, Archaeological Park of Colosseum)\, and activities devoted to d ownstream applications and services development (e.g. in Pompeii\, Capo Co lonna) (Virelli et al.\, 2020)\; \n• Promoting downstream by scientific\ , commercial and institutional users through the new programme “Innovati on for Downstream Preparation” (I4DP)\, wherein safeguard of environment \, cultural heritage and national landscape is among the key application d omains. \nThe present paper therefore will illustrate ASI’s contribution for cultural heritage\, alongside the current perspectives\, in light of the COSMO-SkyMed programme (upstream) and “Multi-mission and Multi-Frequ ency SAR” and I4DP programmes (downstream)\, the latter with particular focus on the initiative dedicated to scientific users (I4DP_SCIENCE) accor ding to the roadmap defined by Tapete & Coletta (2022). \n \nReferences \n Luo L.\, Wang X.\, Guo H.\, Lasaponara R.\, Zong X.\, Masini N.\, Wang G.\ , Shi P.\, Khatteli H.\, Chen F. et al. (2019) Airborne and spaceborne rem ote sensing for archaeological and cultural heritage applications: A revie w of the century (1907–2017). Remote Sens. Environ.\, 232\, 111280. doi: 10.1016/j.rse.2019.111280 \nTapete D.\, Cigna F. (2017) Trends and perspe ctives of space-borne SAR remote sensing for archaeological landscape and cultural heritage applications. J. Archaeol. Sci. Reports\, 14\, 716–726 . doi: 10.1016/j.jasrep.2016.07.017 \nTapete D.\, Cigna F. (2019a) Detecti on of Archaeological Looting from Space: Methods\, Achievements and Challe nges. Remote Sens.\, 11\, 2389. doi: 10.3390/rs11202389 \nTapete D.\, Cign a\, F. (2019b) COSMO-SkyMed SAR for detection and monitoring of archaeolog ical\nand cultural heritage sites. Remote Sens.\, 11\, 1326. doi: 10.3390/ rs11111326 \nTapete D.\, Cigna F. (2020) Poorly known 2018 floods in Bosra UNESCO site and Sergiopolis in Syria\nunveiled from space using Sentinel- 1/2 and COSMO-SkyMed. Sci. Rep.\, 10\, 12307. doi: 10.1038/s41598-020-6918 1-x \nTapete D.\, Coletta A. (2022) ASI’s roadmap towards scientific dow nstream applications of satellite\ndata\, EGU General Assembly 2022\, Vien na\, Austria\, 23–27 May 2022\, EGU22-5643. doi: 10.5194/egusphere-egu22 -5643\, 2022. \nVirelli et al. (2020) COSMO-SkyMed: uno strumento satellit are per il monitoraggio dei beni culturali. In: Monitoraggio e Manutenzion e delle Aree Archeologiche. Cambiamenti climatici\, dissesto idrogeologico \, degrado chimico-ambientale / Atti del Convegno Internazionale di Studi\ , Roma\, Curia Iulia\, 20-21 Marzo 2019 / Alfonsina Russo e Irma Della Gio vampaola - (a cura di) - «L’ERMA» di BRETSCHNEIDER\, 2020 - (Collana B ibliotheca Archaeologica\, 65) 278 p.\; ill.\, pp. 103112. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Satellite technologies for Cultural Heritage: state of the art\, pe rspectives and Italian Space Agency contribution - Maria Virelli\, Deodato Tapete URL:https://talks.osgeo.org/foss4g-it-2023/talk/K8E7AQ/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-FSMFXW@talks.osgeo.org DTSTART;TZID=GMT:20230613T100000 DTEND;TZID=GMT:20230613T101500 DESCRIPTION:The advent of satellite technologies has made it possible to ma ke georeferenced observations of the entire globe at periodic intervals of a few days and with high spatial resolutions.\nESA's Copernicus mission m akes available open-source data from the Sentinel-2 constellation created to provide useful information for agricultural purposes thanks to appropri ately calibrated multispectral images [2].\nThe NDVI (Normalized Vegetatio n Index) [1] can be correlated with some biophysical or agronomic variable s of the vineyard [3].\nThe work presents the results of a two-year work c arried out in the province of Turin in the Piedmont region\, that involved six vineyards cultivated with different varieties (Nebbiolo\, Erbaluce) a nd two vine training system (pergola and espalier). The NDVI georeferenced data were provided by the EOS Crop Monitoring web platform.\nThe experime ntal design divided the vineyards in three classes of vigor areas\, define d through a pre-survey operated by comparing the series of georeferenced N DVI images collected the summer before.\nIn the different vineyards for ea ch of the chosen vigor areas\, five plants were identified and used as a g round reference to evaluate a series of vegetative-productive parameters. The total amount of plants monitored were 30 for Nebbiolo and 55 for Erbal uce.\nAll NDVI index showed significant predictability for the studied var iables.\nAs expected\, the trend of the quantitative variables was positiv ely related to the NDVI while the qualitative variables were negatively re lated. As far as the percentage mean error was concerned a high predictabi lity\, (error 1÷7% respectively for Erbaluce and Nebbiolo vineyards). Con sidering the canopy architecture\, the leaf layers were accurately predict ed from the NDVI (R2 0\,72 and 0\,55 respectively for Erbaluce and Nebbiol o) with an error around 10%. Regarding the fruit compartment a strong diff erence emerged between the systems. The shaded cluster percentage in the N ebbiolo vines was highly predictable with (R2 0\,57\, error 6%). In Erbalu ce the error was higher (36%) with a correlation index R2 of 0\,42. This f act derives from the higher variability of the plants in the compared plot s. The number of clusters were predicted with a minor error in Nebbiolo th an in Erbaluce (9% and 29%\, R2 0\,70 and 0\,16 respectively) and for the bud fertility (8% and 15%\, R2 0\,83 and 0\,36 respectively). In sum\, the true productive traits appeared as the less predictable in the Erbaluce v ineyards\, with 31% error in yield (R2 0\,26) compared to a less erroneous prediction (error 22% and R2 0\,63) in Nebbiolo vines. The pruning wood weight was similarly predicted from the NDVI with 21 and 23% error\, with a correlation index R2 of 0\,41 and 0\,28 for Erbaluce and Nebbiolo respec tively.\nThe PCA analysis\, allowed discriminating observations based on v igor attributes and consistently with the measured variables\, even when a ll the observations\, for the different varietal combinations\, are proces sed simultaneously with the same multivariate model. \nThe study confirmed the possibility to use Sentinel-2 NDVI output to map the vineyards variab ility also in small plots (< 1 ha)\, estimating the vineyard canopy densit y\, the productive and wine most important technological parameters. \n\n\ n\n[1] Giovos\, R.\, Tassopoulos\, D.\, Kalivas\, D.\, Lougkos\, N.\, & Pr iovolou\, A. (2021). Remote sensing vegetation indices in viticulture: A c ritical review. Agriculture\, 11(5)\, 457.\n[2] Sarvia\, F.\, De Petris\, S.\, Orusa\, T.\, & Borgogno-Mondino\, E. (2021). MAIA S2 versus sentinel 2: spectral issues and their effects in the precision farming context. In Computational Science and Its Applications–ICCSA 2021: 21st Internationa l Conference\, Cagliari\, Italy\, September 13–16\, 2021\, Proceedings\, Part VII 21 (pp. 63-77). \n[3] Vélez\, S.\, Rançon\, F.\, Barajas\, E.\ , Brunel\, G.\, Rubio\, J. A.\, & Tisseyre\, B. (2022). Potential of funct ional analysis applied to Sentinel-2 time-series to assess relevant agrono mic parameters at the within-field level in viticulture. Computers and Ele ctronics in Agriculture\, 194\, 106726. DTSTAMP:20260609T143015Z LOCATION:Sala Biblioteca @ PoliBa SUMMARY:Monitoring Erbaluce and Nebbiolo vineyards by means of Sentinel-2 N DVI index maps - Enrico Borgogno-Mondino\, Alberto Cugnetto\, Giorgio Maso ero\, Peppino Sarasso URL:https://talks.osgeo.org/foss4g-it-2023/talk/FSMFXW/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-8BSK8T@talks.osgeo.org DTSTART;TZID=GMT:20230613T111500 DTEND;TZID=GMT:20230613T113500 DESCRIPTION:ESA Plenary Session IRIDE the Italian Earth Observation System funded by PNRR DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:IRIDE session: Overview on the program and on the overall System: t he Constellations\, the Downstream Segment\, the Service Segment - URL:https://talks.osgeo.org/foss4g-it-2023/talk/8BSK8T/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-HBXHUF@talks.osgeo.org DTSTART;TZID=GMT:20230613T113500 DTEND;TZID=GMT:20230613T115500 DESCRIPTION:ESA Plenary Session IRIDE the Italian Earth Observation System funded by PNRR DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:IRIDE session: Introduction to IRIDE Precursor Service Portfolio wi thin the Service Segment implementation workplan - URL:https://talks.osgeo.org/foss4g-it-2023/talk/HBXHUF/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-G38JEW@talks.osgeo.org DTSTART;TZID=GMT:20230613T115500 DTEND;TZID=GMT:20230613T121500 DESCRIPTION:ESA Plenary Session IRIDE the Italian Earth Observation System funded by PNRR DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:IRIDE session: The IRIDE Precursor Service Portfolio operational at the end of 2023 - URL:https://talks.osgeo.org/foss4g-it-2023/talk/G38JEW/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-MM89FM@talks.osgeo.org DTSTART;TZID=GMT:20230613T121500 DTEND;TZID=GMT:20230613T130000 DESCRIPTION:ESA Plenary Session IRIDE the Italian Earth Observation System funded by PNRR DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:IRIDE session: Institutional User requirements for the development of EO National Systems - URL:https://talks.osgeo.org/foss4g-it-2023/talk/MM89FM/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-VKBM9Q@talks.osgeo.org DTSTART;TZID=GMT:20230613T143000 DTEND;TZID=GMT:20230613T163000 DESCRIPTION:Nel presente workshop si illustreranno le modalità di ortorett ificazione in ambiente QGIS grazie alle librerie OTB. Le immagini satelli tari ad alta risoluzione devono essere sottoposte a un processo di orotret tifica geometrica per poter essere utilizzate a fini metrici. Infatti per poterle utilizzare correttamente e confrontarle con rilievi e mappe preced enti\, è necessario trattarle geometricamente per eliminare le distorsion i introdotte dal processo di acquisizione. Si ricorda che le immagini che arrivano dai gestori dei satelliti non sono propriamente orotrettificate m a\, al massimo hanno subito un primo processo di orientamento. L’ ortore ttifica\, infatti\, non è una semplice georeferenziazione perché il proc esso deve tenere conto della geometria tridimensionale di acquisizione del sensore. Per questo motivo l'ortorettifica deve essere eseguita all'inter no di specifici software commerciali con costi e tempi aggiuntivi rispetto all'acquisizione delle immagini. Questa operazione\, chiamata orientament o\, può essere effettuata utilizzando vari modelli matematici come quelli rigorosi\, quelli basati su funzioni polinomiali razionali (RPF) e su a c oefficiente polinomiali razionali anche definiti da alcuni autori\, a coef ficiente di posizionamento rapido (RPC).La procedura prevista dalla librer ia OTB in QGIS in originale ha alcune limitazioni tra cui\, ad esempio l'i mpossibilità di inserire le quote sui Ground control point che risulta un a grossa limitazione per una ortorettificazione corretta. Inoltre le inter facce non sono sempre user friendly. Nel corso del Workshop verranno però mostrate alcune procedure per limitare l'effetto di queste limitazioni pe rmettendo di sfruttare appieno le caratteristiche ottico geometriche di im magini ad alta ed altissima risoluzione geometrica come Quickbird. Dopo un a breve introduzione la procedura verrà esposta passo passo così che i d iscenti potranno riprodurla autonomamente DTSTAMP:20260609T143015Z LOCATION:Aula 1 @ UniBa SUMMARY:Ortorettificare immagini satellitari con software open: OTB in QGIS - Valerio Baiocchi URL:https://talks.osgeo.org/foss4g-it-2023/talk/VKBM9Q/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-3JY9P3@talks.osgeo.org DTSTART;TZID=GMT:20230613T143000 DTEND;TZID=GMT:20230613T144500 DESCRIPTION:Multi-temporal SAR interferometry (MTInSAR)\, by providing both mean displacement maps and displacement time series over coherent objects on the Earth’s surface\, allows analysing wide areas\, identifying grou nd displacements\, and studying the phenomenon evolution on long time scal es. This technique has also been proven to be very useful for detecting an d monitoring instabilities affecting both terrain slopes and man-made obje cts. In this contest\, an automatic and reliable characterization of MTInS AR displacements trends is of particular relevance as pivotal for the dete ction of warning signals related to pre-failure of natural and artificial structures. Warning signals are typically characterised by high rates and non-linear kinematics. The Sentinel-1 (S1) C-band mission from the Europea n Space Agency (ESA) as well as the high-resolution X-band COSMO-SkyMed (C SK) constellations from Italian Space Agency\, both shorten the revisit ti mes up to a few days\, thus being very promising for detecting non-linear displacement trends related to warning signals. However\, a detailed analy sis of MTInSAR displacement products looking for specific trends\, is ofte n hindered by the large number of coherent targets (up to millions) to be inspected by expert users to recognize different signal components and als o possible artifacts\, such as\, for instance\, those related to phase unw rapping errors. \n\nThis work concerns the development of methods able to fully exploit the content of MTInSAR products\, by automatically identifyi ng relevant changes in displacement time series and to classify the target s on the ground according to their kinematic regime. We introduced a new s tatistical test based on the Fisher distribution with the aim of evaluatin g the reliability of a parametric displacement model fit with a determined statistical confidence. We also proposed a new set of rules based on the statistical characterization of displacement time series\, which allows di fferent polynomial approximations for MTInSAR time series to be ranked. Th e method was applied to model warning signals. Moreover\, in order to meas ure the degree of regularity of a given time series\, an innovative index was introduced based on the fuzzy entropy\, which basically evaluates the gain in information by comparing signal segments of different lengths. Thi s fuzzy entropy index\, without postulating any a priori model\, allows hi ghlighting time series which show interesting trends\, including strong no n linearities\, jumps related to phase unwrapping errors\, and the so-call ed partially coherent scatterers. These procedures were used for analysing MTInSAR products derived by processing both S1 and CSK datasets acquired over Southern Italian Apennine (Basilicata region)\, in an area where seve ral landslides occurred in the recent past. Both approaches were very effe ctive in supporting the analysis of ground displacements provided by MTInS AR\, since they helped focusing on a smaller set of coherent targets ident ifying areas or structures on the ground which deserved further detailed g eotechnical investigations. Moreover\, the joint exploitation of MTInSAR d atasets acquired at different wavelengths\, resolutions\, and revisit time s provided valuable insights\, with CSK more effective over man-made struc tures\, and S1 over outcrops.\n\nSpecifically\, the work presents an examp le of slope pre-failure monitoring on Pomarico landslide\, an example of s lope post-failure monitoring on Montescaglioso landslide\, and few example s of structures (such as buildings and roads) affected by instability rela ted to different causes. Our analysis performed on CSK MTInSAR products o ver Pomarico was able to capture the building deformations preceding the l andslide and the collapse. This allows the understanding of the phenomenon evolution\, highlighting a change in velocities that occurred two years b efore the collapse. This variation probably influenced the dynamics of the landslide leading to the collapse of an area considered to be at a medium -risk level by the regional landslide risk map. Results from the analysis performed on S1 MTInSAR products were instead useful to identify post-fail ure signals within the Montescaglioso landslide body. The selected trends confirm the stability of the landslide area with some local displacements due to restoration works. In this case\, the value of the MTInSAR displace ment time series analysis emerges in the assessment phase of post-landslid e stability\, resulting in a useful support tool in the planning of safety measures in landslide areas. \n\n**Acknowledgments** - This work was supp orted in part by the Italian Ministry of Education\, University and Resear ch\, D.D. 2261 del 6.9.2018\, Programma Operativo Nazionale Ricerca e Inno vazione (PON R&I) 2014–2020 under Project OT4CLIMA\; and in part by ASI under the Project “CRIOSAR: Applicazioni SAR multifrequenza alla criosfe ra”\, grant agreement N. 2021-12-U.0. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Analysis of DInSAR Displacement time series for monitoring slope in stability - Davide Oscar Nitti\, Fabio Bovenga\, Raffaele Nutricato\, Albe rto Refice\, Ilenia Argentiero\, Guido Pasquariello\, Giuseppe Spilotro URL:https://talks.osgeo.org/foss4g-it-2023/talk/3JY9P3/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-WGCXK3@talks.osgeo.org DTSTART;TZID=GMT:20230613T144500 DTEND;TZID=GMT:20230613T150000 DESCRIPTION:The increasing availability of synthetic aperture radar (SAR) s atellite imagery has opened up new opportunities for operational support t o predictive maintenance and emergency response. The first step in any eme rgency response is to assess the extent and the impact of the damage cause d by the disaster. First responders need to recognize and to collect usefu l\ninformation to mount their rescue operation effectively and quickly. Th ere is indeed a strong link between timely rescue operations and the perce ntage of survived victims from natural disasters. \nTherefore\, it is extr emely important to ensure effective deployment of rescue teams as soon as possible by means of the optimization of resources\, accurate information on how to access and to settle in the affected areas\, and the definition of operational priorities. To further optimize the activity on the field\, it is possible to use the potential of SAR satellite analysis.\nToday\, s everal satellite SAR missions are available\, characterized by different t echnical features in terms of wavelengths\, and temporal and geometric res olutions\nThe COSMO-SkyMed constellation initially consisted of four ident ical satellites\, each equipped with high-resolution microwave SAR operati ng in the X-band and positioned in a sun-synchronous orbit ~620 km above t he Earth's surface. Subsequently\, the four First Generation satellites we re joined by two further Second Generation COSMO-SkyMed satellites\, also based on identical satellites equipped with X-band SAR payloads and positi oned on the same orbital plane as the First Generation satellites. Current ly 5 COSMO-SkyMed satellites are operational\, 3 of the first generation a nd 2 of the second generation. 2 more will be launched in the coming years .\nIn 2018\, the Italian Space Agency (ASI) and the Italian National Fire and Rescue Service (CNVVF) signed an agreement to approve the collaboratio n between the two State Administrations. The aims of the Agreement are lin ked to the use of technologies that use satellite data to support urgent t echnical rescue\, a fundamental mission of firefighters.\nUnder the agreem ent\, in the event of medium and large-scale emergencies\, ASI makes radar -type satellite products available to the CNVVF. Through the use of these data we want to facilitate an initial assessment of the affected area\, a few hours after the event\, with the delimitation of the most critical are as\, in order to optimize the operational response. Thanks to the COSMO-Sk yMed products made available by ASI\, are developed by the cartographic o ffice of the National Corps (the TAS Central Service) products in order to support the territorial VVF offices in the planning phase and monitoring of interventions.\nWith the aim of investigating the performance of SAR im ages characterized by different geometric resolutions for the detection an d mapping of post-earthquake damages\, three SAR image datasets (Sentinel- 1\, COSMO-SkyMed Spotlight and COSMO-SkyMed StripMap) were analyzed availa ble in Norcia (Central Italy) in the areas that were severely affected by the strong seismic sequence in 2016. We compared pairs of images with equi valent characteristics collected before and after the principal seismic ev ent on October 30\, 2016 (at 06:00:40\, UTC). The results were compared wi th each other and then measured against the results of the post-earthquake field surveys for damage assessment\, carried out by the CNVVF. Thanks to the interesting and opportunity to have COSMO-SkyMed Spotlight images bef ore the event\, we have determined that the nominal geometric resolutions 1x1-m can provide a very detailed damage mapping of a single building\, wh ile the COSMO-SkyMed StripMap HIMAGE at 3x3 resolutions they give relative ly good detections of damaged buildings. As reliable given the different s patial resolution of the Interferometric Wide Swath mode\, the Sentinel-1 images did not allow acquiring information on individual buildings\, but s imply provided approximate identifications of the most severely damaged se ctors. The main results of the performance investigation that have been ca rried out in this work can be exploited considering the exponential growth of the satellite market in terms of revisit time and image resolution.\n\ nMazzanti P.\, Scancella S.\, Virelli M.\, Frittelli S.\, Nocente V.\, Lom bardo F\, Assessing the performance of multi-resolution satellite SAR. ima ges for post-earthquake damages detection and mapping. Remote Sensing of E nvironment. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Assessment of the use of SAR satellite images for detection and map ping of post-earthquake damages\, for purposes of emergency response manag ement - Maria Virelli\, Valentina Nocente\, Federico Lombardo\, Stefano Fr ittelli URL:https://talks.osgeo.org/foss4g-it-2023/talk/WGCXK3/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-XNGZC7@talks.osgeo.org DTSTART;TZID=GMT:20230613T150000 DTEND;TZID=GMT:20230613T151500 DESCRIPTION:Monitoring critical infrastructures and structures (energy and transportation) is one of the application domains of national relevance fo r which satellite technologies may be exploited to improve detection of ca usative factors of deterioration\, mapping of sectors at risk\, and priori tization of structural and maintenance works.\nAlthough ground-based non-d estructive testing (NDT) methods have been successfully applied for decade s\, reaching very high standards for data quality and accuracy\, Synthetic Aperture Radar (SAR) satellite technology and interferometric techniques (InSAR) have proved to be a real “game changer”. The impact on infrast ructure monitoring was particularly significant\, also in light of the inc reased flow of SAR data collected in different radar bands and disseminate d by space agencies in these past years.\nASI’s COSMO-SkyMed constellati on operating in X-band is among the satellite assets that are mostly explo ited by scientific and commercial community to perform high precision and accuracy monitoring\, at high spatial and temporal resolution. Recent stud ies undertaken by ASI following “data exploitation” initiatives of COS MO-SkyMed data have highlighted an increasing use of these data to study a nd monitor bridges\, motorways\, railways\, pipelines and plants. Scientif ic proof of concepts and demonstrators have led to strengthening national and international expertise in the use of InSAR multi-temporal techniques\ , and paved the way for downstream applications and mature monitoring serv ices.\nAt the same time\, the global scale availability of C-band Sentinel -1 data has contributed to a further dissemination of InSAR techniques for infrastructure monitoring\, although the specialist literature has highli ghted the limitations due to spatial resolution\, as well as the need to c ombine different band SAR data collected at different resolution.\nFrom 20 21 to 2023\, through the “Multi-mission and Multi-Frequency SAR” Progr am (Tapete et al.\, 2022)\, ASI has supported R&D projects focusing on dat a fusion and post-processing techniques in the field of infrastructure def ormation monitoring. Benefits achievable through integration of multi-band SAR data (including L-band SAOCOM) have been demonstrated.\nIn light of t hese investments and the maturity of SAR data processing algorithms for ge neration of application products\, ASI continues their institutional missi on according to the following activities:\n• In the upstream sector of s atellite missions\, improving SAR sensors to achieve new observation capab ilities with COSMO-SkyMed Second Generation (CSG) satellites and facilitat ing the accessibility to long time series ensuring observation continuity\ ;\n• In the downstream sector of applications and services development\, promoting SAR data exploitation\, also in combination with navigation and telecommunications technologies\, through the new programme “Innovation for Downstream Preparation” (I4DP)\, wherein management and monitoring of structural stability of critical infrastructures is among the applicati on domains of recent funding and projects initiation.\nThe present paper t herefore will illustrate ASI’s contribution on this application domain\, alongside the current perspectives\, in light of the COSMO-SkyMed program me (upstream) and “Multi-mission and Multi-Frequency SAR” and I4DP pro grammes (downstream)\, the latter with particular focus on the initiative dedicated to scientific users (I4DP_SCIENCE).\n\nReferences\nTapete et al. (2022) ASI's “Multi-mission and Multi-Frequency SAR” Program for Algo rithms Development and SAR Data Integration Towards Scientific Downstream Applications. IGARSS 2022\, pp. 4498-4501\, doi: 10.1109/IGARSS46834.2022. 9884937. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Satellite technologies for infrastructures: state of the art\, pers pectives and Italian Space Agency contribution - Maria Virelli\, Deodato T apete URL:https://talks.osgeo.org/foss4g-it-2023/talk/XNGZC7/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-Y7F39P@talks.osgeo.org DTSTART;TZID=GMT:20230613T151500 DTEND;TZID=GMT:20230613T153000 DESCRIPTION:Inspection and maintenance of structures and infrastructures ar e\, nowadays\, hot topics. Extreme weather events and ageing stock\, mainl y\, deteriorate the network infrastructure. Their structural performance s hould be checked periodically\, but this is not always possible\, both bec ause of the difficulty to practically carry it out and because\, sometimes \, insufficient funds are allocated to infrastructure management. In most of the western countries\, a highly percentage of bridges\, roads\, viaduc ts were built between the 1950s and the 1970s\, so the detection plays a f undamental role for their proper functioning. Traditionally\, instruments such as levels and total stations have been used to perform high accuracy Structural Health Monitoring (SHM). These can provide highly reliable real -time data on structural condition but\, both because of economic reasons and of the difficult-to-access areas\, not all the structures and infrastr ucture can be monitored with traditional techniques. Remote sensing can pr ovide numerous advantages for structures and infrastructures monitoring\, because the information can be extracted “from distance” with high rel iability and relatively low costs. A comprehensive review on the remote se nsing techniques used for structure and infrastructure monitoring is prese nted in this paper\, focusing the attention especially on satellite remote sensing and UAV photogrammetry techniques. Nowadays\, SAR (Synthetic Aper ture Radar) and optical images are widely used for the aforementioned purp ose. From one side\, the PSIn-SAR (Permanent Scatterer SAR Interferometry) has been exploited to extract information on ground and infrastructure mo vements\; on the other side\, optical images allowed to understand the cha nges occurred in areas of interest by performing a change detection analys is with different algorithms. UAV photogrammetry outputs have been used fo r more detailed surveys on specific structures or infrastructures\, both t o metrically model the objects and\, consequently\, to detect the degradat ion phenomena. The main results and consideration obtained by the state of art are discussed and compared and the main advantages and limitations ar e\, finally\, outlined in order to provide general achievements within thi s field. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Remote Sensing for structure and infrastructure monitoring: a revie w. - Alicandro Maria\, Sara Zollini\, Donatella Dominici\, Nicole Pascucci URL:https://talks.osgeo.org/foss4g-it-2023/talk/Y7F39P/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-ZBULVA@talks.osgeo.org DTSTART;TZID=GMT:20230613T153000 DTEND;TZID=GMT:20230613T154500 DESCRIPTION:The geological processes that occur several kilometers below th e earth's surface\, such as displacement along a seismogenic fault\, press ure variation in magma reservoirs and landslides\, in many cases cause def ormations of the earth's surface that can be measured with geodetic method s and remote sensing techniques\, such as differential SAR interferometry (DInSAR). DInSAR is a consolidated microwave remote sensing technique whic h\, by exploiting two satellite images acquired at different times\, makes it possible to estimate the surface deformations that occurred between th e two acquisitions with centimeter precision. DInSAR systems are able to r evisit the same area at regular intervals\, providing very high spatial re solution information of the observed scene. For example\, ESA ERS 1/2 and Envisat satellites\, active since 1992\, have a revisit time of 35 days\, the sensors of the Italian COSMO-SkyMed constellation\, have a revisit tim e of 8 days\, and finally this time was reduced to 6 days for the "Sentine ls" of the European Copernicus programme. These measurements are indicated by a series of colored bands\, the so-called fringes or interferograms. T he electromagnetic waves used are characterized by an alternation of crest s spaced a few cm apart. By "counting" these crests\, the radar is able to figure out how far the object being observed has moved\; if the object is hundreds of kilometers away\, moving only a few centimeters\, the number of crests that characterize the electromagnetic waves will change\, allowi ng the displacement to be accurately detected and measured with centimeter accuracy.\nInterferometric techniques produce not only surface deformatio n maps measured along the sensor's line of sight\; indeed\, by exploiting a series of images acquired over time\, it is possible to follow the tempo ral evolution of the deformation. This information can be particularly val uable\, for example\, for measuring ground deformation in volcanic areas\, as this parameter can be a precursor to the resumption of eruptive activi ty or the increase of the unrest phenomena. If we consider that the first satellites (ERS-1) used for this purpose have been collecting data since 1 992\, the history of deformation of a volcano over the last 30 years can b e analyzed in previously unimaginable detail.\nThe main results obtained i n recent years in various geological contexts will be presented. For examp le in the volcanic context\, using the DInSAR technique and benefiting fro m the availability of long-term SAR archives\, it was possible to detect a nd monitor the evolution of the surface deformation of the Campania volcan oes (Campi Flegrei\, Vesuvio and Ischia) and\, with geophysical inversion\ , identify and analyze the deep sources responsible for the observed defor mation. In the context of hydrogeological instability\, by way of example\ , we will present a study conducted on the Ivanchic landslide in Umbria ch aracterized by a relatively slow movement\, which starting from satellite data and with geological\, geotechnical and geophysical knowledge\, has al lowed us to characterize the geometry and the detachment surface of the la ndslide. Finally\, some examples of applications of these techniques to id entify deformations of infrastructures\, such as buildings\, dams\, viaduc ts\, will be illustrated in the urban context. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:The use of satellite data for the knowledge of the territory: geolo gical applications - Giuseppe Solaro\, Andrea Barone\, Raffaele Castaldo\, Vincenzo De Novellis\, Antonio Pepe\, Susi Pepe\, Pietro Tizzani URL:https://talks.osgeo.org/foss4g-it-2023/talk/ZBULVA/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-NT3JZG@talks.osgeo.org DTSTART;TZID=GMT:20230613T154500 DTEND;TZID=GMT:20230613T160000 DESCRIPTION:Ground instability can cause severe damage to infrastructure an d the environment. Falling rocks can destroy roads\, pipes\, and buildings and even endanger citizens. In recent years\, a continuous increase in th e intensity and frequency of ground stability phenomena has been observed\ , with a clear relationship to human activity and climate change.\nAdvance d technological solutions for monitoring and forecasting instability offer the opportunity to prevent disasters by monitoring ground movement phenom ena to detect potential hazards in time.\nRheticus Safeland is the wide-ar ea continuous monitoring service designed to enable agencies to effectivel y collect\, visualize and monitor land instability for better management a nd planning of soil protection activities.\nThe Rheticus Safeland service is used in various sectors\, from utilities to road infrastructures to Pub lic Administrations\, which\, thanks to this product\, can observe vast ar eas such as Regions or Districts.\nRheticus Safeland's in-depth analysis c omprehensively traces any ground movement and slope instability in the are a of interest. This timely information provides valuable assistance in pla nning campaigns to prevent and mitigate land instability risks.\nIn Italy\ , the Geological Service of the Friuli Venezia Giulia Region monitors and prevents risks from hydrogeological instability phenomena\, using informat ion from Rheticus Safeland.\nThe mountainous areas of the Friuli Venezia G iulia region are particularly susceptible to geological hazards\, includin g landslides and sinkholes. They are prone to slope instability and sites of geological weakness\, such as fault zones\, shear zones\, and weak rock or mineral strata. The region\, therefore\, needed\, on the one hand\, a solution to continuously collect\, visualize and analyze data on unstable areas. On the other hand\, it needed to monitor ground movement affecting buildings and roads to protect citizens from danger and avoid increased co sts and delays in new developments.\nTo help the Friuli Venezia Giulia Reg ion\, Planetek developed Rheticus® Safeland\, a vertical geoinformation s ervice that continuously tracks ground movements via satellite radar inter ferometry. Satellite radar data are a reliable source of information. They are ideal for this task because they are readily available\, continuously updated\, and allow users to identify trends in ground movements with pin point accuracy.\n\nRheticus Safeland has enabled the Geological Survey to collect and provide detailed information for buildings and transport infra structure\, allowing engineers\, planners\, and other users to analyze gro und movement phenomena over time with great accuracy. The comprehensive pi cture provided by the Rheticus Safeland service gives planners the knowled ge to prioritize risk mitigation measures\, make better decisions and proa ctively avoid critical issues that arise when ongoing phenomena are not fu lly understood.\nThe Rheticus service platform was awarded the World Smart City Award because it made satellite information accessible to everyone. Users do not need any knowledge or experience with satellite radar data\, interferometry\, or GIS applications. Interpreting this data usually requi res considerable technical expertise\, and the results can be difficult fo r non-experts to understand.\n\nRheticus Safeland has solved this problem by simplifying the complex information gathered from the analysis of radar data. Clear studies and an intuitive dashboard interface combine maps\, r eports\, and dynamic geo-analysis into one intelligent application that pr ovides valuable information.\nComplex\, multi-source data is automatically processed by the platform\, so users can focus on what they do best: obse rving\, tracking\, and managing the territory to ensure the safety of peop le and assets. With Rheticus Safeland\, these users get an accurate and co mplete territory overview with timely updates and dynamic analysis. After implementation\, the Geological Survey of the Autonomous Region of Friuli Venezia Giulia significantly reduced the time and costs associated with tr aditional land image collection and ongoing software development. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Satellite Intelligence for proactive monitoring of the territory: t he Rheticus Safeland service - Giuseppe Forenza\, Alessandra Bleve URL:https://talks.osgeo.org/foss4g-it-2023/talk/NT3JZG/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-RPMZZ7@talks.osgeo.org DTSTART;TZID=GMT:20230613T163000 DTEND;TZID=GMT:20230613T183000 DESCRIPTION:Sottotitolo:\nil migliore\, e più usato editor di dati OpenStr eetMap\, da zero ad un utilizzo intermedio.\nJOSM\, editor in Java\, è po tente\, veloce\, apre file gpx\, csv\, geoJSON\, ShapeFile\, geoTIFF\, fot o georiferite\, è flessibile coi suoi numerosi plugin\, ... e altro ancor a.\n\nPartiremo da zero\, e dopo i concetti base per disegnare nuovi ogget ti o modificare gli esistenti\, vedremo alcune funzionalità un pò più a vanzate.\n\n\nRequisiti richiesti:\n\n- avere un account OpenStreetMap htt ps://www.openstreetmap.org/user/new\n- un computer ed un mouse vero con la rotellina (non dispositivi di puntamento dei portatili)\n- aver installat o Java Runtime https://wiki.openstreetmap.org/wiki/IT:JOSM/Installazione ( sezione Installazione di Java)\n- possibilmente\, avere JOSM installato ht tps://wiki.openstreetmap.org/wiki/IT:JOSM/Installazione\n\n\nIl laboratori o nel dettaglio:\n\n- Installazione di JOSM e prima configurazione\n- Desc rizione delle barre degli strumenti e dei pannelli laterali\n- Caricare al cuni dati da OSM\n- Comandi base: disegna\, modifica\, taglia\, unisci\, c ancella\n- Disegnare nuovi oggetti e modificare geometrie esistenti\n- App lichiamo i giusti attributi (i tag)\n- Carichiamo le modifiche su OSM\n- A nalizziamo il changeset (il set di dati appena caricati)\n- Apriamo file G PX con note vocali\n- Immagini di sfondo: utilizziamo quelle esistenti o a ggiungiamo nuovi servizi WMS/TMS. Correggere scostamenti delle immagini.\n - Entriamo nella configurazione: abilitare il "telecomando" (controllo rem oto)\, installiamo alcuni plugin\, abilitiamo modalità per esperti\n- Bre ve sessione di editing su una zona che conoscete personalmente\n- Altre fu nzionalità\n- Domande & risposte DTSTAMP:20260609T143015Z LOCATION:Aula 1 @ UniBa SUMMARY:l'editor JOSM - livello base/medio - Alessandro Palmas URL:https://talks.osgeo.org/foss4g-it-2023/talk/RPMZZ7/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-7N8VLH@talks.osgeo.org DTSTART;TZID=GMT:20230613T164500 DTEND;TZID=GMT:20230613T170000 DESCRIPTION:Crop traits monitoring is a fundamental step for controlling cr op productivity in the context of precision agriculture and field phenotyp ing. At present\, the usage of hyperspectral data in machine learning regr ession algorithms (MLRAs) has attracted increasing attention to alleviate the challenges associated with traditional crop trait measurements. Howeve r\, the performance assessment of such hyperspectral-based MLRA models for crop trait retrievals with respect to the well-known natural variations i n either structural or biochemical crop properties remains largely elusive . As such\, this experiment was set up to assess whether full-range hypers pectral data\, acquired by a handheld spectrometer (Spectral Evolution\; 3 50 – 2500 nm)\, as inputs to partial least squares regression (PLSR) and random forest (RF) models are capable of modeling different wheat crop tr aits at the canopy level. The examined crop traits were leaf area index (L AI)\, canopy water content (CWC)\, canopy chlorophyll content (CCC)\, and canopy nitrogen content (CNC). This approach allowed us\, as an overarchin g objective\, to compare the performance of the two aforementioned MLRA mo dels while also focusing on the physical interpretation of the modelling r esults for each particular crop trait. \nOverall\, PLSR provided remarkabl y higher accuracy\, tested with a cross-validation strategy\, as compared to RF for all the crop traits. More precisely\, PLSR denoted R2 (resp. nRM SE%) values of 0.72 (11.97)\, 0.77 (10.89)\, 0.70 (14.61)\, and 0.74 (14.3 8) for LAI\, CWC\, CCC\, and CNC\, respectively. All PLSR models indicated robust prediction capability with RPD values greater than 1.4\, and among st them\, CWC was found to have excellent prediction performance with an R PD higher than 2. However\, RF yielded less predictive models with R2 (res p. nRMSE%) values of 0.59 (14.59)\, 0.42 (17.42)\, 0.50 (18.86)\, and 0.42 (21.41) for LAI\, CWC\, CCC\, and CNC\, respectively. RF models for LAI a nd CCC showed good prediction capabilities (RPD > 1.4)\, whilst RF models of neither CWC nor CNC were reliable (RPD < 1.4). \nIn general\, RF band i mportance and PLSR regression coefficient results revealed physically- mea ningful and consistent patterns for each specific crop trait. Specific wav elengths at SWIR (1716-1745 nm) and NIR (1057-1120 nm)\, Green\, and the R ed-Edge bands respectively showed the highest importance for LAI retrieval . Water absorption regions around 910 nm and 1200 nm as well as the Red-Ed ge and Visible parts were of higher importance for the retrieval of CWC. T he best-performing bands were situated in Red-Edge and Green spectral chan nels for CCC retrieval. SWIR spectral regions between 1600-1800 nm and 210 0-2300 nm appeared to be important (in particular with respect to the othe r traits) alongside the Red-Edge part of the spectrum to retrieve CNC. \ nWe demonstrated that full-range hyperspectral data in combination with ML RA algorithms can provide accurate estimates of wheat crop traits at the c anopy level. The success of utilizing hyperspectral data in MLRA algorithm s was further highlighted by the physically-meaningful modelling performan ces in accordance with the subtle structural and biochemical crop properti es. Our results suggest that such spectroscopic hyperspectral-based MLRA a pproaches could be a powerful tool to accurately monitor crop status throu ghout the cropping season to improve high-throughput phenotyping activitie s and to further aid precision agricultural practices. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Investigating PLSR and RF for retrieving wheat crop traits in a fie ld phenotyping experiment using full-range hyperspectral data: performance assessment and modelling interpretation - Ramin Heidarian Dehkordi\, Mirc o Boschetti\, Gabriele Candiani\, Federico Carotenuto\, Carla Cesaraccio\, Andrea Genangeli\, Beniamino Gioli\, Donato Cillis\, Marina_Ranghetti URL:https://talks.osgeo.org/foss4g-it-2023/talk/7N8VLH/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-Y93Z9C@talks.osgeo.org DTSTART;TZID=GMT:20230613T164500 DTEND;TZID=GMT:20230613T170000 DESCRIPTION:Surface Soil Moisture (SSM) is an essential climate variable th at links the atmospheric and surface processes\, controlling the exchange of water\, partitioning the available energy at the ground surface and bio chemical process. SSM plays also a crucial role in controlling hydro-geolo gical hazards\, like rainfall-triggered landslides.\nSSM can be monitored using various methods: ground-based measurements\, proximal methods\, or a ir-borne/ space-borne remote sensing. Traditional methods are mainly groun d-based measurements through contact sensors\; they provide accurate but s ingle-point measurements and require manual placement and intensive mainte nance\, especially in large-scale studies. Because SSM is a heterogeneous variable in terms of space and time\, data acquisition with traditional si ngle-point measurement methods is very limited\, especially at large scale .\nAdvances in satellite Remote Sensing (RS) bring the possibility of cont inuous land surface observation and characterization over time. In additio n to the geometric condition\, and optical and mineral properties of the e arth surface\, SSM is one of the influential factors that control the radi ation emitted from the earth’s surface. All parts of the electromagnetic (EM) spectrum that are normally used for earth observation can be used fo r quantitative SSM extraction. Considering the potential of penetration de pth of the EM wavelength\, RS methods can be classified into three categor ies: thermal\, microwave\, and optical RS. Thermal RS can be used individu ally or in combination of vegetation indices\, like the Crop Water Stress Index (CWSI). The acquisition of thermal data has high costs\, and\, in ad dition\, the differentiation between soil temperature and tree canopy temp erature is not easily achieved. Most globally available SSM products are d erived from microwave RS\, due to the ability of microwave radiation to pe netrate cloud cover\, but they are highly sensitive to surface roughness a nd have coarse spatial resolution\, making them inefficient for studies at small scale. Optical RS in the visible\, near-infrared\, and shortwave in frared ranges measures the reflected radiation from the earth surface\, wh ich can be related as a function of soil moisture to provide very high spa tial resolution data. \nIn the present study\, the potential of multispect ral satellite images acquired by Sentinel-2 (S-2) for SSM extraction is in vestigated. For this purpose\, a yearly dataset of hourly SSM measurements \, acquired at four different depths (-10cm\, -35cm\, -55cm\, -85cm) from a monitoring network in Mendatica (Liguria\, Italy) from 1st of July 2020 to 30th of June 2021\, was used to look for correlation with S-2 images. D ata acquired by the sensors were previously calibrated\, taking into accou nt the soil-specific characteristics of the areas (Bovolenta et al.\, 2020 )\, and the reliability of the dataset was verified. After performing the required preprocessing on satellite images\, the correlation coefficients between each band of S-2 images and ground-based measurements were calcula ted. The results represent the potential of each band or a combination of them to estimate SSM from RS through linear estimators. DTSTAMP:20260609T143015Z LOCATION:Sala Biblioteca @ PoliBa SUMMARY:Investigating the Correlation between Sentinel-2 Multispectral Imag es and Ground-Based Field Measurements of Soil Moisture (Case Study: Menda tica\, Liguria\, Italy) - Alessandro Iacopino\, Gachpaz Saba\, Giorgio Bon i\, Gabriele Moser\, Bianca Federici URL:https://talks.osgeo.org/foss4g-it-2023/talk/Y93Z9C/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-DT7LLU@talks.osgeo.org DTSTART;TZID=GMT:20230613T170000 DTEND;TZID=GMT:20230613T171500 DESCRIPTION:In the past\, the scarcity of hyperspectral Earth Observation ( EO) data hindered the development of operational applications based on suc h technology. Considering the current increasing availability of this kind of data (e.g.\, PRISMA\, EnMap)\, that it is expected to further grow in the future (e.g.\, Copernicus CHIME\, PRISMA Second Generation)\, it is im portant to evaluate the potential retained by hyperspectral remote sensing for EO applications that could provide operational services in the next f ew years. Within this context\, this work was conceived to perform a preli minary investigation of the capabilities of the PRISMA hyperspectral senso r for burned area (BA) mapping in an operational context (e.g.\, civil pro tection applications).\n \nOne of the most common approaches used for BA m apping via EO data is based on the Differenced Normalized Burn Ratio (dNBR ) index\, which detects the fire-induces alterations to vegetation and soi ls by taking advantage of the spectral information acquired in the Near In fraRed (NIR: 0.7-1.2 µm) and Short-Wave InfraRed (SWIR: 1.2-2.5 µm) band s of two images: one acquired before the fire event\, one after [1]. Multi spectral imagery commonly used for performing BA mapping for operational a pplications (e.g.\, Sentinel 2\, Landsat) have specific NIR and SWIR bands that can be used for dNBR computation [2]. Hyperspectral images\, instead \, allow for several bands combinations of data acquired in the NIR and SW IR spectral regions\, thereby generating numerous (and\, in some cases\, s lightly) different definitions of dNBR maps. Amongst these bands’ combin ations\, the more reliable ones shall be identified (i.e.\, the ones capab le of producing BA maps more accurate). At the same time – since the dNB R is also sensible to non-fire induced spectral alterations [1] – the le ss reliable ones shall be avoided.\n\nThe aim of this study was to set up an experiment in which it was prototyped an automatic methodology of opera tional BA mapping based on PRISMA Level2D products (i.e.\, orthorectified\ , surface reflectance imagery\; GSD: 30 m). The wildfire that occurred in Pantelleria Island (Italy) on 17/08/2022 was used as a case study. For thi s event\, there were available two PRISMA images acquired on 06/08/2022 (p re-event) and 16/07/2022 (post-event). An ancillary shapefile produced by the Copernicus Emergency Management Service (EMS) and representing the ext ent of the BA on 19/08/2022 (ca. 28 ha) was used as a reference layer to v alidate the analysis results. \n\nThe methodology that was set up – conc eptually similar to the one developed by [2] – produced more than 7600 d NBR maps (obtained from the combinations of the PRISMA NIR and SWIR spectr al bands)\, from which the pixels corresponding to the BA were mapped by u sing the Otsu approach for automatic threshold selection. The analysis was carried out over the whole Pantelleria Island territory\, where water bod ies\, clouds and clouds’ shadows were masked out (as well as poor qualit y PRISMA bands). Then\, the accuracy of the classification was quantified (as a percentage) by means of the Dice Coefficient (DC) [3]\, which was ca lculated by using the Copernicus EMS reference BA layer. According to the DC\, the best bands combination for mapping the BA of the Pantelleria 2022 wildfire corresponds to the 0.903 (NIR) and 2.253 µm (SWIR) wavelengths. The DC associated with this BA map was 89.4%.\n\nIn an operational contex t\, ancillary information (i.e.\, BA reference layers) are often not avail able to identify the most reliable bands for BA mapping. Therefore\, an im age-based selection criterion useful to achieve this objective shall be us ed. Indeed\, for every NIR/SWIR bands combination used during the analysis \, the spectral separability [3] of the pixels classified as BA – from t he neighbouring ones classified as not BA – was computed. Then\, the ban ds combination characterized by the highest separability value was used fo r identifying the best dNBR map to use for BA mapping. For this specific e xercise\, this combination corresponds to the 1.038 µm (NIR) and 2.245 µ m (SWIR) wavelengths. The DC associated with this BA map was 88.8%. This v alue is very similar to the one identified via the ancillary reference BA layer.\n\nThe details of the methodology will be presented at the conferen ce\, where the analysis results will be also thoroughly discussed.\n\nRefe rences:\n\n[1] van Gerrevink M.J. & Veraverbeke S. (2021). Evaluating the Hyperspectral Sensitivity of the Differenced Normalized Burn Ratio for Ass essing Fire Severity. Remote Sensing. 13(22):4611.\n\n[2] Pulvirenti L. et al. (2023). Near real-time generation of a country-level burned area data base for Italy from Sentinel-2 data and active fire detections. Remote Sen sing Applications: Society and Environment. 29.\n\n[3] Roteta E. et al. (2 019). Development of a Sentinel‐2 burned area algorithm: Generation of a small fire database for sub‐Saharan Africa. Remote Sensing of Environme nt. 222\, 1–17. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:A Preliminary Investigation of the PRISMA Hyperspectral Sensor Pote ntial for Burned Area Mapping in an Operational Context - Luca Cenci\, Luc a Pulvirenti\, Giuseppe Squicciarino URL:https://talks.osgeo.org/foss4g-it-2023/talk/DT7LLU/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-FCQMZP@talks.osgeo.org DTSTART;TZID=GMT:20230613T170000 DTEND;TZID=GMT:20230613T171500 DESCRIPTION:Starting from 1962 the Common Agricultural Policy (CAP) has sup ported through contributions the agricultural sector aiming at preserving the environment and improving crops production. The local Paying Agencies (PA) verify the correctness\, completeness and compliance of farmers appli cations by administrative checks (ACs) and on-the-spot checks (OTSCs). ACs are performed on 100% of applications to automatically detect formal faul ts through informatics tools. OTSCs are performed on about the 5% of appli cations testing the compliance with envisaged commitments and obligations\ , verify eligibility criteria and checking the truthfulness of declared ar ea size. Recently\, the article 10 of the recent EU regulation (N. 1173/20 22)\, defined new controls based on remote sensing\, specifically by adopt ing Copernicus Sentinel-2 (S2) imagery\, or “other data” at least equi valent value. The adoption of S2 imagery allows to monitor all areas decla red by farmers’ applications longing for irregularities detection. Conse quently\, this type of control can be applied to all CAPs (no longer 5%) a pplications in each member state. In this framework\, the new CAP 2023-202 7\, requires a gradual implementation of such remote-sensing based tools w ithin member states control systems\, becoming compulsory in 2024. Further more\, the 2023-2027 CAP will introduce some new types of contributions ca lled 'eco-schemes' related to the climate\, environment and animal welfare . Nevertheless\, a proper review of how remote sensing-based tools can be applied to these new contributions is missing. Therefore\, in this work we preliminary explore which marker can be detected by Copernicus S2 data in terms of field surface\, agronomic practices and monitor period\, possibl y related to a specific CAP contribution requirement. Focuses will concern : (a) basic payment\; (b) eco-schemes\; (c) enhanced conditionality. DTSTAMP:20260609T143015Z LOCATION:Sala Biblioteca @ PoliBa SUMMARY:Remote sensing and Sentinel-2 data role within the Common Agricultu ral Policy 2023-2027 - Enrico Borgogno-Mondino\, Alessandro Farbo\, Filipp o Sarvia\, Samuele De Petris\, Elena Xausa\, Gianluca Cantamessa URL:https://talks.osgeo.org/foss4g-it-2023/talk/FCQMZP/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-8HU3SP@talks.osgeo.org DTSTART;TZID=GMT:20230613T171500 DTEND;TZID=GMT:20230613T173000 DESCRIPTION:Non-photosynthetic vegetation (NPV) detection and quantificatio n represent a key variable in remote sensing of conservative agriculture\, and\, more recently\, in carbon farming due to its important role in wate r\, nutrient and carbon cycling. For this reason\, both mapping and charac terization of NPV represent a relevant topic in the exploitation of Earth Observation (EO) data for agriculture monitoring.\nStudies on NPV mapping by EO data benefit from the availability of hyperspectral data due to the high spectral resolution particularly at wavelengths from 1.6 to 2.3m\, where the spectral features of carbon-based constituents of plants are di stinctive. The launch of new generation hyperspectral satellites\, as PRIS MA (PRecursore IperSpettrale della Missione Applicativa) and\, more recent ly\, EnMAP (Environmental Mapping and Analysis Program) offers research op portunities in the field\, which before was mainly investigated by proxima l and aerial sensing.\nEarly studies already proved the potential of PRISM A in NPV due to the prominence of the cellulose-lignin key absorption feat ure at 2.1m. More recent studies on PRISMA make use of machine learning regression algorithm (MLRA) trained on the basis of radiative transfer mo del simulations\, or on the basis of Exponential Gaussian Optimization (EG O) of specific absorption features on sensed data.\nThis second approach\, proposed in this study\, is aimed at the determination of Crop Residue Co ver (CRC) using PRISMA hyperspectral imagery by a two-step approach making use of: i) firstly\, an Exponential Gaussian Optimization to model pre-se lected absorption features\, also reducing the spectral dimension\; ii) se condly\, a Random Forest paradigm\, performing non-linear regression to fi nally predict and map CRC.\nThis study exploits for the training phase an extensive and well documented spectral library\, namely “Reflectance spe ctra of agricultural field conditions supporting remote sensing evaluation of non-photosynthetic vegetation cover” made available online by USGS ( https://doi.org/10.5066/P9XK3867). It consists of 916 in situ surface refl ectance spectra collected using a proximal full range spectroradiometer (3 50 to 2500 nm). Spectra are annotated with the corresponding fractions of NPV\, Soil and (if any) Green Vegetation\, as estimated by point sampling digital photograph of the radiometer field-of-view. \nThis spectral librar y was resampled to PRISMA spectral resolution\, prior to the Gaussian Expo nential Optimization (EGO) on 4 spectral intervals of interest\, already t ested in previous studies\, and corresponding to absorption bands of: cell ulose-lignin\, plant pigments\, vegetation water content and clays.\nThe E GO algorithm optimizes continuum-removed spectra by 4 parameters - absorpt ion band depth\, center\, width and asymmetry – and since this is perfor med for each spectral interval\, it results in 16 parameters. This is a re duced space as compared to the one of the input spectra (around 230 bands) . This parameter space was used to train a Random Forest to model the regr ession between Crop Residue Cover percentage and EGO parameters\, achievin g a determination coefficient around 0.8 (RPD ˜2.1\; MSE ˜ 0.02) on the test set. \nThe RF model was firstly validated against an independent spec tral library of around 100 spectra\, collected during a proximal sensing s urvey with a portable full range spectroradiometer\, conducted in a large farm test site (3800ha) located in Jolanda di Savoia (Italy). Also in this case\, spectra are annotated with Crop Residue Cover percentages\, and re sampled to PRISMA spectral resolution. The model performance on this datas et is in agreement with the test on the USGS spectral library. \nFinally\, the regression model was applied to a PRISMA image \, acquired on the Jol anda di Savoia farm (June 21st 2021)\, for CRC mapping. The resulting map was validated against field observations: the CRC map show values and patt erns in good agreement with ground data confirming encouraging prediction capabilities of the model \nIn conclusion\, the proposed classification ap proach\, trained on a spectral library is predictive\, as proved on an ind ependent spectral data set and on the PRISMA image. Further work will enco mpass testing the robustness of the model by collecting field ground data of Crop Residue Cover at the PRISMA scale\; monitoring CRC dynamics on PRI SMA time series\; and\, the use of Radiative Transfer Model simulations to enlarge the training set\, accounting also for different factors controll ing reflectance (e.g. soil moisture). DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Spectroscopic Determination of Crop Residue Cover using Exponential -Gaussian Optimization of absorption features and Random Forest - Ramin He idarian Dehkordi\, Monica Pepe\, katayoun Fakherifard URL:https://talks.osgeo.org/foss4g-it-2023/talk/8HU3SP/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-V9QAJW@talks.osgeo.org DTSTART;TZID=GMT:20230613T171500 DTEND;TZID=GMT:20230613T173000 DESCRIPTION:Sustainable agriculture is one of the main focus of the 2023 – 2027 Common Agricultural Policy (CAP). For this reason\, the new CAP s trategic plan presents greater ambitions on climate and environment action in comparison of the previous programming period and stronger incentives that promote climate- and environment-friendly farming practices (i.e. min imizing soil disturbance\, organic and carbon farming\, maintaining perman ent ground cover and adopting combined rotations) are provided. Among the several options\, avoiding bare soil conditions and consequently promoting cover crops\, or even to cultivate two main crops in a year\, can provide excellent benefits. In particular\, soil erosion and nitrate percolation are limited and soil structure\, fertility\, organic carbon sequestration and adaptability to climate change are supported. Consequently\, an estima tion of how much cultivated area is currently managed in this way should b e estimated. Within the farmer CAP application\, single (i.e. winter or su mmer) and a double crop could be included even if more crops can indeed be cultivated afterwards. Accordingly\, the scope of this research is to des ign and validate an approach to classify and map the fields where a crop c over maintenance is promoted rather than the single crop based on Copernic us Sentinel-2 (S2) data. The study area is located in Austria\, where a re presentative sample of the main crop types cultivated in the region was de rived from the declarations to the Integrated Administration and Control S ystem (IACS) for the year 2021. The approach relies on the classification of reflectance data from S2 time series including nine vegetation indices that were used to identify single or double crop systems. For this purpose \, two supervised classifiers were applied namely One-Class Support Vector Machine (OneClassSVM) and Random Forest (RF). Statistical measures such a s Overall Accuracy and Cohen's kappa coefficient were derived from the con fusion matrices and the differences between field data and mapping results were analysed. A new map showing single vs double-crop systems was genera ted for further spatial analysis and interpretation. DTSTAMP:20260609T143015Z LOCATION:Sala Biblioteca @ PoliBa SUMMARY:Double Crop Mapping using Sentinel-2 Data in Support to Implementat ion and Monitoring of the 2023-2027 Common Agricultural Policy within Rura l Development Interventions - Enrico Borgogno-Mondino\, Filippo Sarvia\, E mma Izquierdo\, Francesco Vuolo URL:https://talks.osgeo.org/foss4g-it-2023/talk/V9QAJW/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-RGUEZE@talks.osgeo.org DTSTART;TZID=GMT:20230613T173000 DTEND;TZID=GMT:20230613T174500 DESCRIPTION:Here we show some preliminary results of the hyperspectral inve stigation on a paleohydrological environment\, using ASI PRISMA data (Capo russo et al.\, 2020)\, with the scope of subsequently comparing them with similar environments on Mars (Zinzi et al.\, 2023). \nThe datasets investi gated are located in the Gobi Desert. The first areas were selected on the basis of the availability of mineralogical data on rocks revealing a comp osition of quartz\, albite\, phyllosilicates and sporadic calcite by means of X-ray diffraction (Sekine et al.\, 2020). \nKeeping into account that quartz and albite do not show strong unambiguous diagnostic absorption fea tures in the PRISMA spectral range\, we aim at investigating whether their occurrence can be deduced from the reflectance values and the whole spect rum.\nOn the contrary\, phyllosilicates were found in PRISMA data\, in par ticular\, their occurrences seem to be attested by the absorption associat ed to Al-OH bond around 2.19 micrometers in the structure of illite\, smec tite\, kaolinite. \nUp to now\, we did not observe carbonate-related absor ptions in the investigated ROIs. This can be due to neglectable abundance of carbonates at the scale of PRISMA\, but this hypothesis needs further i nsights.\nHowever\, the study will include another possible delta in the G obi area probably characterized by basaltic composition (Mason et al.\, 20 21 and references therein) and therefore more similar to Jezero delta mine ralogy. \nWe will proceed in the identification and mapping of minerals in these areas\, in the view of comparison of water related environments on Earth and Mars.\n\nReferences \n\nCaporusso et al.\, 2020. IEEE IGARSS 202 0 Proceedings. 3282–3285. \nZinzi et al.\, 2023. Abstract XVIII Congress o Scienze Planetarie\, Perugia.\nSekine et al.\, 2020. Minerals\, 10(9):79 2. \nMason et al.\, 2021\, abs#1664\, 52nd Lunar and Planetary Science Con ference. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Exploiting PRISMA hyperspectral data for planetary science: remote characterization of paleo-hydrologic environments on the Earth and Mars. - Paola Manzari\, Veronica Camplone\, Angelo Zinzi\, Eleonora Ammannito\, G iuseppe Sindoni\, Francesco Zucca\, Gianluca Polenta URL:https://talks.osgeo.org/foss4g-it-2023/talk/RGUEZE/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-UBQPWP@talks.osgeo.org DTSTART;TZID=GMT:20230613T173000 DTEND;TZID=GMT:20230613T174500 DESCRIPTION:Foliar NIR Spectroscopy and EOS platform for monitoring polyphe nolic maturity in Nebbiolo\n\nA. Cugnetto1\, M. Altare2\, G. Masoero 1\,3\ , S. Guidoni 3\,1.\n\n1 Accademia di Agricoltura di Torino (TO)\n2 Az. Vit ivinicola Costa di Bussia\, Monforte (CN)\n3 Dipartimento Scienze Agrarie\ , Forestali e Alimentari\, Università di Torino (TO)\n\nA Nebbiolo vineya rd was divided into three vigor zones (High\, Medium\, Low) according to t he NDVI index survey supplied by EOS Crop Monitoring web platform. In fou r sessions\, leaf samples were collected on which petiolar pH [1] and the NIR spectrum were determined using the SCiOTM v 1.2 apparatus (740-1070 nm \, 331 reflectance points). From samples of 10 berries the seeds were clea ned and scanned by NIRS obtaining 99 spectra. The polyphenolic maturity of the seeds was expressed based on the Non-Extractable Polyphenols / Extrac table Polyphenols (PSM) ratio\, analyzed according to the Di Stefano metho d [2]. The value was estimated by a WinISI-II PLS equation recalculated on published data [3] which has a predictive value of R2 = 0.70 and RMSE err or = 8%. From the NIR spectra of 164 leaves a SPAD value was estimated (by unpublished equation) and the PSM of the seeds was regressed on the 16 co mposition parameters [4]. The most important variables that explain the mo del\, were those related to the bromatological composition of the vegetal wall (Cellulose\, ADL\, digestible-NDF\, non-digestible-NDF\, Total digest ibility). The fitting of the 10 vines vigor group gave an R2 = 0.88 (Mean RMSE 12%). The petiolar pH did not show significant relations with the see ds PSM. The direct calibration of the NIR spectrum on the seeds PSM made with the WinISI\, revealed an R2 = 0.84 (MRMSE 5%\, with an outlier group )\, while using the PLSR of LabSCiO we obtained R2=0.73 (MRMSE 6% with an outlier group).\nThis part of the work demonstrates that a proximal scruti ny of the NIR spectrum of Nebbiolo leaves allow an estimation of the matur ity of the seed polyphenols provided that the result is consolidated with the mean of at least 15 replicate measurements.\nOnce the individual calcu lations were examined\, the group averages were processed by performing a linear regression of the PSM on the averages of the available variables ex tracted from the NIR spectra\, and on the NDVI measurements taken from th e Sentinel-2 satellite. The examined variables had different importance an d the SPAD (R2=0.49) had the maximum one. The NDVI from satellite had fitt ed to the seeds PSM with R2 = 0.34\; it was under the forecast accuracy pr ovided by the leaves spectra set\, but is worthy of attention for the simp licity of use. The obtained linear equation was PSM = 5.71 + 2.42 * NDVI. \n\nThe work demonstrates that with the modern Satellite remote sensing te chnologies\, it is possible to improve the grape sampling during the matur ation period\, better identifying the internal plot variability\, that is related to different seed ripening levels. The leaf NIR spectra detected at ground level with SCIOTM v 1.2\, is a rapid proximal method for estimat ing the Nebbiolo seed ripening\, directly in the farm\n\n\n\n1 Masoero G\, Cugnetto A. 2018 The raw pH in plants: a multifaceted parameter. Journal of Agronomy Research\, 1: (2)\, 18-34. ISSN: 2639-3166. DOI10.14302/issn.2 639-3166.jar-18-2397. https://openaccesspub.org/jar/article/871\n2 Di Stef ano R\, Cravero MC. 1991 Metodi per lo studio dei polifenoli nell'uva. Riv . Vitic. Enol\, 2\, 37-45.\n3 Cugnetto A\, Masoero G. (2021) Colored anti- hail nets modify the ripening parameters of Nebbiolo (Vitis vinifera L.) a nd a smart NIRS can predict the polyphenol features. JAR 4 (1)\, 24-45. ht tps://openaccesspub.org/jar/article/1701\n4 Peiretti P G\, Masoero G and T assone S 2017: Comparison of the nutritive value and fatty acid profile of the green pruning residues of six grapevine (Vitis vinifera L.) cultivars . Livestock Research for Rural Development. Volume 29\, Article #194.Retri eved October 3\, 2017\, http://www.lrrd.org/lrrd29/10/pier29194.html DTSTAMP:20260609T143015Z LOCATION:Sala Biblioteca @ PoliBa SUMMARY:Monitoring the seeds phenolic maturity in Nebbiolo vineyard by mean s of NDVI index vs foliar NIR spectroscopy - Alberto Cugnetto\, Matteo Alt are\, Giorgio Masoero\, Silvia Guidoni URL:https://talks.osgeo.org/foss4g-it-2023/talk/UBQPWP/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-YW3UAK@talks.osgeo.org DTSTART;TZID=GMT:20230613T174500 DTEND;TZID=GMT:20230613T180000 DESCRIPTION:PRISMA Operational Activity Description\nF. Nirchio1\, N. Lomba rdi1\, G. Viavattene1\, A. Cenci2\, P. Tempesta2\, V. Ferri2\, L. Agrimano 3\, D. Iacovone4\, I. Corradino5\, L. Chiarantini6\, F. Sarti6\n1 Agenzia Spaziale Italiana (ASI)\, Contrada Terlecchia\, 75100\, Matera (MT)\n2 Tel espazio S.p.A.\, Via Tiburtina 965\, 00156\, Roma (RM)\n3 Planetek Italia s.r.l.\, Via Massaua 12\, 70132\, Bari (BA)\n4 e-GEOS S.p.A.\, Contrada Te rlecchia\, 75100\, Matera (MT)\n5 OHB Italia S.p.A.\, Via Gallarate\, 150 \, 20151\, Milano (MI)\n6 Leonardo SpA\, Via delle Officine Galileo\, 1\, 50013 Campi Bisenzio\, Firenze (FI)\n\nObjective of the presentation is to give an inside look into PRISMA operational activities\, firstly summariz ing the Missions functionality and subsequently describing the main activi ties that are carried on by the operational team\, finally some statistica l data on the mission are provided. \nPRISMA (PRecursore IperSpettrale del la Missione Applicativa) is a medium-resolution hyperspectral (HYP) and hi gh-resolution panchromatic (PAN) imaging satellite fully funded by ASI and realized by Italian Industries Consortium led by OHB Italia\, Leonardo an d Telespazio. Launched on March 2019\, PRISMA is devoted to the push-broom imaging of land\, vegetation\, waters and coastal zones for a planned ope rative period of 5 years. \nThe HYP module has a spatial resolution of 30 m\, a spectral resolution of 12 nm and operates in the VNIR (400-1010 nm) and in the SWIR (920-2505 nm) with a swath width of 30 km. The PAN module has a spatial resolution up to 5 m and operates in the visible spectral ra nge of 400-700 nm. The Sun Synchronous Orbit at 615 km of altitude and the orbital period of 97 minutes allow a repeat cycle of 29 days. \nIt is ope rational since February 2020. The mission is composed\, along with the spa ce segment\, also by User Ground segment\, located in ASI Matera Space Cen tre and the Mission Control Centre\, located in Telespazio Fucino Space Ce ntre. \nTo ensure the Mission performances some routine operations are per formed. First of all the maintenance of the orbit and of the track. It is assured by the Space Control Centre and the Flight Dynamic System (FDS). T hose functions are also involved any time a collision avoidance manoeuvre is requested. Satellite pointing accuracy\, products geolocation and radio metric accuracy are regularly check over selected ground sites. \nIn orde r to evaluate the PRISMA health status all the telemetry data are regularl y collected and evaluated by the mission specialists and every four months by a dedicated mission board. \nDuring Prisma operational life any time a non-conformance (NC) behaviour is detected or a component failure is che cked a Non-Conformity Report (NCR) form is issued. A trouble shooting acti vity starts involving the Support Engineering Team (SET) which examine any component of the system suspected to be involved in order to determine th e causes and implement all the corrective actions. The fixing activities a nd results are evaluated by a Non-conformance Review Board (NRB). \nAny re gistered user can place its orders on the PRISMA web portal both for new a cquisitions and for processing the archive data in order to receive a desi red product from the archived images. The user can obtain Level 1 products \, corresponding to the Top Of Atmosphere (TOA) radiometrically and geomet rically calibrated HYP and PAN radiance images\, or Level 2 products corre sponding to Bottom Of Atmosphere (BOA) geolocated (L2B\, L2C) and geocoded (L2D) atmospherically corrected HYP and PAN images. In case of need\, the user can receive support by help desk that can be contacted by e-mail. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:PRISMA Operational Activity Description - Francesco Nirchio\, N. Lo mbardi\, G. Viavattene\, A. Cenci\, P. Tempesta\, V. Ferri\, L. Agrimano\, D. Iacovone\, I. Corradino\, L. Chiarantini\, F. Sarti URL:https://talks.osgeo.org/foss4g-it-2023/talk/YW3UAK/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-8RRBKQ@talks.osgeo.org DTSTART;TZID=GMT:20230613T174500 DTEND;TZID=GMT:20230613T180000 DESCRIPTION:Monitoring and surveillance of plant pathogens and pests are es sential steps in integrated pest management. However\, conventional field monitoring of diseases and pests is time-consuming\, labor-intensive\, and generally not very effective. Remote sensing (RS) techniques could play a crucial role in large-scale monitoring of plant diseases and pests. Citru s Tristeza Virus (CTV) is the most important citrus virus globally. In 200 2\, two outbreaks of the virus were reported in the Apulia region\, Italy. \nTo examine the epidemic effects of the virus in the Apulia region\, a re mote sensing approach based on time series analysis was applied. Time seri es of the Normalized Difference Vegetation Index (NDVI) obtained from MODI S-Terra satellite and Sentinel-2 multispectral imagery were used to study fluctuations related to the infection in nine citrus fields monitored by M ODIS-Terra for a period of 21 years and in four citrus orchards observed w ith Sentinel-2 for a period of 5 years.\nPhonological parameters were extr acted from MODIS-Terra and Sentinel-2 NDVI by applying asymmetric curve fi tting methods. Subsequently\, their evolution was analyzed using linear re gression. The evaluated approach demonstrated high potential in monitoring infected citrus fields.\nMODIS-Terra\, with its medium spectral resolutio n\, allowed for the assessment of infection's temporal trend over a long p eriod and identifying long-term trends. Sentinel-2\, thanks to its high sp ectral resolution\, enabled the monitoring of small orchards and greater p recision in the spatial analysis of infected areas.\nStatistical analysis revealed a correlation between the incidence of infection and the trends o f seasonal parameters\, particularly the peak value\, seasonal amplitude\, and seasonal integral in the summer period. These results suggest that in tegrating MODIS-Terra and Sentinel-2 data could constitute an effective st rategy for monitoring and assessing the effects of CTV in the Apulia regio n. DTSTAMP:20260609T143015Z LOCATION:Sala Biblioteca @ PoliBa SUMMARY:Evaluation of the use of data from MODIS-Terra and Sentinel-2 to an alyze the epidemic impact of Citrus Tristeza Virus in infected areas of th e Apulia region - Stefania Gualano\, Hamza Mghari\, Antonio Novelli\, Anna Maria D’Onghia\, Biagio Di Terlizzi\, Franco Santoro URL:https://talks.osgeo.org/foss4g-it-2023/talk/8RRBKQ/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-8FQ99D@talks.osgeo.org DTSTART;TZID=GMT:20230613T180000 DTEND;TZID=GMT:20230613T181500 DESCRIPTION:This study provides an overview of main findings achieved by ex ploiting the hyperspectral products provided by PRISMA in the visible near infrared wavelength range (VNIR)\, for aquatic ecosystems mapping. To thi s aim\, the quality of PRISMA L2 products\, distributed by ASI and already atmospherically corrected\, is assessed on the basis of corresponding in- situ measurements at twenty inland and coastal water sites representing a wider range of optical properties of water. For a subset of sites\, where L2 products showed low accuracies\, the results provided by different atmo spheric correction codes (e.g.\, ACOLITE) are added. The results show that the PRISMA L2 products are sub-optimal for estimating water quality param eters\, apart from very turbid waters or clear-shallow waters\, while ACOL ITE would generally be more accurate in reproducing the spectral shape of in-situ hyperspectral data. A series of use cases are then presented to de monstrate the performances of a pre-defined series of algorithms (i.e. bio -optical modelling inversion\, band-ratios\, machine learning) for derivin g bio-physical parameters in optically complex waters from PRISMA. The re trieval of water quality parameters is performed for a variety of water ty pes corresponding to lakes of different trophic status\, coastal waters wi th significant depth profiles and ecosystems characterized by different hy drogeochemical and ecological processes. The presented use cases include t he simultaneous retrieval of phytoplankton pigments (e.g.\, concentration of chlorophyll-a and phycocyanin) total suspended matter with separation o f organic and inorganic fractions\, yellow substances\, the mapping of fra ctional cover of bottom types\, as well as of emergent macrophytes biomass . For some of these parameters the synergy of PRISMA with operational mult ispectral sensors (e.g.\, Sentinel-2) are presented\, while an outlook for advancing the estimation of water quality parameters with PRISMA is final ly discussed. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:PRISMA\, Launched Four Years Ago: Enabling Scientific Studies on Aq uatic Ecosystems - Claudia Giardino URL:https://talks.osgeo.org/foss4g-it-2023/talk/8FQ99D/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-8F3CAF@talks.osgeo.org DTSTART;TZID=GMT:20230613T180000 DTEND;TZID=GMT:20230613T181500 DESCRIPTION:Authors: Margherita De Peppo\, Francesco Nutini\, Alberto Crema \, Gabriele Candiani\, Giovanni Antonio Re\, Federico Sanna\, Carla Cesara ccio\, Beniamino Gioli\, Mirco Boschetti\n\nSpatio-temporal estimation of crop bio-parameters (BioPar) is required for agroecosystem management and monitoring. BioPar such as Canopy Chlorophyll Content (CCC) and Leaf Area Index (LAI) contribute to assess plant physiological status and health at leaf and canopy level. Remote sensing provides an effective way to spatial ly explicitly retrieve CCC and LAI at different spatial and temporal scale s. Several studies demonstrated how Machine Learning (ML) techniques outpe rform traditional empirical approaches based on Vegetation Index in BioPar estimations from RS data. Among the different available algorithms Gaussi an processes regression (GPR) is considered promising for LAI and CCC mapp ing. However\, few of these studies have examined the performance of GPR i n predicting crop parameters when applied to different site\, season and c rop typology (i.e. validation using independent dataset). The specific obj ectives of this study conducted in the framework of E-CROPS project were: (i) develop a transferable GPR algorithm for LAI and CCC estimation by exp loiting a robust multi-crop\, multi-year and site dataset\; (ii) assess GP R BioPar retrieval performance against ground measurements acquired over i ndependent dataset\; (iii) compare result with other methods including emp irically based VI models and operational product embedded in SNAP. In tota l\, 209 (CCC) and 301 (LAI) observations were used to train GPR models. Th en\, over the unseen dataset (LAI n=820 and CCC n=305) the GPR was validat ed. The results showed that for both LAI and CCC GPR retrieval are reliabl e and comparable with SNAP estimates despite CCC show a consistent underes timation. LAI (CCC) estimation metrics ranges for the different data sets as follows: R2 0.2 to 0.75 (0.2 -0.7) and MAE 0.1 to 0.75 (0.5-3). Overall the results demonstrated the potentiality of GPR machine learning approac h in LAI and CCC estimations when a robust training set is exploited\, suc h condition guarantee a spatial-temporal transferability of the developed model. GPR BioPar estimation from Sentinel 2 can produce decametric quasi- weekly quantitative information for crop spatio-temporal monitoring. Such maps are a fundamental input for decision support systems devoted to smart crop management and early warning indication. Many precision agriculture techniques could thus benefit from information generated with ideal qualit y and frequency for site-specific practices aimed at reducing inputs and i mproving the use-efficiency of fertilizers. DTSTAMP:20260609T143015Z LOCATION:Sala Biblioteca @ PoliBa SUMMARY:Assessing transferability of Gaussian Process Regression for Canopy Chlorophyll Content and Leaf Area Index estimation from Sentinel-2 data e xploiting a multi-site\, year and crop dataset - Mirco Boschetti\, Carla C esaraccio\, Beniamino Gioli URL:https://talks.osgeo.org/foss4g-it-2023/talk/8F3CAF/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-KQYSGX@talks.osgeo.org DTSTART;TZID=GMT:20230614T090000 DTEND;TZID=GMT:20230614T104500 DESCRIPTION:Intervengono alla Tavola Rotonda\nMaurizio Ambrosiano - Agenzia delle Entrate\nAntonio Rotundo - Agenzia Italia Digitale\nGabriele Masce tti - Agenzia Spaziale Italiana (da remoto)\nFrancesco Tocci - Istituto Id rografico Militare\nRiccardo Barzaghi - Membro della Giunta AUTeC\nRoberto Devoti - Istituto Nazionale di Geofisica e Vulcanologia\nAngelo Iorio - T ecne - Gruppo Autostrade per l'Italia\nUmberto Trivelloni - Coordinatore del Gruppo di Lavoro "Cartografia" presso Conferenza delle Regioni e Provi nce Autonome\n\n\n\nI contenuti scientifico disciplinari riguardano l'acqu isizione\, la restituzione\, l'analisi e la gestione di dati di natura met rica o tematica relativi alla superficie della Terra\, o a porzioni di ess a\, ivi compreso l'ambiente urbano\, le infrastrutture e il patrimonio arc hitettonico\, individuati dalla loro posizione spaziale e qualificati dall a precisione del rilevamento.\n\nLe discipline comprese nel settore sono l a geodesia (fisica\, geometrica e spaziale)\, la topografia\, la fotogramm etria (aerea e terrestre)\, la cartografia\, il telerilevamento (spaziale\ , aereo e terrestre)\, la navigazione (spaziale\, aerea\, marittima e terr estre) e i sistemi informativi territoriali.\n\nGli ambiti applicativi han no per oggetto\, in particolare\, lo studio dei sistemi di riferimento glo bali e locali\, gli strumenti e i metodi di rilevamento\, di controllo\, d i monitoraggio del territorio\, delle strutture e dei beni culturali\, il trattamento dei dati di misura\, la produzione e l'aggiornamento della car tografia\, dei DB topografici\, il tracciamento di opere ed infrastrutture \, i sistemi mobili di rilevamento i modelli numerici del terreno e delle superfici\, la gestione e la condivisione dell'informazione geografica mul tidimensionale e multi temporale. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Tavola Rotonda AUTeC DATI GEOSPAZIALI DALLA FORMAZIONE ALLA FRUIZIO NE - Donatella Dominici URL:https://talks.osgeo.org/foss4g-it-2023/talk/KQYSGX/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-7MYTWV@talks.osgeo.org DTSTART;TZID=GMT:20230614T090000 DTEND;TZID=GMT:20230614T130000 DESCRIPTION:In the era of the “space society”\, satellite services repr esent a key element that has to be valued and promoted by institutions at local and global level. Earth Observation (EO)\, Navigation (NAV) and Tel ecommunication (TLC) satellite services represent the space sectors with t he most relevant growth\, not only for the level of maturity\, quality and quantity of the existing operational infrastructures\, but mostly for the potential of wide diffusion for applications and connected services (know n as downstream). These applications and services are suitable to ensure a sustainable economic development\, fostering a significant progress in se veral domains and generating benefits for citizens and society. For this r eason\, they have been recognized as top strategic priorities of the Itali an space policies (Resolution of the President of the Council\, March 2019 ).\nConsidering that Italian Space Agency (ASI) is a governmental organiza tion having the responsability to promote space technology for the develop ment of the Country\, ASI has set up a programme called Innovation for Dow nstream Preparation (I4DP) further articulated in three intervention lines to better leverage on needs of that communities: Public Institutional ent ities\, Science and Commercial operators. The main focus of this initiativ e is s to stimulate the downstream sector growth\, offering a concrete sup port to set-up innovative and powefull space solutions for emerging deman d and\, at the same time\, consolidating and enriching existing national k now how both at scierntific and industrial level.\nThe implementation of t he programme is based on thematic periodic calls for each category of targ et users\, as mentioned above (PA i.e. Public Administrations\, SCIENCE i. e Scientific Community\, MARKET i.e. Economic Operators).\nThe first cycle of the programme has been initiated in 2021\, with the issue of 3 calls f ocused on the following topics: Effects of climate change and extreme even ts (I4DP_PA)\, Sustainable Cities (I4DP_SCIENCE)\, Management and monitori ng of Stability of Infrastructures and/or critical infrastructures also in relation to landscape conservation and Precision Farming for I4DP_MARKET. All the calls were successfully closed in 2022 with the selection of abou t 20 innovative projects.\nI4DP_PA aims to promote demonstrations and pre -operational developments of innovative complex services value chains resp onding to a well-defined institutional need (e.g. related to activities th at the involved PA has to perform by law) in order to prepare new generati on downstream services that can be useful to the institutions responsible for territorial governance\, civil protection and economic resources manag ement\, while promoting the full exploitation of national and European spa ce systems\, operational or under development. The final objective of the I4DP_PA calls is to promote an active involvement of Public Administration s\, as end users of the services and\, at the same time\, allow an acceler ation of scientific and technological developments\, as well as the experi mentation of new (pre-)operational procedures EO-based. This approach allo ws to highlight actual operational gaps and so can help the preparation an d the support respect to other national and European investments in infras tructures to better enable the realization of the services themselves. \nI 4DP_SCIENCE aims to promote the demonstrative development of innovative va lue-added services based on the use of EO\, SATNAV\, SATCOM systems in ord er to prepare new generation downstream services and promote the full use of national and European space systems\, operational or under development. \nI4DP_MARKET calls aim at supporting the development of innovative projec ts with a high starting TRL level\, in order to promote commercial exploit ation of services and products based on innovative data processing\, analy sis and integration techniques. This initiative is also aimed at guarantee a constant increase in the national technological capacity of the downstr eam sector\, allowing participation in the selection procedure of SMEs\, s tartups and university spin-off. In the long term\, these calls will conso lidate the Italian entrepreneurial texture in the exploitation of the serv ices and data provided by the current and future satellite infrastructures \, in synergy with the terrestrial ones.\n \nThe proposed workshop aims to provide a complete picture about the ASI’s ongoing I4DP activities and their future perspectives\, highlighting effects in support of the whole I talian communities along the whole space service value chain and of econom ic downstream sector\, providing a focus on selected projects in the frame work of the first cycle of the I4DP Programme. DTSTAMP:20260609T143015Z LOCATION:Aula 1 @ UniBa SUMMARY:THE DOWNSTREAM SECTOR IN ITALY: ASI’s ROLE and PROGRAMMES in th e NATIONAL ECOSYSTEM - Maria Libera Battagliere\, Luigi D'Amato\, Laura Ca ndela URL:https://talks.osgeo.org/foss4g-it-2023/talk/7MYTWV/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-9KRU9Q@talks.osgeo.org DTSTART;TZID=GMT:20230614T111500 DTEND;TZID=GMT:20230614T130000 DESCRIPTION:Intervengono:\nMattia Crespi - Dottorato Osservazione della Ter ra\nAndrea Taramelli - Copernicus Academy\nMaurizio Savoncelli - Consiglio Nazionale Geometri e Geometri Laureati (da remoto)\nValerio Baiocchi - Me mbro della Giunta AUTeC\nDomenico Sguerso - Società Italiana di Fotogramm etria e Topografia\nEnrico Borgogno Mondino - Associazione Italiana di Tel erilevamento\nPaolo Dabove - Associazione GFOSS.it APS\n\n\n\n\nI contenut i scientifico disciplinari riguardano l'acquisizione\, la restituzione\, l 'analisi e la gestione di dati di natura metrica o tematica relativi alla superficie della Terra\, o a porzioni di essa\, ivi compreso l'ambiente ur bano\, le infrastrutture e il patrimonio architettonico\, individuati dall a loro posizione spaziale e qualificati dalla precisione del rilevamento.\ n\nLe discipline comprese nel settore sono la geodesia (fisica\, geometric a e spaziale)\, la topografia\, la fotogrammetria (aerea e terrestre)\, la cartografia\, il telerilevamento (spaziale\, aereo e terrestre)\, la navi gazione (spaziale\, aerea\, marittima e terrestre) e i sistemi informativi territoriali.\n\nGli ambiti applicativi hanno per oggetto\, in particolar e\, lo studio dei sistemi di riferimento globali e locali\, gli strumenti e i metodi di rilevamento\, di controllo\, di monitoraggio del territorio\ , delle strutture e dei beni culturali\, il trattamento dei dati di misura \, la produzione e l'aggiornamento della cartografia\, dei DB topografici\ , il tracciamento di opere ed infrastrutture\, i sistemi mobili di rilevam ento i modelli numerici del terreno e delle superfici\, la gestione e la c ondivisione dell'informazione geografica multidimensionale e multi tempora le. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Sessione AUTEC DIDATTICA E RICERCA NELL’OSSERVAZIONE DELLA TERRA - Bianca Federici URL:https://talks.osgeo.org/foss4g-it-2023/talk/9KRU9Q/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-ES9G7A@talks.osgeo.org DTSTART;TZID=GMT:20230614T143000 DTEND;TZID=GMT:20230614T144500 DESCRIPTION:EO-Learning is the e-learning platform with free courses and re sources on Earth Observation launched by Planetek Italia in December 2021. A new opportunity for students and professionals in private and public en tities to learn and stay up to date on technologies\, methodologies and ap plications of satellite Earth Observation. \n\nEO-Learning offers courses in both English and Italian languages\, ranging from the very basics of re mote sensing up to the more complex techniques of satellite data processin g and derived applications.\nOnce enrolled for free in the platform\, user s can autonomously access open courses. \nThese are organized in several s hort lessons\, so that users can attend and complete the course at differe nt times\, or they can easily focus only on specific contents while ignori ng others. Lessons are also designed to be more suitable and engaging for nonexperts in the EO field: users can interact with objects\, browse the l esson or answer simple questions\, and lessons are narrated by professiona l speakers.\nIn addition to courses\, a friendly dashboard allows users to keep track of their progresses and to check their results. \n\nEO-Learnin g also offers Premium courses\, dedicated to public or private organizatio ns aiming to provide certified training courses for their members/employee . In fact\, these restricted-access courses are provided with more learnin g tools\, such as the tracking of progresses\, a series of intermediate an d final evaluation tests\, and the certification of course completion. \nP remium courses can also be tailored to user’s needs\, with the possibili ty to provide course reporting and dedicated scientific support through us er forums.\n\nEO-Learning can also host public or private custom courses\, designed and produced together with commercial and scientific partners an d dedicated to specific training activities/projects in the Earth Observat ion field. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:EO-Learning: Free online courses on Earth Observation - Francesca A lbanese URL:https://talks.osgeo.org/foss4g-it-2023/talk/ES9G7A/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-B8LEL9@talks.osgeo.org DTSTART;TZID=GMT:20230614T143000 DTEND;TZID=GMT:20230614T163000 DESCRIPTION:This workshop will be focused on teaching participants how to u se the latest version of the Rapid map editor for OpenStreetMap. Over the course of the workshop\, participants will gain valuable experience in map ping buildings\, roads\, and other critical geographic data that is releva nt to their work or interests.\n\nThe workshop will begin with an introduc tion to the Rapid's interface\, including the open data catalog\, validati on of AI data\, and use of important hotkeys. Participants will learn how to navigate the Rapid interface and access Rapid via Tasking Manager proje ct. After an introduction to Rapid and its connections to Tasking Manager projects\, participants will join a project focused on a local region in I taly. \n\nThe workshop will emphasize accurately mapping roads and buildin gs with correct OSM tags\, from highways to neighborhood roads\, apartment blocks to retail buildings\, and ensuring the AI or open data geometry an d tags are corrected as needed. The workshop features extensive hands-on e xperience\, allowing participants to work with the Rapid map editor tools on individual tasks\, with validation assistance from the workshop organiz er. \n\nBy the end of the workshop\, participants will have the confidence and expertise to use the new Rapid editor in their typical OpenStreetMap routines. They will be able to map buildings\, roads\, and other important data with precision and accuracy\, and understand the features offered by Rapid.\n\nThe workshop is ideal for anyone who works with open data\, edi ts OpenStreetMap\, has an interest in AI and machine learning datasets\, a nd who wants to help improve OpenStreetMap in areas with large amounts of missing data. No previous OpenStreetMap experience is required. It is reco mmended that participants bring a laptop computer\, or share with 1-2 othe r people to collaboratively edit. Participants should also register for an OpenStreetMap account at https://openstreetmap.org prior to the workshop. DTSTAMP:20260609T143015Z LOCATION:Aula 4 @ UniBa SUMMARY:Mappatura ad alta velocità: il nuovo editor di mappe Rapid - Chris topher Beddow URL:https://talks.osgeo.org/foss4g-it-2023/talk/B8LEL9/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-EHR9BQ@talks.osgeo.org DTSTART;TZID=GMT:20230614T143000 DTEND;TZID=GMT:20230614T144500 DESCRIPTION:Multi-temporal SAR Interferometry (MTInSAR) techniques allow de tecting and monitoring millimetric displacements occurring on selected poi nt targets that exhibit coherent radar backscattering properties over time . Successful applications to different geophysical phenomena have been alr eady demonstrated in literature. New application opportunities have emerge d in the last years thanks to the greater data availability offered by rec ent launches of radar satellites\, and the improved capabilities of the ne w space radar sensors in terms of both resolution and revisit time. Curren tly\, different space-borne Synthetic Aperture Radar (SAR) missions are op erational\, e.g. the Italian COSMO-SkyMed (CSK) constellation and the Cope rnicus Sentinel-1 (S1) mission. \n\nEach CSK satellite is equipped with an X-band SAR sensor that acquires data with high spatial resolution (3x3 m2 )\, thus leading to a very high spatial density of the measurable targets and allowing the monitoring of very local scale events. Thanks to the nati onwide acquisition plan “MapItaly”\, CSK constellation covers the Ital ian territory with a best effort revisit time of 16 days since 2010. \n\n\ nS1 mission is instead operational since 2014 and acquires in C-band at me dium resolution (5x20 m2) with a minimum revisit time of 12 days (only 6 d ays between 2016 and 2021\, when the full S1 constellation was operational )\, thus allowing to monitor ground instabilities back in time almost all over the Earth. Moreover\, all data acquired by the S1 mission are provide d on an open and free basis by the European Space Agency (ESA) and the Eur opean Commission (EC)\, for promoting full utilization of S1 data\, with t he aim of increasing the scientific research\, growing the EO markets and fostering the development of continuous monitoring services\, such as the European Ground Motion Service (EGMS) and the Rheticus® Displacement Geo- information Service. \n\nThe EGMS is based on the MTInSAR analysis of S1 r adar images at full resolution\, updated annually\, and provides consisten t and reliable information regarding natural and anthropogenic ground moti on over the Copernicus Participating States and across national borders.\n \nRheticus® offers monthly updates of the millimetric displacements of th e ground surface\, through the MTInSAR processing chain based on the SPINU A© algorithm (“Stable Point Interferometry even in Un-urbanized Areas ”). Rheticus® is capable to process SAR images acquired by different SA R missions\, including CSK and S1. Thanks to the technological maturity as well as to the wide availability of SAR data\, these ground motion servic es can be used to support systems devoted to environmental monitoring and risk management. This work shows the results obtained in the framework of the SeVaRA project (“Environmental Risk Assessment Service”)\, coordin ated by Omnitech srl. The goal of SeVaRA is to implement an innovative sys tem for calculating an aggregate environmental risk index\, derived from s everal parameters related to hydrogeological instability phenomena and/or Weather-related extreme events. In particular\, the present work is focuse d on the analysis of the “Deformation Sub-System”\, that has been desi gned for the computation of risk indices related to structural and ground instabilities (landslides). The first step consists in the Hazard Map comp utation\, which requires the following input data:\n\n- Susceptibility Map (i.e.\, the European Landslide Susceptibility Map\, provided by the Joint Research Centre European Soil Data Centre)\n- National mosaic of landslid e hazard zones\, provided by ISPRA (River Basin Plans PAI)\n- Cumulated pr ecipitations (derived by cumulating ground measurement data collected by w eather stations\, if available\, or by interpolating hourly rainfall data provided by the Global Satellite Mapping of Precipitation service\, GSMaP\ , offered by the JAXA Global Rainfall Watch)\n- Land Cover Change (i.e.\, the CORINE Land Cover inventory)\n- Seismic events inventory\, provided by INGV\, to account for earthquake-induced landslides\n- MTInSAR ground dis placement time series.\n\nThe last input is essential for detecting instab le areas\, whose MTInSAR displacement trend exhibits a significant velocit y in the whole observation period and/or an acceleration in the acquisitio n dates of the last year. The SeVaRA “Deformation Sub-System” has been primarily designed to be interfaced with the Rheticus® Displacement Serv ice\, but it supports also products offered by the EGMS service as well as by other MTInSAR services available on the EO market. The final step cons ists in the computation of the landslide risk index\, obtained by combinin g the previous hazard index with the vulnerability and the exposure of the area of interest. The results of this study over specific areas of intere st will be presented and commented.\n\nAcknowledgments\n\nStudy carried ou t in the framework of the SeVaRA project\, funded by Apulia Region (PO FES R 2014/2020). DTSTAMP:20260609T143015Z LOCATION:Sala Biblioteca @ PoliBa SUMMARY:Exploitation of Multi-Temporal InSAR data for Environmental Risk As sessment Services - Davide Oscar Nitti\, Alberto Morea\, Khalid Tijani\, N icolò Ricciardi\, Fabio Bovenga\, Raffaele Nutricato URL:https://talks.osgeo.org/foss4g-it-2023/talk/EHR9BQ/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-BBY7VN@talks.osgeo.org DTSTART;TZID=GMT:20230614T143000 DTEND;TZID=GMT:20230614T163000 DESCRIPTION:Mergin Maps è un'applicazione per Android e iOS\, ideata e cre ata per la raccolta di dati in campagna. È completamente integrata in QGI S e\, grazie a un servizio di cloud\, i dati raccolti vengono sincronizzat i in maniera facile ed immediata su un server centrale.\n\nL'applicazione è pensata anche per un uso offline nei casi\, più o meno frequenti\, in cui la rete non sia disponibile in campagna.\n\nGrazie alla creazione di u n account sul cloud\, e all'utilizzo di un plugin di QGIS\, è molto facil e creare dei progetti direttamente dall'ufficio e sincronizzarli con i dis positivi.\n\nI progetti sincronizzati vengono storicizzati e versionati ne l cloud\, in modo da poter vedere le modifiche inserite e di apportare del le correzioni in seguito al rilievo. La sincronizzazione è bidirezionale\ , ovvero i progetti ed i dati vengono sincronizzati da QGIS al cloud e dal cloud al dispositivo. Una copia dei dati in geopackage è cosi disponibil e su ogni dispositivo e pronta per essere integrata con dati nuovi\, anche in assenza di connessione. Dal dispositivo\, con un semplice tocco\, i da ti vengono nuovamente sincronizzati nel cloud\, ed il server centrale gest irà automaticamente eventuali conflitti.\n\nMergin Maps utilizza automati camente tutte le principali caratteristiche di un progetto di QGIS: vincol i e valori predefiniti per garantire un inserimento corretto dei dati\, pe rsonalizzazione dei widget\, fotografie geotaggate\, relazioni 1:N e tanto altro ancora.\n\nMergin Maps utilizza lo stesso motore di rendering di QG IS\, e grazie a questa caratteristica rispetta pienamente gli stili impost ati nel progetto\, compresi quelli condizionali. Supporta inoltre una molt itudine di formati\, tra i quali tiles vettoriali e raster\, raster online \, connessioni dirette a database PostgreSQL\, GeoPackage e Shapefiles.\n\ nLa creazione del progetto avviene mediante QGIS\, offrendo quindi la stes sa interfaccia\, le stesse potenzialità\, e la possibilità di reimpiegar e conoscenze già presenti. DTSTAMP:20260609T143015Z LOCATION:Aula 1 @ UniBa SUMMARY:QGIS in campo con Mergin Maps - Matteo Ghetta\, Ulisse Cavallini URL:https://talks.osgeo.org/foss4g-it-2023/talk/BBY7VN/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-QMQTW3@talks.osgeo.org DTSTART;TZID=GMT:20230614T144500 DTEND;TZID=GMT:20230614T150000 DESCRIPTION:Il Copernicus Hub\, il portale web sviluppato dall'Agenzia Spaz iale Europea (ESA) in collaborazione con la Commissione Europea (CE )\, fornisce accesso libero e aperto ai dati e alle informazioni raccolte da una rete di satelliti e sensori terrestri (Sentinelsat 1\, 2\, 3) nell ’ambito del programma di osservazione della terra Copernicus.\n\nSi trat ta di una serie innumerevole di informazioni geospaziali storicizzate che includono immagini satellitari\, dati climatici e dati di monitoraggio amb ientale.\n\nLo scopo principale di GeoImagery è quello di rendere disponibili questi dati in un’infrastruttura dati spaziale (Spatial D ata Infrastructure - SDI) completa e trasformarli in informazioni util i per decisioni di geo-business-intelligence\, per analisi spaziali ad-hoc e previsioni territoriali.\n\nGeoImagery utilizza esclusiva mente software opensource. In particolare\, tra le tecnologie utili zzate ci sono: Geonode\, Geoserver\, Mapstore\, Postgis\, Airflow\, Qgis.\ n\nLa piattaforma\, sfruttando l’accessibilità delle informazioni prove nienti dal Copernicus Hub\, attraverso delle pipeline che estraggon o informazioni dai dati ancillari\, permette all’utente di accedere a se rvizi che realizzano la mosaicatura ottimale dei prodotti\, l’estrazione di indici\, di utilizzare segmentazione e classificazione per l’estrazi one di informazioni dalle immagini satellitari\, di effettuare operazioni di machine learning su serie temporali.\n\nPer come è strutturato\, Ge oImagery può essere adattato all’utilizzo in campi applicativi molt o diversi tra loro\, quali la gestione delle infrastrutture\, delle flotte di droni\, l’agricoltura di precisione\, l’urbanistica\, il marketing \, la gestione delle emergenze … solo per nominarne alcuni.\n\nIn questo talk presenteremo più in dettaglio GeoImagery\, la sua infrastrut tura e le funzionalità già implementate\, dando degli esempi applicativi concreti. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:GeoImagery: dal Copernicus Hub alla geo-business-intelligence - Chi ara Sammarco\, Andrea Dilallo\, Jonas Cinquini\, Giovanni Sammarco URL:https://talks.osgeo.org/foss4g-it-2023/talk/QMQTW3/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-BEVLYR@talks.osgeo.org DTSTART;TZID=GMT:20230614T144500 DTEND;TZID=GMT:20230614T150000 DESCRIPTION:Slow and very slow landslides are quite common in territory whi ch is involved in orogenetic processes like Italian territory. These movem ents are not immediately evident\, since displacements are often a few mil limetres per year\, and they could be unknown. \n\nLandslides are a common natural hazard that can cause significant damage to infrastructure\, incl uding bridges\, tunnels\, railways and buildings. In particular\, slow lan dslides may have a long-term impact on bridges as they often occur over ex tended periods\, and the resulting deformation can be difficult to detect. Remote sensing technologies have emerged as an effective tool for detecti ng slow landslides and monitoring their impact on bridges.\n\nThis work pr ovides a comprehensive review of the interaction between slow and very slo w landslides and bridges and their analysis using remote sensing technique s. First\, the causes and types of landslides are discussed\, with a focus on slow landslides and their impact on bridges. The several factors that contribute to slow landslides\, including geology and geomorphology\, are also presented.\nHence we introduce remote sensing technologies that have been used to detect ground displacement and monitor slow landslides\, incl uding satellite imagery and multi-temporal synthetic aperture radar interf erometry. The use of remote sensing for analysing the impact of slow lands lides on bridges is also examined.\n\nFinally\, the challenges and limitat ions of using remote sensing for analysing the interaction between slow la ndslides and bridges are discussed\, including their spatial and temporal resolution\, and the need for (i) ground truth data for calibration and va lidation and (ii) for interdisciplinary collaboration between engineers\, geologists\, and remote sensing experts.\n\nThe main findings of this stud y are presented\, by highlighting the potential for remote sensing technol ogies to improve our understanding of the interaction between slow landsli des and bridges.\n\n\nAcknowledgements\n\nThis work is part of the project : “Analysis of the impacts on slow landslides based on remote sensing te chniques”\, granted by Apulian Regional Government\, RIPARTI\, project n umber 39786e0f. DTSTAMP:20260609T143015Z LOCATION:Sala Biblioteca @ PoliBa SUMMARY:Study of interaction of slow landslide with infrastructures based o n remote sensing technique - Davide Oscar Nitti\, Giovanna D'Ambrosio\, Ra ffaele Nutricato\, Angelo Doglioni URL:https://talks.osgeo.org/foss4g-it-2023/talk/BEVLYR/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-PZZ8M9@talks.osgeo.org DTSTART;TZID=GMT:20230614T150000 DTEND;TZID=GMT:20230614T151500 DESCRIPTION:Linear Infrastructures\, characterized by high level of systemi c vulnerability [1\,2]\, are subject to several environmental and geologic al hazards. In the context of risk assessment and management\, monitoring these important assets plays an important role in establishing the mainten ance planning and preventive measures against the disruptive phenomenon\, such as ground deformation due to natural and anthropogenic causes. In-sit u and traditional infrastructure monitoring approaches\, such as high-prec ision leveling measurements [3]\, are known to be costly and time-consumin g. On the other hand\, satellite Remote Sensing (RS) techniques\, such as Synthetic Aperture Radar (SAR) Interferometry (InSAR)\, are recognized to be promising tools for monitoring and condition assessment of infrastructu res [4]. \nAs an essential branch of Copernicus Land Monitoring Service (C LMS)\, the new European Ground Motion Service (EGMS) is providing freely a ccessible ground deformation data spatially covering almost all European c ountries. The deformation time time-series contained in the datapoints are acquired based on InSAR processing of Sentinel-1 images from January 2016 up to December 2021 [5\,6]. \nIn this study\, InSAR-derived deformation d ataset\, geo-environmental parameters\, and Machine Learning (ML) techniqu es have been integrated to address the major causes of this complex phenom enon\, specifically emphasizing railway and highway in Lombardy region\, I taly. The vertical displacement velocities (mm/year) of EGMS datapoints lo cated at the neighborhood of these infrastructures are utilized as the inp ut ground motion data. The conditioning factors considered in this work in clude elevation\, slope angle\, slope aspect\, precipitation\, curvature\, solar radiation\, and Normalized Difference Vegetation Index (NDVI). The ML models\, including Decision Tree (DT)\, Linear regression (LR)\, Light GBM (LG)\, XGBoost (XG)\, Random Forest (RF) and Extra Trees (ET)\, are us ed in this study. The Train-Test dataset ratio is considered to be 7:3\, w ith respect to the higher performance of this ratio [7].\nFirst\, the used models have been validated using the Area Under ROC Curve (AUC)\, and ROC being Receiver Operating Characteristic curve. The results mostly show ac cep results (interval of 0.7 to 0.8) and the applicibility of the model. T hen\, the Relative Feature Importance (RFI) analysis is carried out to add ress the significant factors causing the ground deformatio. Also\, the res ults regarding the Permutation-based and Shapley Additive Explanations (SH AP) importance decisions among the factors show that the rainfall (precipi tation) and elevation are playing the most important role in the occurrenc e of the ground deformation detected on the infrastructures\, based on the methodology adopted in this study. Also\, the effect of solar radiation c annot be neglected. More detailed and further discussion of the results w ill be provided in the full version of this letter. DTSTAMP:20260609T143015Z LOCATION:Sala Biblioteca @ PoliBa SUMMARY:Assessment of infrastructure deformation using EGMS-InSAR data and geo-environmental factors through machine learning: Railways and highways of Lombardy Region\, Italy - Marco Scaioni\, Rasoul Eskandari\, Ziyang Wan g URL:https://talks.osgeo.org/foss4g-it-2023/talk/PZZ8M9/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-BYUHZB@talks.osgeo.org DTSTART;TZID=GMT:20230614T150000 DTEND;TZID=GMT:20230614T151500 DESCRIPTION:Global nighttime imaging data\, such as Day/Night Band (DNB) VI IRS sensors\, provide global daily measurements of visible light and night infrared. Nighttime Light (NTL) remote sensing products have a wide range of applications such as feature detection and monitoring\, multitemporal analysis\, and prediction of socio-economics and environmental variables.\ n\nThis work presents a methodology based primarily on NTL data acquired b y the VIIRS (Visible Infrared Imaging Radiometer Suite) sensor mounted on Suomi NPP (National Polar-orbiting Partnership) for monitoring the constru ction of Uyghur’s detention camp in the Xinjiang Uygur Autonomous Region of the People's Republic of China (PRC). This region is strategically imp ortant for PRC\, with three of the 5 economic corridors of the Belt & Road Initiative (BRI) crossing this administrative unit. Due to its history an d culture strongly linked to the Sunni Islamic world and the independence movements rekindled after the dissolution of the Soviet Union\, this area is particularly sensitive (and consequently\, under special observation) f or the Chinese central government. In December 2015\, the National People' s Congress passed an anti-terrorism law\, which defined various aspects of the Uyghur lifestyle and culture as a security issue\, contextualizing th em as terrorists and extremists. \nSince 2014\, PRC has begun the construc tion of detention camps\, responding to the first international accusation s by denying their existence. Only later\, when the existence of the camps was proven more strongly thanks to satellite images and other sources\, t he Chinese government changed its narrative\, by acknowledging their exist ence only as education camps\, intended to help people find stable jobs an d improve their lifestyles.\nThe methodology also exploits day optical ima ges acquired by sensors mounted on Sentinel-2 satellites and data produced by the Xinjiang Data Project that monitors the human rights situation for Uyghurs and other non-Han nationalities in Xinjiang.\n\nHistorical series of NTL radiance data has been generated over localities identified as a m ass internment camp in a fully automated processing chain based on Google Earth Engine APIs and developed within a Jupiter Notebook\, employing also open-source modules. \nThe procedure works with three major steps: \na) e xtracts from the database of Google Earth Engine VIIRS nighttime lights da ta acquired over a list of provided locations and within a user-defined ti me frame\, storing it efficiently\; \nb) calculates statistics over the ra diance values and generates charts displaying the historical trends of the calculated statistical parameters\; \nc) performs a clustering of the his torical series based on Dynamic Time Warping (DTW) and K-Means techniques. \nThe script has been released and is available on a dedicated GitHub pag e.\n\nAs a result of the procedure\, the 380 camps have been grouped into 10 clusters highlighting patterns that can be linked to different phases: construction\, operativity\, enlargement\, dismission\, etc. The interpret ation of the clusters has been later validated using the visual interpreta tion of sample Sentinel-2 images and by exploring the relationship between the radiance value and the historical record of the number of buildings w ithin each camp reported in the Xinjiang Data Project dataset. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Automatic analysis of detention camps in Xinjiang (PRC) using Night time Light remote sensing data - Andrea Ajmar\, Edoardo Vassallo\, Emere A rco URL:https://talks.osgeo.org/foss4g-it-2023/talk/BYUHZB/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-GB9YXT@talks.osgeo.org DTSTART;TZID=GMT:20230614T151500 DTEND;TZID=GMT:20230614T153000 DESCRIPTION:This research aimed to identify important urban features for su stainable development in the urban landscape of Turin\, Italy\, using mach ine learning techniques. Specifically\, the study sought to identify physi cal and social elements such as buildings\, roads\, vegetation\, and open land. The goal was to contribute to more sustainable urban environments. \ nThe study employed the open-source platform QGIS and Orfeo Toolbox (OTB)\ , a software library for processing images from Earth observation satellit es. OTB offers various algorithms\, including filtering\, feature extracti on\, segmentation\, and classification. The primary dataset used for class ification consisted of orthophotos with 3 RGB bands at a resolution of 25 cm.\nThe challenge was encountered when classifying pavement and flat roof s\, prevalent features in modern urban areas exhibiting similar radiometri c contents in the spectral domain. Flat roofs play a significant role with in sustainable urban environments\, as they can be utilized to install gre en roofs improving energy efficiency and reducing the urban heat island ef fect. Additionally\, in Italy\, where most old roofs are typically made of “terracotta” tiles\, flat roofs result being a relatively new feature in the urban landscape. Identifying flat roofs can\, therefore\, help mon itor changes in urban morphology and land use over time. \nTo address this challenge\, a 4th band was added as DEM (digital elevation model) exhibit ing a Ground Sampling Resolution of 50 cm/pix. Its main application was to create an integrated data set providing information on the elevation of t he terrain. This helped in distinguishing pavement and flat roofs based on their height difference. Adding the 4th band as DEM increased the dimensi onality and complexity of the data\, as a single pixel is now classified a s four inputs\, RGB and DEM. The random forest algorithm in OTB was applie d using pixel-based classification\, a machine-learning algorithm that com bines multiple decision trees to create a robust classifier.\nFive classes were generated for analysis using the unsupervised learning k-means algor ithm from OTB: buildings\, flat roofs\, roads\, vegetation\, and open land . These classes represent the most common urban features of the study area \, a linear concentration of urban settlements along major transportation routes. The random forest algorithm was then trained on these classes usin g a subset of the integrated dataset as training data. The trained model w as used to classify the rest of the dataset\, resulting into the final cla ssification map.\nApplying the random forest algorithm on the integrated d ataset significantly improved accuracy\, increasing the overall classifica tion accuracy from 0.83 to 0.90. Notably\, the accuracy for the road class rose from 0.796 to 0.944\, while that for the flat roof class improved fr om 0.598 to 0.773. These results provide strong evidence for the effective ness of using open-source platforms and tools like OTB to identify urban f eatures sustainably. Furthermore\, adding more bands\, such as the DEM\, c an enhance the potential of these methods for creating more accurate and d etailed maps of urban environments.\nThis study departs from traditional l and cover and land use classification methods that rely on pixel-based cla ssification using only spectral information. Pixel-based classification as signs a single class to each pixel based on its spectral signature\, which may not fully capture urban features' spatial variability and heterogenei ty. Additionally\, discriminating between similar characteristics like pav ement and flat roofs requires more than just spectral information. \nIt is worth noting that this study focused solely on identifying urban features \, including buildings\, flat roofs\, roads\, vegetation\, and open land. However\, suppose the goal is to identify a specific feature\, such as onl y roofs or roads. In that case\, the inclusion of irrelevant features in t he dataset may result in redundant data and decrease the overall accuracy of the classification. Therefore\, future studies may need to explore more advanced algorithms\, such as convolutional neural networks\, to improve the accuracy and efficiency of identifying specific urban features. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:The use of open-source machine learning techniques for urban featur es extraction - Paolo Dabove URL:https://talks.osgeo.org/foss4g-it-2023/talk/GB9YXT/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-W3NYLQ@talks.osgeo.org DTSTART;TZID=GMT:20230614T151500 DTEND;TZID=GMT:20230614T153000 DESCRIPTION:This study presents a novel approach to monitor oil spills and ships using Synthetic Aperture Radar (SAR) raw data and deep learning tech niques. The proposed methodology involves several steps including pre-proc essing (focusing\, filtering and land sea mask)\, semantic segmentation\, and classification using a deep convolutional neural network (DCNN) model\ , as well as real-time (FFT-based) processing to ensure a fast response. \ n\nTo train the DCNN model\, the study combined three datasets: CleanSeaNe t\, TenGeoP-SARwv\, and GAP_OilSpill_DB. The first two datasets are public ly available\, while the third dataset was specifically built by the autho rs by integrating known and documented case studies from news articles and cases identified in the sea area in front of the port of Brindisi (Southe rn Italy)\, internally validated by expert GAP operators. \n\nData augmen tation techniques were also utilized to improve the model's performance by generating additional training data. The DCNN model uses DeepLab v3+ base d on ResNet-18 and is trained on a large dataset of SAR images that includ es various types of oil spills\, look-alikes\, novelty objects\, and ships . \n\nThe proposed system is optimized to process data on board the satell ite to ensure a real-time response. The system transmits images to the gro und segment only if there is an event of interest (e.g. a novelty object o r an oil spill detected eventually involving the nearest ships). \n\nThe study demonstrates that the proposed approach provides a promising solutio n for real-time monitoring of oil spills\, ships and novelty objects using satellite SAR raw data. The use of deep learning and data augmentation te chniques can significantly improve the accuracy and speed of detection\, w hich can ultimately lead to better environmental management and oil spill response. .Additionally\, the proposed approach can be applied to a variet y of SAR datasets and has the potential to be integrated with existing oil spill response systems. \n\nAcknowledgments  \n\nThis work was carried out in the framework of the APP4AD project (“Advanced Payload data Proc essing for Autonomy & Decision”\, Bando ASI “Tecnologie Abilitanti Tra sversali”\, Codice Unico di Progetto F95F21000020005)\, funded by the It alian Space Agency (ASI). ERS\, ENVISAT and Sentinel-1 data are provided b y the European Space Agency (ESA). DTSTAMP:20260609T143015Z LOCATION:Sala Biblioteca @ PoliBa SUMMARY:Real-Time Oil Spill Detection by Using SAR-Based Machine Learning T echniques - Davide Oscar Nitti\, Alberto Morea\, Khalid Tijani\, Nicolò R icciardi\, Raffaele Nutricato URL:https://talks.osgeo.org/foss4g-it-2023/talk/W3NYLQ/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-WKL8U7@talks.osgeo.org DTSTART;TZID=GMT:20230614T153000 DTEND;TZID=GMT:20230614T154500 DESCRIPTION:Giacomo Caporusso(1)\, Alberto Refice(1)\, Domenico Capolongo(2 )\, Rosa Colacicco(2)\, Raffaele Nutricato(3)\, Davide Oscar Nitti(3)\, Fr ancesco P. Lovergine(1)\, Fabio Bovenga(1)\, Annarita D’Addabbo(1)\n1 IR EA-CNR – Bari\, Italy\n2 Earth and Geoenvironmental Sciences Dept.\, Uni versity of Bari\, Italy\n3 GAP srl\, Bari\, Italy\n\nAs part of the analys is of flood events\, ongoing studies aim to identify methods of using opti cal and SAR data in order to be able to map in an ever more precise way th e flooded areas that are defined following a flood. At the same time\, ins titutions responsible for territorial security have concrete needs of both monitoring tools capable of describing the susceptibility to flooding and of forecast tools for events with a fixed return time\, consistent with t he hazard and risk approaches defined\, for example\, at European or Natio nal regulatory level.\nAs far as flood hazards are concerned\, hydraulic m odeling is currently the most widely used reference for responding to fore casting needs\, while the concrete value of remote sensing support emerges in the monitoring context\, given the possibility of examining historical series of images referring to any portion of the territory.\nA statistica l approach to the analysis of historical series of satellite images can ta ke into consideration the study of the probability connected to the presen ce/absence of water in the area\, through the analysis of specific indices derived from multi- and hyperspectral optical images (NDVI\, NDWI\, LSWI) and/or intensity\, coherence and radar indices derived from SAR images. I n particular\, for the study of time series of the variables considered\, algorithmic approaches of a probabilistic nature are suitable\, such as th e Bayesian model and the Theory of Extreme Values.\nThe objective of this work is the assessment of a methodology to return the historical series of the probability of flooding\, as well as the corresponding maps\, relatin g to a test area. \nIn this context we present some results related to the study of an agricultural area near the city of Vercelli (Northern Italy)\ , characterized by the presence of widespread rice fields and affected by a major flood of the Sesia river in October 2020.\nSentinel-1 SAR images w ere considered\, from which the intensity and interferometric coherence va riables can be deduced. The hydrogeomorphological support consist of slope \, Height Above the Nearest Drainage (HAND)\, and Land Cover maps. Through the Copernicus Emergency Management\, the flood maps relating to the 2020 event were acquired\, to validate the results.\nRegarding the methodology \, the probabilistic modeling of the InSAR intensity and coherence time st acks is cast in a Bayesian framework. It is assumed that floods are tempor ally impulsive events lasting a single\, or a few consecutive acquisitions . The Bayesian framework also allows to consider ancillary information suc h as the above-mentioned hydrogeomorphology and satellite acquisition geom etry\, which allow to characterize the a priori probabilities in a more re alistic way\, especially for areas with low probability of flooding. Accor ding to this approach it is possible to express the posterior probability p(F|v) for the presence of flood waters (F) given the variable v (intensit y or coherence) at a certain pixel and at a certain time t as a function o f the a priori and conditioned probabilities\, through the Bayes equation: \np(F|v) = p(v|F)p(F) / (p(v|F)p(F) + p(v|NF)p(NF))\,\nwith p(F) and p(NF) = 1 − p(F) indicating respectively the a priori probability of flood or no flood\, while p(v|F) and p(v|NF) are the likelihoods of v\, given the two events.\nThe flood likelihood can be estimated on permanent water bodi es\, while\, to estimate the likelihood of areas potentially affected by f lood events\, the residuals of the historical series are considered with r espect to a regular temporal modeling of the variable v.\nGaussian process es (GP) are used to fit the time series of the variable v. GPs are valid a lternatives to parametric models\, in which data trends are modeled by "le arning" their stochastic behavior by optimizing some "hyperparameters" of a given autocorrelation function (kernel). The residuals with respect to t his model can be used to derive conditional probabilities and then plugged into the Bayes equation.\nThe availability of the flood maps will allow t o tackle the forecasting aspect in the next future\, taking the time serie s of satellite images as a reference. DTSTAMP:20260609T143015Z LOCATION:Sala Biblioteca @ PoliBa SUMMARY:Probabilistic approach to the mapping of flooded areas through the analysis of historical time series of SAR intensity and coherence. - Giaco mo Caporusso\, Davide Oscar Nitti\, Fabio Bovenga\, Raffaele Nutricato\, A lberto Refice\, Domenico Capolongo\, Rosa Colacicco\, Francesco P. Lovergi ne\, Annarita D’Addabbo( URL:https://talks.osgeo.org/foss4g-it-2023/talk/WKL8U7/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-T3PT8V@talks.osgeo.org DTSTART;TZID=GMT:20230614T153000 DTEND;TZID=GMT:20230614T154500 DESCRIPTION:In the 1850s landscape photography proliferated in the American West as a means of recording “then and now” views of the same landsca pe after some interval of time. Many photos were casual\, usually taken fr om the same view point but without regard to season\, or the exactness of the scene being photographed. Some are very precise and involve a careful study of the original image. These photos have provided a unique database that has been exploited by scientists from both universities and US enviro nmental agencies to track the impact of first people upon the landscape an d later of climate change. Pioneered in the US state of Arizona\, this tec hnique provided a unique opportunity to record changes in vegetation cover due to climate change and human impact\, and to document ongoing surficia l processes due to both. Remote sensing when combined with repeat photogra phy provides a unique opportunity to study these changes in much greater d etail\, especially when precise measurements are required. Landsat photos have the potential to be precisely positioned for comparison with past pho tos. This makes the measurement of both the nature of change and their rat es to be precisely measured and applied in models of environmental change. We are combining historic photos from both southern Italy and the America n West with Landsat photos to study changes in the two areas during the la st 140 years. In particular\, we are focusing upon changes in both vegetat ion cover due to climate change and to the activities of people. We are al so investigating relationship between vegetation cover destruction and ero sion. We will be use our findings and relating it to specific changes in c limate to see what conditions have been the most destructive with regards to both annual rainfall amount and in changes in rainfall seasonality. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Application of Remote Sensing to Repeat Photography to Analyze Land scape Change - Peter Ernest Wigand\, Somayeh Zahabnazouri URL:https://talks.osgeo.org/foss4g-it-2023/talk/T3PT8V/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-PVRSXL@talks.osgeo.org DTSTART;TZID=GMT:20230614T154500 DTEND;TZID=GMT:20230614T160000 DESCRIPTION:Simplify field survey by capturing Geodata on your mobile or ta blet. Create mobile forms with the fields you require and invite your surv ey teams to complete them on their phones or tablets. Captured data\, alon g with their location can be surveyed offline\, then synced back to the of fice in seconds.\n\nMergin Maps is an extension of the free and open sourc e GIS software QGIS. It allows you to open\, interrogate and edit your QGI S projects on your mobile. Map layers look the same as in QGIS desktop and you can sync your data back and forward with QGIS desktop using the Mergi n Maps QGIS plugin.\n\nAdvantages of the Mergin Maps system:\n\n- Configu rable forms and validation on the fly\n- No need for cables to get your da ta on/off your device\n- Connect to external GNSS devices for high accurac y location data\n- Wide selection of CRS with possible transformation and datum shift grids\n- Stake out and line recording utilising GPS\n- Share f ield survey with others for collaborative working\n- Safely work together on the same datasets\, even offline\n- Updates from different surveyors ar e intelligently merged\n- Push data back from the field in real time\n- Se e version history and cloud-based backup\n- Fine-grained access control\n- Sync with your PostGIS datasets\nMergin Maps is developed by Lutra Consul ting. With more than 14 years of experience helping organisations adopt op en source GIS\, we designed Mergin Maps to help solve challenges in a wide range of industries. Lutra Consulting is part of the core QGIS developmen t team. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Mergin Maps: an open source platform to take QGIS to the field! - S aber Razmjooei URL:https://talks.osgeo.org/foss4g-it-2023/talk/PVRSXL/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-C9XPLT@talks.osgeo.org DTSTART;TZID=GMT:20230614T154500 DTEND;TZID=GMT:20230614T160000 DESCRIPTION:EUSI il principale gateway Europeo per immagini VHR satellitari \, missioni di tasking\, e monitoraggio.\n\nAbstract: EUSI è un’azienda all'avanguardia nell'osservazione della Terra e fornisce soluzioni tecnol ogiche avanzate per immagini satellitari ad altissima risoluzione (VHR)\, prodotti 2D e 3D e applicazioni geospaziali tra cui strumenti di analisi b asati sull'intelligenza artificiale. Grazie alle nostre stazioni di terra (multi-missione) abbiamo la capacità unica di fornire immagini in meno di 30 minuti dalla raccolta\, fornendo ai nostri clienti geo-intelligenza te mpestiva e accurata. Grazie all'accesso a una costellazione di più di 30 satelliti\, i nostri partners beneficiano di una qualità e di una produtt ività delle immagini senza pari\, con risoluzioni che vanno da 30 cm a 1 m\, con una frequenza di rivisitazione giornaliera combinata di quasi 10 v olte al giorno in pancromatico\, multispettrale\, iperspettrale e video. Q uest’anno grazie all'aggiunta dei satelliti ad alte prestazioni della co stellazione WorldView Legion offriremo un monitoraggio più persistente e accurato\, con rilevamento dei cambiamenti quasi in tempo reale e analisi tempestive su scala. La presentazione si concentra sulle capacità all'ava nguardia di EUSI e la nostra lunga cooperazione lavorativa con Planetek\, un azienda leader nel settore dei Sistemi Informativi Geografici e dell’ elaborazione di immagini telerilevate da satellite. Partecipate alla prese ntazione per saperne di più su come stiamo trasformando il modo in cui os serviamo e analizziamo il nostro pianeta. DTSTAMP:20260609T143015Z LOCATION:Sala Biblioteca @ PoliBa SUMMARY:EUSI il principale gateway Europeo per immagini VHR satellitari\, m issioni di tasking\, e monitoraggio. - Valerio Gulli URL:https://talks.osgeo.org/foss4g-it-2023/talk/C9XPLT/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-YV9JCN@talks.osgeo.org DTSTART;TZID=GMT:20230614T163000 DTEND;TZID=GMT:20230614T183000 DESCRIPTION:Nel corso degli ultimi cinquant'anni\, i sistemi di posizioname nto e navigazione basati su satelliti hanno acquisito una crescente import anza sia in campo scientifico che in ambito professionale. \nL'evoluzione dal Global Positioning System (GPS)\, nato come sistema prettamente milita re svilup-pato dagli Stati Uniti d’America\, al Global Navigation Satell ite System (GNSS)\, che attualmente comprende costellazioni satellitari ge stite da Russia (Glonass)\, Europa (Galileo )\, Cina (Beidou) e al-tre naz ioni\, e il cui segnale è utilizzabile anche dagli utenti civili\, ha ape rto nuove opportunità per i ricercatori e accelerato la diffusione di app licazioni ormai di uso quotidiano (es. strumenti per la na-vigazione insta llati sui telefonini). \nInoltre\, la crescente disponibilità di ricevito ri a basso costo e l'implementazione di un numero sem-pre maggiore di staz ioni di riferimento operanti in continuo (Continuously Operating Reference Sta-tions - CORS)\, spesso appartenenti a reti regionali\, consente oggi ai professionisti di eseguire facil-mente attività di posizionamento\, sf ruttando la modalità Real-Time Kinematic (RTK)\, ed evitando così la fas e di post-elaborazione delle osservazioni acquisite in campo. \nDi contro\ , la disponibilità di modalità di posizionamento rapido ha fatto sì che in molti casi l’operazione di rilievo si sia ridotta alla mera “press ione di un pulsante”\, portando alla perdita di co-noscenza teorica dei principi di funzionamento del sistema e al sottoutilizzo delle potenzialit à dello strumento\, soprattutto in ambito professionale. \nAlla luce di c iò\, il workshop proposto intende fornire i concetti alla base del GNSS e delle tecniche di posizionamento\, e semplici esempi di elaborazione dei dati attraverso un pacchetto di programmi completamente gratuito e open-so urce\, ovvero RTKLIB\, che permette di utilizzare le osservazioni acquisit e da qualsiasi ricevitore per eseguire operazioni di posizionamento con pr estazioni parago-nabili a quelle dei software commerciali. DTSTAMP:20260609T143015Z LOCATION:Aula 4 @ UniBa SUMMARY:Principi base del sistema GNSS ed elaborazione di dati con un appli cativo open-source - ALBERICO SONNESSA URL:https://talks.osgeo.org/foss4g-it-2023/talk/YV9JCN/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-MRCER9@talks.osgeo.org DTSTART;TZID=GMT:20230614T163000 DTEND;TZID=GMT:20230614T183000 DESCRIPTION:Questo corso si focalizza sull’estrazione e produzione di inf ormazioni preziose per il monitoraggio ambientale e la gestione del territ orio attraverso l'uso di fonti di dati open\, come quelle fornite dal prog ramma Copernicus\, un'iniziativa dell'Unione Europea volta a garantire la diffusione di dati e servizi ambientali accurati e affidabili per supporta re i processi decisionali. Tale servizio si configura come uno strumento e ssenziale per gestire\, monitorare e valutare l'ambiente e le sue risorse\ , utilizzabile da un'ampia gamma di utenti\, tra cui decisori politici\, r icercatori e aziende\, per analizzare e fronteggiare le più importanti cr iticità ambientali. \nDopo una panoramica dell'iniziativa Copernicus e de i suoi servizi\, saranno introdotte le potenzialità della piattaforma Goo gle Earth Engine (GEE) nel processamento dei big data geospaziali. GEE è una piattaforma cloud\, versatile e gratuita\, sviluppata da Google nel 20 17 per trattare i big data geospaziali\, e caratterizzata da un database i ntegrato\, continuamente aggiornamento\, in cui sono immagazzinati i dati geospaziali open-source e free prodotti e diffusi dai vari programmi spazi ali. Al suo interno è possibile effettuare ricerche geospaziali complesse e creare carte personalizzate\, integrando una varietà di fonti di dati e tools mediante lo sviluppo di codici in linguaggio di programmazione Jav ascript o Python.\nLa natura pratica del workshop suggerisce che i parteci panti acquisiscano esperienze di base per estrarre importanti informazioni dalle immagini satellitari e dalle altre fonti di dati geospaziali di tip o open.\nAlcuni potenziali argomenti che saranno trattati nel workshop son o:\n• Presentazione del programma Copernicus e del servizio di monitorag gio del territorio da esso fornito\n• Introduzione a Google Earth Engine e alle sue potenzialità nel processamento ed analisi dei big dati geospa ziali\n• Esercizi pratici volti ad analizzare e processare i dati e i se rvizi Copernicus in ambiente Google Earth Engine. DTSTAMP:20260609T143015Z LOCATION:Aula 1 @ UniBa SUMMARY:Trasformare gli Open Data in informazioni utili per il monitoraggio ambientale e la gestione del territorio con i servizi Copernicus e Google Earth Engine. - Alessandra Capolupo URL:https://talks.osgeo.org/foss4g-it-2023/talk/MRCER9/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-XUUEYG@talks.osgeo.org DTSTART;TZID=GMT:20230615T093000 DTEND;TZID=GMT:20230615T103000 DESCRIPTION:Dal 14 al 16 giugno 2023 il Politecnico di Bari e l'Università degli Studi di Bari ospiteranno il convegno su Software e Dati Geografici Free e Open Source FOSS4G-IT 2023\, organizzato congiuntamente da: Associ azione Italiana per l'Informazione Geografica Libera GFOSS.it APS\, Associ azione Italiana di Telerilevamento A.I.T. e Wikimedia Italia\n\nIl success o delle edizioni precedenti (2017 a Genova\, 2018 a Roma\, 2019 a Padova\, 2020 a Torino) ha definitivamente posto FOSS4G-IT come uno degli appuntam enti di riferimento a livello nazionale per utilizzatori e sviluppatori di software geografico libero e per produttori e fruitori di dati geografici liberi\, senza tralasciare le occasioni di scambio tra le persone apparte nenti a tutte le comunità che guardano alle soluzioni libere nel campo de ll'informazione geografica.\n\nLo scopo dell'evento è quindi:\n\n pres entare esperienze di utilizzo di dati e software Free e Open Source per il trattamento delle informazioni geografiche\;\n creare occasioni di con fronto e scambio di conoscenza tra utenti professionali\, utenti della Pub blica Amministrazione centrale e locale\, sviluppatori e produttori di dat i geografici\;\n presentare sviluppi e potenzialità di progetti liberi in ambito geografico riguardanti tutti gli ambiti di interesse (beni cult urali\, pericoli naturali e antropici\, ecc)\;\n mostrare lo stato dell 'arte di progetti di software geografico\, libero le prospettive di svilup po sia del software sia delle comunità che ruotano attorno ad esse e che li sostengono.\n\nIn continuità con le edizioni precedenti\, FOSS4G-it 20 23 sarà preceduto da due giornate dedicate a workshop di introduzione pra tica ai sistemi FOSS4G\, mentre per tutta la durata dell'evento ci sarà s pazio per Community Sprint di progetti liberi per attività di sviluppo so ftware\, traduzione di documentazione e altro.\n\nLa comunità italiana di OpenStreetMap (OSM)\, rappresentata da Wikimedia Italia\, promuoverà una giornata di mapping party e divulgazione sui temi della libera mappatura aperta a tutti\, maggiori informazioni sulla pagina wiki.\n\nAnche la comu nità degli utenti italiani di QGIS sarà presente con il periodico hackfe st italiano\, per maggiori dettagli vedere la pagina dedicata.\n\nGli atti del convegno potranno essere pubblicati su Riviste scientifiche a diffusi one mondiale.\n\nLa partecipazione al convegno è libera e gratuita\, graz ie all’attività volontaria degli organizzatori e al supporto degli spon sor\, ma è richiesta la registrazione. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Quale futuro per il FOSS? - Paolo Dabove URL:https://talks.osgeo.org/foss4g-it-2023/talk/XUUEYG/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-PUBWWT@talks.osgeo.org DTSTART;TZID=GMT:20230615T110000 DTEND;TZID=GMT:20230615T111500 DESCRIPTION:Accedere e offrire servizi basati sui dati catastali italiani n on è così facile. Il più delle volte sistemi obsoleti e database framme ntati causano non poche difficoltà. Eppure sono informazioni che possono risultare strategiche in diversi ambiti: dall’uso responsabile delle ris orse terrestri\, alla definizione di politiche per la crescita economica d i un territorio\, fino al campo delle azioni immobiliari.\n\nCatasto-Op en mira a rendere l’interazione con le informazioni catastali sempli ce ed intuitiva. Si tratta di un insieme di strumenti per la gestione dei dati anagrafici e geospaziali del Catasto italiano\, che dà la possibilit à di:\n\n\n\nUn database centralizzato e facilmente accessibile delle informazioni\, corredato da servizi di inter rogazione ad hoc e basato sui dati resi disponibili all’agenzia governat iva.\n\nIl software si propone come una soluzione completa open source per la gestione dei dati catastali italiani e ha le seguenti funzionalità:\n \n\n\nIn questo talk sarà presentato il software Catasto-Open e le sue funzionali tà. Grazie alla sua architettura\, allo sviluppo guidato dalla comunità e ai fattori di scalabilità\, sicurezza\, e conformità agli standard\, C atasto-Open ha tutte le carte per aiutare chi deve implementare soluzioni per l’amministrazione di dati catastali. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Catasto-Open: strumenti open-source per la visualizzazione dei dati catastali - Chiara Sammarco URL:https://talks.osgeo.org/foss4g-it-2023/talk/PUBWWT/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-SSVJ98@talks.osgeo.org DTSTART;TZID=GMT:20230615T111500 DTEND;TZID=GMT:20230615T113000 DESCRIPTION:La Regione del Veneto è da tempo impegnata nello sviluppo di u na Piattaforma di Monitoraggio Territoriale (PIMOT) che è sostenuta con c rescente energia dagli indirizzi politici al fine di migliorare i processi di programmazione\, pianificazione e monitoraggio del territorio e dell ’ambiente.\nSi tratta di un progetto che sviluppa un articolato sistema di informazioni basate sulla componente geografica e che vede coinvolte nu merose strutture regionali\, centrali e periferiche. Il ricorso alle appli cazioni open source (Qgis\, Postgres…) ha consentito infatti non soltant o di creare una rete di dati molto ricca e diversificata\, ma anche di col legare diverse categorie di utenze raggiungendo gli specialisti che operan o nelle sedi periferiche e a più diretto contatto con il territorio anche nelle situazioni di emergenza. \nPIMOT mette a sistema un vastissima mole di dati interni regionali provenienti dall’Infrastruttura Dati Territor iali (IDT-RV) e dai sistemi di monitoraggio di ARPAV a cui si accompagnano fonti esterne derivanti soprattutto da piattaforme satellitari per l’Ea rth Observation.\nDa questo serbatoio di dati si ricavano informazioni sto riche ed in tempo reale che sono agevolmente fruibili dagli utenti attrave rso procedure e servizi di facile utilizzo.\nAccanto allo sviluppo e all ’implementazione della piattaforma sono stati sviluppati dei servizi soc ial per divulgare al maggior numero possibile di utenti i temi dell’osse rvazione della Terra che\, unitamente a cicli di formazione online\, stann o disseminando le competenze tecniche e scientifiche creando\, in ultima a nalisi\, le condizioni adeguate per il potenziamento a lungo termine della piattaforma. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Piattaforma open source per la gestione del territorio della Region e del Veneto - Umberto Trivelloni URL:https://talks.osgeo.org/foss4g-it-2023/talk/SSVJ98/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-X8ZS9K@talks.osgeo.org DTSTART;TZID=GMT:20230615T113000 DTEND;TZID=GMT:20230615T114500 DESCRIPTION:La mappatura geomorfologica a “copertura totale” mediante l ’utilizzo di software opensource: \nstrumento di valutazione\, gestione e mitigazione dei rischi geomorfologici\n\nDipartimento di Scienze della T erra e Geoambientali\, Università degli Studi di Bari “Aldo Moro”\nMa ra Remi – mara.remi@uniba.it\n\nAbstract\nLa produzione di cartografie g eologiche e geotematiche è essenziale per il Sistema Informatico Territor iale Integrato\, il quale fornisce una comprensione approfondita del terri torio in termini di litologia\, strutture e morfologia\, rendendolo un uti le strumento per la pianificazione territoriale. Nel tempo\, numerosi prog etti hanno contribuito alla creazione di queste mappe\, utilizzando simbol i e colori standardizzati (ad esempio\, il progetto CARG) per ottenere una rappresentazione cartografica omogenea con un linguaggio comune e interpr etabile a livello nazionale. Attualmente\, la cartografia geomorfologica " a copertura totale" è emersa come uno strumento fondamentale per la valut azione\, gestione e mitigazione dei rischi geomorfologici\, favorendo una pianificazione territoriale accurata. A differenza dell'approccio cartogra fico "tradizionale"\, che impiega simboli e colori per rappresentare dati morfogenetici\, questo metodo utilizza vettori poligonali e puntuali. Ciò garantisce che nessun punto o area venga trascurato durante il processo d i interpretazione e che ogni elemento sia discretizzato\, offrendo una rap presentazione completa e dimensionalmente corretta della complessità del paesaggio fisico (forme\, depositi e processi) su diverse scale. La creazi one di questa Carta Geomorfologica a copertura totale viene effettuata su piattaforme GIS open source (come QGIS)\, sfruttando le potenzialità di g eoreferenziazione\, digitalizzazione degli elementi cartografici\, visuali zzazione multiscala e elaborazione di layer informativi diversi. Per facil itare la redazione cartografica\, sono stati raccolti ed elaborati diversi layer informativi utilizzando il software QGIS\, che supporta l'interpret azione degli elementi morfogenetici della superficie terrestre. A partire da una base topografica IGM 1:25.000 e CTR 1:5.000\, sono stati aggiunti u lteriori layer informativi\, tra cui ortofoto\, dati idro-geomorfologici\, modelli digitali del terreno (DTM) e dati LiDAR. Utilizzando le informazi oni contenute negli ultimi due (ovvero l'elevazione del terreno)\, è poss ibile derivare\, tramite gli strumenti di processing di QGIS\, mappe di in dici geomorfologici che supportano l'interpretazione e la mappatura delle forme. Un esempio di questi layer sono gli "hillshade"\, raster che mappan o il terreno utilizzando luce e ombra per simulare un effetto 3D\, e i "ge omorphon"\, raster derivati da un'analisi qualitativa della topografia che \, attraverso l'uso di diversi colori\, permettono di visualizzare le form e più comuni del paesaggio\, come aree di pendenza\, ripiani pianeggianti \, avvallamenti\, valli\, oltre a punti più alti come creste e crinali. Q uesti elementi sono fondamentali per la mappatura delle unità geomorfo-to pografiche\, che a loro volta contribuiscono al riconoscimento delle morfo logie e alla comprensione dei processi morfogenetici che determinano l'evo luzione del paesaggio. In conclusione\, questi elementi di supporto sono c onsiderati un aspetto chiave per la mappatura geomorfologica a copertura t otale\, in quanto consentono la discretizzazione accurata delle forme del paesaggio e dei processi a cui sono soggette\, migliorando la valutazione del livello di pericolo e/o di rischio geomorfologico. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:La mappatura geomorfologica a “copertura totale” mediante l’u tilizzo di software opensource: strumento di valutazione\, gestione e mit igazione dei rischi geomorfologici - MARA REMI URL:https://talks.osgeo.org/foss4g-it-2023/talk/X8ZS9K/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-GAFHSX@talks.osgeo.org DTSTART;TZID=GMT:20230615T114500 DTEND;TZID=GMT:20230615T120000 DESCRIPTION:In questa presentazione TomTom illustrerà lo use-case del Comu ne di Caprezzo (Verbano-Cusio-Ossola)\, un piccolo comune montano all’in terno del Parco Nazionale della Val Grande in Piemonte\, che aveva la nece ssità di aumentare la propria raggiungibilità. \nDal 2020 il Comune di C aprezzo ha visto crescere la propria popolazione. La possibilità di poter fare smart working\, il desiderio di poter avere più spazio vivibile dur ante i lockdown del 2020 e 2021 e l’aumento del costo della vita in citt à hanno creato le condizioni affinchè ci fosse un aumento della crescita della popolazione anche giovanile. Questo incremento ha portato ad una se rie di conseguenze tra cui una maggiore domanda di servizi\, in particolar modo è emersa la criticità del raggiungimento dei cittadini da parte de i mezzi di primo soccorso: la mappa del paese era poco aggiornata e con po chi contenuti disponibili\, per questo motivo il Comune di Caprezzo si è fatto aiutare da TomTom.\nCaprezzo e TomTom hanno lavorato insieme ad una strategia congiunta che comprendeva l’analisi dello stato di fatto\, le risorse\, i risultati\, le tempistiche e le opportunità future. La Commun ity di Caprezzo è nata a inizio 2023 e da allora molto è stato fatto\, l a presentazione di TomTom tratterà in dettaglio:\n• Le risorse: come To mTom ha supportato la creazione della comunità locale di mappatori\, come e cosa è stato fatto\, chi e come ha supportato dall’esterno\n• I ri sultati: tra cui com’era e com’è oggi la mappa di Caprezzo\n• Le op portunità future: cosa si può fare nel prossimo futuro \nL’esperienza di questa comunità con OpenStreetMap (“non avrei mai detto che lavorare su una mappa fosse così bello”\, “avevo paura che mappare fosse diff icile e invece devo ammettere di no!”\, “mi sono sentito utile diverte ndomi”...) e la sinergia che si è creata con TomTom (“Grazie per aver ci aiutato! E’ bello che io possa contribuire direttamente all’aggiorn amento della mappa del mio paese”) sono ulteriori risultati positivi di questa attività congiunta.\nIl tema della scarsa raggiungibilità solleva ta dal Comune di Caprezzo\, affrontata insieme a TomTom grazie a OpenStree tMap è un’esperienza importante che ha dato risultati tangibili\, che p otrebbero essere replicati in altri comuni. La strategia seguita e le prob lematiche affrontate insieme giorno dopo giorno potranno essere sicurament e di aiuto per altre realtà che ne vogliano seguire l’esempio e intrapr endere quindi iniziative simili. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:La raggiungibilità dei comuni montani: Come e perchè costruire un a comunità di mappatori locali – Caprezzo Community use-case - Chiara A ngiolini URL:https://talks.osgeo.org/foss4g-it-2023/talk/GAFHSX/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-ELD9KR@talks.osgeo.org DTSTART;TZID=GMT:20230615T120000 DTEND;TZID=GMT:20230615T120500 DESCRIPTION:L’uso dei sistemi informativi territoriali è ormai diventato indispensabile per tutti gli studi che utilizzano informazioni con una co mponente spaziale. Sempre più neofiti si avvicinano a questo mezzo di lav oro per la gestione e rappresentazione dei dati georiferiti\, ma l’appro ccio può risultare molto difficoltoso soprattutto per gli studenti che si trovano ad affrontare questo tipo di studi per la prima volta.\nSicuramen te il concetto più ostico da assimilare riguarda la gestione dei sistemi di riferimento. La possibilità di visualizzare e gestire dati con coordin ate espresse in sistemi di riferimento diversi in un progetto che può ave re un sistema di riferimento ancora differente\, crea una certa confusione . Se poi si tratta di dover georeferenziare della cartografia non reperibi le online\, la situazione richiede un’attenzione ancora maggiore nella s celta del sistema di riferimento da attribuire al dato raster. Tuttavia\, l’ampia disponibilità di dati da webgis con un proprio sistema di rifer imento riduce tale problematica.\nUn altro aspetto della gestione dei dati in un GIS riguarda la creazione e la modifica dei vettoriali. Nella parte teorica gli studenti non incontrano particolari difficoltà così come ne lla creazione dei dati puntuali. Anche la geometria lineare non è partico larmente problematica\, mentre la creazione di poligoni\, soprattutto se s i tratta di una vettorializzazione a copertura continua\, si configura com e una procedura particolarmente ostica. Il rispetto della topologia è\, i n parte\, garantito dagli strumenti idonei\, ma alcune azioni di editing s fuggono a tale controllo come la sovrapposizione di vertici dello stesso p oligono. Anche l’utilizzo di altri strumenti di editing avanzato incontr a qualche difficoltà dovuta\, soprattutto\, alla sequenza di azioni da co mpiere e a problemi di natura topologica non segnalati in questa fase.\nFr a le maggiori difficoltà riscontrate rientra anche quella di capire e ges tire i molteplici comandi legati al layer: la caratterizzazione della simb ologia e il gran numero di operazioni che si possono effettuare sui singol i tematismi risulta essere di una certa complessità. \nLa presenza di un docente che guidi e indirizzi l’uso iniziale dei sistemi informativi ter ritoriali favorisce il passaggio delle nozioni\, soprattutto se mancano ba si di informatica e programmazione. La procedura guidata e la possibilità di correggere immediatamente gli errori incoraggia l’apprendimento dell a giusta sequenza di passaggi e la comprensione della logica che sottende all’utilizzo del GIS. Gli errori più comuni\, derivanti dalle procedure sopra descritte\, vengono risolti agevolmente poiché gli studenti\, all ’inizio del loro percorso di utilizzo del GIS\, tendono a commettere gro ssomodo sempre la stessa tipologia di operazioni inesatte.\nTuttavia\, la semplificazione di alcune procedure nell’interfaccia utente dei software dedicati può contribuire notevolmente all’abbattimento delle difficolt à che i neofiti incontrano nel loro primo approccio ai sistemi informativ i territoriali. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:L’approccio al software open source per il Gis: i concetti più o stici - ANTONELLA Marsico URL:https://talks.osgeo.org/foss4g-it-2023/talk/ELD9KR/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-ZP3EYG@talks.osgeo.org DTSTART;TZID=GMT:20230615T120500 DTEND;TZID=GMT:20230615T121000 DESCRIPTION:Grazie allo sviluppo avvenuto\, in particolare a partire dal nu ovo millennio\, di metodologie\, strumenti e tecnologie opensource per la comunicazione e diffusione di contenuti geografici\, che rientrano sotto i l termine di GEO-ICT\, ovvero tecnologie di geo-informazione e comunicazio ne\, le università hanno potuto sfruttare uno strumento in più per porta re l’educazione geografica agli studenti e studentesse universitari ed u scire anche dai campus con il coinvolgimento della società civile. Questo si rivela particolarmente importante in un periodo storico in cui la diff usione di strumenti quali smartphone provvisti di GPS e app geografiche\, droni\, satelliti e geo-portali ricchi di informazioni libere e gratuite p ermettono a chiunque di raccogliere\, produrre e condividere contenuti spa ziali. Imparare ad utilizzare al meglio e in maniera più consapevole ques ta miniera di strumenti e informazioni è fondamentale per migliorare le p rogettualità e l’inclusione nei processi decisionali relativi a tematic he socio-ambientali e territoriali.\nIl centro di Eccellenza sulla Giustiz ia Climatica (progetto Jean Monnet Erasmus+ 2020-2023) dell’Università degli Studi di Padova\, guidato dal gruppo di ricerca "Cambiamenti climati ci\, territori\, diversità"\, dipartimento ICEA\, ha individuato in parti colare nei Massive Open Online Courses (MOOC) un’opportunità per diffon dere e veicolare alla società civile e al mondo accademico i temi ad alto contenuto geografico sviluppati dal Centro\, quali il cambiamento climati co\, la giustizia climatica e ambientale e la giusta transizione dai combu stibili fossili.\nDurante il 2022 i collaboratori e le collaboratrici del Centro hanno ideato e sviluppato due MOOC\, il primo relativo al cambiamen to climatico e alle azioni di mitigazione e adattamento e il secondo con u na forte anima pratica e dedicato alle metodologie proprie della GIScience e agli strumenti\, piattaforme e dati geografici e statistici liberi e op en-source che permettono la ricerca\, produzione e condivisione di dati e informazioni utili per progetti\, azioni e iniziative partecipate di giust izia climatica e ambientale. \nIn agosto 2022\, durante il Foss4g-it di F irenze\, è stato presentato un primo contributo relativo al MOOC sulla GI Science per la giustizia climatica\, dall’ambizioso titolo “Geo-ICTs f or good: a MOOC on GIScience for Climate Justice” (https://isprs-archive s.copernicus.org/articles/XLVIII-4-W1-2022/103/2022/isprs-archives-XLVIII- 4-W1-2022-103-2022.pdf) dove è stato descritto il quadro teorico e metodo logico alla base dello sviluppo di questo strumento che allora si trovava nella fase di pianificazione. Dopo quasi 8 mesi\, in aprile 2023 la prima versione di questo MOOC ha visto la luce nella piattaforma moodle dell’U niversità di Padova\, assieme al MOOC dal titolo “Cambiamenti climatici e adattamenti negli ecosistemi e nelle società”. \nNel contributo prop osto durante i GEOdaysIT 2023\, si vuole presentare quindi il risultato ta ngibile\, il prodotto finale scaturito da quanto esposto a Firenze. Parten do dalla visualizzazione ed esplorazione del MOOC presente nella piattafor ma moodle\, si descriverà quanto elaborato e le differenze e gli accorgim enti adottati rispetto a quanto pianificato 8 mesi fa\, basate sui feedbac k ricevuti da studenti e altri partecipanti durante la fase dello sviluppo . Nella presentazione si farà riferimento anche al suo MOOC fratello\, ch e\, con una differente impostazione\, vuole invece fornire la base teorica relativa ai cambiamenti climatici per poter affrontare questa parte più pratica\, benché siano stati ideati per essere fruiti anche in maniera in dipendente. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Il MOOC sulla GIScience per la giustizia climatica: dalla teoria al la pratica - Daniele Codato URL:https://talks.osgeo.org/foss4g-it-2023/talk/ZP3EYG/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-8GGGXB@talks.osgeo.org DTSTART;TZID=GMT:20230615T121000 DTEND;TZID=GMT:20230615T121500 DESCRIPTION:Le immagini satellitari ad alta e altissima risoluzione sono or mai una risorsa insostituibile per l'osservazione della terra e per l'estr azione di informazioni territoriali. Le immagini satellitari ad alta risol uzione devono essere sottoposte a un processo di orotrettifica geometrica per poter essere utilizzate a fini metrici. Infatti per poterle utilizzare correttamente e confrontarle con rilievi e mappe precedenti\, è necessar io trattarle geometricamente per eliminare le distorsioni introdotte dal p rocesso di acquisizione. Si ricorda che le immagini che arrivano dai gesto ri dei satelliti non sono propriamente orotrettificate ma\, al massimo han no subito un primo processo di orientamento. L’ ortorettifica\, infatti\ , non è una semplice georeferenziazione perché il processo deve tenere c onto della geometria tridimensionale di acquisizione del sensore. Per ques to motivo l'ortorettifica deve essere eseguita all'interno di specifici so ftware commerciali con costi e tempi aggiuntivi rispetto all'acquisizione delle immagini. Questa operazione\, chiamata orientamento\, può essere e ffettuata utilizzando vari modelli matematici come quelli rigorosi\, quell i basati su funzioni polinomiali razionali (RPF) e su a coefficiente polin omiali razionali anche definiti da alcuni autori\, a coefficiente di posiz ionamento rapido (RPC). Alcuni algoritmi di ortorettifica\, basati princip almente sull'approccio RPC\, sono però disponibili in software GIS open s ource come QGIS. OTB (Orpheus toolbox) per QGIS contiene alcuni di questi algoritmi\, ma le sue interfacce non sono immediate\; d’altro canto sono presenti delle opzioni di semplificazione a volte troppo limitanti\, come l'impossibilità di inserire punti di controllo a terra tridimensionali ( GCP). Questo limita fortemente l'accuratezza finale ottenibile perché non permette di stimare correttamente l'influenza delle diverse morfologie de l terreno sulla geometria di acquisizione. Infatti\, la procedura propost a in OTB non consente di sfruttare appieno le potenzialità dei modelli RP C\, su cui OTB stesso si basa. Per aggirare queste limitazioni è\, ad ese mpio\, possibile realizzare uno "pseudo DEM" ed utilizzare altri accorgime nti per completare l'intero processo ottenendo risultati assoluti paragona bili a quelli dei software più accreditati.\nIn particolare l’ortofoto ottenuta durante questa sperimentazione ha evidenziato il vistoso spostame nto in corrispondenza di un rilievo\, dovuto alla correzione con il DEM. U na prima verifica speditiva del processo di ortorettificazione è stata sv olta mediante il confronto tra l’immagine di partenza (a sinistra) e l ’immagine ortorettificata (a destra) con il file vettoriale della cartog rafia 1:5000. È stata riscontrata una buona sovrapposizione in prossimit à di strade e edifici. Per valutare l’accuratezza metrica dei risultati ottenuti con il software open source Orfeo Toolbox\, è stato svolto il c onfronto con software riconosciuto dalla comunità accademica\, utilizzand o il metodo RPC. Sono stati scelti 40 punti dalla cartografia 1:5 000\, in corrispondenza di particolari facili da collimare in modo tale da ridurre l’errore di collimazione al minimo\, e distribuiti omogeneamente in tut ta l’area di studio. Confrontando le ortofoto ottenute con con il softwa re open source Orfeo Toolbox e con il software di riferimento\, si sono ri cavati la media e la media assoluta per le differenze tra le immagini orto rettificate dai due software N ed E:\n E N\nMedia 0\,08 0\,39\nMedia assoluta 0\,27 0\,423\nLa procedura che è stata messa a punto e che proponiamo può non essere la p iù veloce ma è una valida alternativa per chi utilizza le immagini satel litari come strumento nel proprio lavoro di ricerca o professionale.\n\nGr izonnet\, M.\; Michel\, J.\; Poughon\, V.\; Inglada\, J.\; Savinaud\, M.\; Cresson\, R. Orfeo ToolBox: open source processing of remote sensing imag es. Open Geospat. Data Softw. Stand. 2017\, 2.\nToutin\, T. State-of-the-a rt of geometric correction of remote sensing data: a data fusion perspecti ve. Int. J. Image Data Fusion 2011\, 2\, 3–35.\n\nJacobsen\, K. Systemat ic geometric image errors of very high resolution optical satellites. Int. Arch. Photogramm. Remote. Sens. Spat. Inf. Sci. 2018\, -XLII-1\, 233–23 8.\n\nFraser\, C.S.\; Yamakawa\, T.\; Hanley\, H.B.\; Dare\, P.M. Geoposit ioning from high-resolution satellite imagery: experiences with the affine sensor orientation model. In Proceedings of the 2003 IEEE International G eoscience and Remote Sensing Symposium\, Toulouse\, France\, 21–25 July 2003.\n\nOTB Users\, Orectification Models. July 2019. Available online: h ttp://otb-users.37221.n3.nabble.com/Orthorectification-models-td4031100.ht ml\n\nBaiocchi\, V.\; Giannone\, F.\; Monti\, F.\; Vatore\, F. ACYOTB Plug in: Tool for Accurate Orthorectification in Open-Source Environments. ISPR S Int. J. Geo-Inf. 2020\, 9\, 11. https://doi.org/10.3390/ijgi9010011 DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Ortorettificare in QGIS con OTB: limiti e possibili soluzioni - Val erio Baiocchi URL:https://talks.osgeo.org/foss4g-it-2023/talk/8GGGXB/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-JKY93H@talks.osgeo.org DTSTART;TZID=GMT:20230615T121500 DTEND;TZID=GMT:20230615T122000 DESCRIPTION:La possibilità di accedere a diversi dataset open presenti onl ine apre molte possibilità per la produzione e implementazione di carte t ematiche\, con relativa caratterizzazione topografica.\nL’utilizzo dei s ervizi di condivisione consente di poter utilizzare tali dati come cartogr afia di base per localizzare l’area di indagine e i risultati dello stud io svolto. \nTuttavia\, non sempre tali dati supportano in modo soddisface nte la rappresentazione cartografica dei risultati di uno studio. Nel caso di modelli digitali del terreno\, ad esempio\, l’informazione rispetto alle infrastrutture antropica è scarsa\, mentre l’utilizzo di immagini o carte stradali può dare un surplus di informazioni che rendono difficol tosa la lettura del dataset che si vuole rappresentare: spesso\, infatti\, la variazione dei toni e dei colori diventa un elemento di disturbo. \nIl progetto di mappatura collaborativa OpenStreetMap (OSM)\, in piena filoso fia ‘Open’\, consente di utilizzare\, modificare e aggiungere dati geo spaziali\, in modo intuitivo\, consentendo agli utenti di produrre mappe g eotematiche per qualsiasi scopo\, superando limiti di alcuni dataset già presenti. Inoltre\, grazie alla possibilità di interrogare il database at traverso software GIS\, è possibile selezionare gli elementi vettoriali c he possono arricchire una cartografia di base che non presenta molte infor mazioni. Diverse le applicazioni\, presenti nella letteratura scientifica\ , che mostrano l’importanza di tale strumento: dalla mappatura umanitari a (con la forte presenza internazionale del network YouthMappers)\, fino a d arrivare a progetti che mirano alla valorizzazione del territorio\, mapp ando geoitinerari e siti di interesse geologico\, naturalistico\, storico. Un altro esempio di grande rilevanza è l’utilizzo dei dati OSM per la produzione di carte di previsione di inondazione nelle quali la base carto grafica è rappresentata da un modello digitale del terreno\, disponibile online\, integrato con il dataset vettoriale delle vie di comunicazione e dell’estensione dei centri abitati selezionato dal database OSM. Grazie all’integrazione di tali dati con il software QGIS e ai plugin disponibi li\, la ricerca e la selezione dei dati si è rivelata semplice e immediat a.\nL’immenso dataset di dati vettoriali disponibili OSM consente quindi un vasto grado di personalizzazione della cartografia di base\, con la po ssibilità di selezionare e utilizzare gli elementi più idonei per metter e in risalto anche i risultati di studi scientifici.\nBibliografia:\n- Ant onella Marsico\, Stefania Lisco\, Valeria Lo Presti\, Fabrizio Antonioli\, Alessandro Amorosi\, Marco Anzidei\, Giacomo Deiana\, Giovanni De Falco\, Alessandro Fontana\, Giorgio Fontolan\, Massimo Moretti\, Paolo E. Orrú\ , Enrico Serpelloni\, Gianmaria Sannino\, Antonio Vecchio & Giuseppe Mastr onuzzi (2017) Flooding scenario for four Italiancoastal plains using three relative sea level rise models\, Journal of Maps\, 13:2\, 961-967\, DOI: 10.1080/17445647.2017.1415989\n- Antonioli F.\, Anzidei M.\, Amorosi A.\, Lo Presti V.\, Mastronuzzi G.\, Deiana G.\, De Falco G.\, Fontana A.\, Fon tolan G.\, Lisco S.\, Marsico A.\, Moretti M.\, Orrù P.E.\, Sannino G.M.\ , Serpelloni E.\, Vecchio A. (2017). Sea-level rise and potential drowning of the Italian coastal plains Flooding risk scenarios for 2100. Quaternar y Science Reviews 158\, 29-43 DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Open data per le carte tematiche - ANTONELLA Marsico URL:https://talks.osgeo.org/foss4g-it-2023/talk/JKY93H/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-PWC8LG@talks.osgeo.org DTSTART;TZID=GMT:20230615T122000 DTEND;TZID=GMT:20230615T122500 DESCRIPTION:Calamai S.\, Francesconi A. and Cinelli F.\nDepartment of Energ y\, Systems\, Territory and Construction Engineering\, Largo Lucio Lazzari no\, Pisa\, University of Pisa\nThe aim of this paper is to highlight the main benefits of using the Qfield app in tree census activity. The advanta ge of entrusting all of the information to the main GIS platform of the pr oject\, which is stored inside the PC\, means this leaves only the task of checking the collected data\, along with the bonus of in-depth topographi cal and geospatial analysis. We illustrate the results of tree census acti vity in the state road 67 Tosco-Romagnola (SS 67) that connects Pisa with Marina di Ravenna\, particularly in the stretch that connects the town of Fornacette with Pontedera. Part of this stretch (about 1\,.7 km) belongs t o the Municipality of Calcinaia with which we are collaborating for the ur ban tree inventory. This one is straight\, has a discontinuous and partly uneven double row of trees of the same species (hackberry)\, and is subjec t to high vehicular traffic\, even heavy\, due to the presence of artisana l and industrial activities. The goal of the work was to evaluate the phyt opathological and hazardous conditions and the ecosystem benefits of the t rees along this stretch of road in terms of healthy\, C02 absorption\, par ticulate matter (PM10) adsorption and shade effect using a GIS opensource app (QFIELD and QGIS). Bio-morphometric parameters (diameter at breast hei gh\, tree height\, first branch height\, crown width according to the card inal points\, crown shape and density\, tree defects as cavities\, decays\ , severity of pruning\, etc.) were recorded in situ during spring and summ er. An integrated urban tree inventory was built including both quantitati ve and qualitative information and the integration between the three softw are (ITREE\, QGIS\, QFIELD) has allowed us to observe the precise and punc tual geographical context.\nFrom the paper file we have moved on to a comp uterized file linked to the geographical point and this allows us to link the observed defects and the calculated benefits of the trees to their pos ition (proximity to buildings\, presence of agricultural spaces). Hackberr y (Celtis australis L.) is a broadleaf tree species\, has a fast growth ra te\, little leaves and an height at maturity of 20 meters. The total numbe r of hackberry tree was 321 (179 on the right and 142 on the left in direc tion of Pontedera). Their main hazardous defects depend on severe pruning and on conditions of the rooting site\, but overall the most abundant fail ure risk classes are B (low) with 155 plants and C (moderate) with 136 tre es. Only one is “D” class (extreme failure risk). These trees contribu te to reduce summer air conditioning loads by shading buildings and\, if t ree canopy is sufficient\, lowering air temperatures. In our case total el ectricity saved was equal to 40 GJ for a value of about 2240 Euros. Annual carbon dioxide reductions and releases amount to 178\,600 kg/year (total stored CO2) and to 13\,440 kg sequestered (value total net CO2 about 110 E uros). Trees decrease also air pollution by adsorbing fine dust quantified in 270 kg deposition of pollutants.\nThe awareness of the existence of th ese benefits and their ecosystem and socio-economic value represents a sta rting point for improving the green urban ‘capital’ and the management practices to optimize their benefits. This integrated approach is an info rmation and governance opportunity to create a widespread consciousness of the value of urban green assets and implementing concrete actions to maxi mize their functions against the impact of climate change and air pollutio n.\nCurrently\, the possibility of an Open Source and a pocket GIS platfor m\, such as QFIELD\, truly represents a unique opportunity to make the wor k easier\, faster and more accurate. At the same time\, the GIS allows us to have a continuous overview of the data produced on site and to further implement information regarding the investigation by using geospatial anal ysis\, which helps to facilitate the final interpretative.\nSometimes tree s were prematurely removed\, not replaced\, and inadequately maintained be cause controlling costs outweighs management aimed at increasing their hea lth and the ecosystem services they provide over the long term. The inform atic tree census allowed us to give a fairly broad picture of the benefits of trees of this very busy road. Considering the empty places (removals) and the stumps still present\, the system will be able to simulate the inc rease in benefits once the trees will be reintegrated.\nIn conclusion this study could be used by the Municipality for the redevelopment of the tree -lined road and to improve the quality of life of the residents\, mitigati ng the effects of pollution. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:DATA COLLECTION FOR ASSESSMENT OF HAZARDOUS CONDITIONS AND ECOSYSTE M BENEFITS OF URBAN TREES USING QFIELD/QGIS - Calamai Stefano URL:https://talks.osgeo.org/foss4g-it-2023/talk/PWC8LG/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-RPJXUC@talks.osgeo.org DTSTART;TZID=GMT:20230615T122500 DTEND;TZID=GMT:20230615T123000 DESCRIPTION:The new EU programmes and funds aim to support the territories in facing the main challenges for development\, combining a relaunch of co mpetitiveness and sustainable and inclusive growth.\n To address issues su ch as adaptation to climate change\, the resilience of territories\, and t he protection of biodiversity and natural ecosystems\, it is necessary to support traditional planning and monitoring methods with new and more effe ctive systems capable of maximizing the effectiveness of policies and inve stments. In this context\, Regione Piemonte\, which has always been active in use of OSGeo\, has developed a new methodology that will apply in the ERDF 2021-2027 PO 2 for urban heat islands (UHI) identification and mon itoring its evolution over time. The tool involves using satellite images\ , made available by the United States Space Agency (NASA) and the European Space Agency (ESA)\, and their processing through the use of free softwar e such as QGIS\, SAGA\, GRASS\, Python\, and R\, etc. The analysis involve s the combination of data deriving from the processing of a series of sate llite images using their spectral indexes and data relating to the spatial distribution of the population most exposed to the effects of summer heat waves extrapolated from the associated demographic data to the census sec tions and provided by ISTAT. The indices derived from the satellite analys is identified for use were: the LST (Land Surface Temperature) which provi des basic information relating to the distribution of temperatures in spac e and the NDVI (Normalized Difference Vegetation Index)\, able to highligh t the vegetative state and considered strategic as it can describe the "be neficial" effects\, in terms of decrease in ground temperatures\, generate d by the presence of vegetation. The data deduced from the suitably normal ized spectral index maps were then combined with the demographic data to p roduce maps of the vulnerability of urban centers (all the cities of Piedm ont with more than 10\,000 inhabitants) to heat islands\, helpful in ident ifying the most sensitive areas where to implement appropriate NBS (Nature Based Solutions) interventions. This analysis system is supported by a mo nitoring system that evaluates the effects of the adaptation interventions to be implemented\, the LST and NDVI spectral indices have been evaluated on a seasonal basis on a ten-year historical series (2013/2022) on pilot areas. NDVI will be considered suitable for measuring the effects induced by urban transformations and therefore usable for quantifying the effectiv eness of future NBS interventions financed by the new programming. The act ivity carried out up to now has highlighted the advantages of the combined use of open source data and free software: the remote sensing data provid e updated and detailed information on land cover and make it possible to d irectly estimate certain physical and ecosystemic quantities of the territ ory while the Free software allows for extensive analysis capabilities for free.\nThe ongoing activity has allowed the development of a first propos al for a methodology that will be supplied as a support tool for planning and programming activities. This methodology\, while showing some limitati ons as it analyzes only some aspects of the UHI phenomenon\, presents inte resting development potential that will be the subject of further study. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:European Fund (ERDF) and use of Open Source Geospatial (OSGeo) to s upport the planning and monitoring in Regione Piemonte - Enrico Suozzi\, G iorgio Roberto Pelassa URL:https://talks.osgeo.org/foss4g-it-2023/talk/RPJXUC/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-SKH8SF@talks.osgeo.org DTSTART;TZID=GMT:20230615T123000 DTEND;TZID=GMT:20230615T123500 DESCRIPTION:La fotogrammetria garantisce la ricostruzione di accurati model li digitali utili a preservare il patrimonio culturale\, come previsto dal le direttive europee in materia di conservazione e digitalizzazione. Allo stesso tempo\, l’Europa sta spingendo verso la raccolta e la elaborazion e di informazioni open-source. Perciò\, i software open stanno acquisendo un ruolo principe nella modellazione 3D di dettaglio. Tra questi\, MicMac rappresenta uno degli strumenti più potenti grazie alla sua programmabil ità e versatilità\, data la presenza di diversi algoritmi di calibrazion e e la capacità di identificare con precisione i Punti di legame (Tie poi nts). Tuttavia\, il suo utilizzo è stato limitato a causa della complessi tà del linguaggio di programmazione. Solo recentemente è stata introdott a un'interfaccia user-friendly per rendere il suo utilizzo accessibile agl i utenti con limitate capacità di programmazione.\nAd oggi\, i principali approfondimenti della ricerca nella fotogrammetria riguardano la riduzio ne dei tempi di acquisizione e dell’elaborazione dei dati\, la diminuzio ne dei prezzi delle fotocamere e il miglioramento dell'accuratezza metrica dei risultati. Il crowdsensing basato sull’utilizzo di smartphone o com pact camera a basso costo sta assumendo un ruolo rilevante nel soddisfare tali esigenze\, poiché permette rapide ricostruzioni e garantisce una ade guata precisione geometrica\, prestando attenzione alla stima dei parametr i di orientamento interno e alla procedura di calibrazione della camera. \ nQuesto contributo mira\, pertanto\, a valutare le prestazioni relative al la fase di ricostruzione da dati acquisiti mediante smartphone e compact c amera impiegando due algoritmi di calibrazione diversi: RadialExtended – (RE) e FraserBasic (FB)\, all’interno delle piattaforme open-source Mic Mac per la preelaborazione delle immagini e CloudCompare per l'elaborazion e delle nuvole di punti. Le indagini sono state condotte sulla Chiesa di O gnissanti\, a Valenzano\, scelta come caso studio per la sua rilevanza sto rica e la complessità del contesto ambientale nel quale è situata. I ril ievi sono stati condotti utilizzando i sensori CMOS Nikon D-3300 e Xiaomi Redmi 10C in condizioni meteo stabili e ottimali.\nPer garantire la compar abilità dei dati\, le distanze di acquisizione sono state impostate mante nendo costanti le dimensioni dei pixel e la percentuale di sovrapposizione tra immagini contigue. Dopo una valutazione preliminare della qualità de lle immagini per eliminare le scene sfocate\, la calibrazione è stata con dotta con gli algoritmi sopramenzionati e le nuvole di punti dense risulta nti sono state filtrate per eliminare gli oggetti indesiderati e il rumore di fondo. Infine\, sono state valutate le distanze tra le nuvole e la qua lità delle ricostruzioni considerando la corrispondenza dei Tie points\, i residui medi nella fase di block-bundle adjustment e i tempi di elaboraz ione.\nConfrontando i risultati dei due metodi di calibrazione applicati a lla compact camera\, si può notare che un’accuratezza soddisfacente si ottiene con un numero di iterazione diverso per algoritmo\, (5 iterazioni con RE corrispondono a circa 60-75 con FB). Al contrario\, lo stesso risul tato\, si ottiene con lo smartphone dopo circa 15-20 iterazioni. Tuttavia\ , i criteri di corrispondenza dei tie points tra le immagini correlate rim angono costanti tra le varie tecniche di calibrazione\, il che si riflette in una sostanziale differenza dei valori appartenenti ad ogni singola cla sse. Ciò implica che i valori soglia predefiniti di MicMac non sono ottim izzati e dovrebbero essere specificati per ogni processo di calibrazione. \nLe nuvole finali sono quasi sovrapponibili in quanto la loro distanza me dia è di 0\,01 m\, sebbene la deviazione standard tra le nuvole delle com pact camera sia circa 10 volte inferiore di quella generata da smartphone\ , coerentemente con quanto riportato in letteratura.\nNella fase di ricost ruzione non è stato possibile realizzare il modello 3D con algoritmo FB d a smartphone a causa della minore flessibilità ed efficacia di questa tec nica quando le circostanze ambientali non consentono un rilievo di immagin i di qualità ottima. Inoltre\, le nuvole dense prodotte dall’elaborazio ne delle immagini acquisite da compact camera sono risultate 3 volte più dense di quelle generate dallo smartphone\, nonostante i tempi di elaboraz ione dimezzati.\nPoiché i due metodi hanno mostrato prestazioni equivalen ti anche nella ricostruzione dei dettagli architettonici\, a fronte del ma ggior tempo di acquisizione e di elaborazione\, la combinazione di compact camera e RE rappresenta la soluzione ottimale.\nSi rileva che l’uso di MicMac porta notevoli vantaggi rispetto alle piattaforme ormai consolidate poiché performante e programmabile in ogni fase del processo di ricostru zione 3D. Tuttavia\, in futuro sarà necessario prevedere valutazioni sull ’automazione della calibrazione\, sull'ottimizzazione della velocità di elaborazione oltre che sulla modellazione in tempo reale. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Utilizzo di software open-source e tecniche di crowdsensing per la calibrazione di dati orientati alla realizzazione di digital twins per il patrimonio culturale - Cristina Monterisi URL:https://talks.osgeo.org/foss4g-it-2023/talk/SKH8SF/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-LKRMHL@talks.osgeo.org DTSTART;TZID=GMT:20230615T123500 DTEND;TZID=GMT:20230615T130500 DESCRIPTION:L’esplorazione del Sistema Solare\, iniziata negli anni Sessa nta con la corsa alla Luna\, si è rivolta a partire dal decennio successi vo prima ai pianeti più vicini e più simili alla Terra\, Venere e Marte\ , per raggiungere progressivamente tutti gli altri corpi e i confini estre mi del sistema. L’Italia e l’ASI contribuiscono da almeno due decenni in maniera determinante alle più grandi missioni internazionali in questo campo.\n\nStrumenti scientifici italiani sono presenti su sonde americane ed europee come Mars Express\, TGO e MRO (in orbita attorno a Marte)\, Be piColombo\, per lo studio Mercurio\, ed ExoMars\, che porterà un rover au tomatico su Marte . L’Italia è stata protagonista anche nelle missioni Cassini-Huygens (che ha studiato il sistema di Saturno) e Rosetta\, dedica ta allo studio della cometa Churyumov-Gerasimenko) e sarà a bordo delle p rossime sonde europee dedicate allo studio degli esopianeti\, Cheops e Pla to.\n\n\n\nL’esplorazione del Sistema Solare\, iniziata negli anni Sessa nta con la corsa alla Luna\, si è rivolta a partire dal decennio successi vo prima ai pianeti più vicini e più simili alla Terra\, Venere e Marte\ , per raggiungere progressivamente tutti gli altri corpi e i confini estre mi del sistema. L’Italia e l’ASI contribuiscono da almeno due decenni in maniera determinante alle più grandi missioni internazionali in questo campo.\n\nStrumenti scientifici italiani sono presenti su sonde americane ed europee come Mars Express\, TGO e MRO (in orbita attorno a Marte)\, Be piColombo\, per lo studio Mercurio\, ed ExoMars\, che porterà un rover au tomatico su Marte . L’Italia è stata protagonista anche nelle missioni Cassini-Huygens (che ha studiato il sistema di Saturno) e Rosetta\, dedica ta allo studio della cometa Churyumov-Gerasimenko) e sarà a bordo delle p rossime sonde europee dedicate allo studio degli esopianeti\, Cheops e Pla to. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:FOSS4G nell'esplorazione del Sistema Solare: strumenti\, strategie e prospettive - Alessandro Frigeri URL:https://talks.osgeo.org/foss4g-it-2023/talk/LKRMHL/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-7GAFTE@talks.osgeo.org DTSTART;TZID=GMT:20230615T143000 DTEND;TZID=GMT:20230615T144500 DESCRIPTION:# Faunalia Toolkit QGIS plugin\n\n**Faunlia Toolkit** è un nuo vo plugin sviluppato in Python per QGIS. Il plugin aggiunge un provider al la toolbox di Processing in modo da sfruttare tutte le caratteristiche ana litiche già presenti in QGIS come la possibilità di aggiungere gli algor itmi in un modello\, eseguire gli algoritmi in modalità batch\, usufruire dell'esecuzione in background e sfruttare appieno il comando `qgis_proces s` per lanciare gli algoritmi in modalità *headless* (senza la necessità di avviare QGIS).\n\n**Faunalia Toolkit** comprende una suite di algoritm i geografici\, analitici e di scaricamento dati. Grazie al framework molto semplice è facilmente mantenibile e aggiornabile\, oltre a essere molto facile da utilizzare per gli utenti.\n\nTi sei mai chiesto dov'è l'antipo de della tua città? Fra gli algoritmi geografici troviamo la possibilità di creare l'antipode partendo da una coppia di coordinate oppure a partir e da un layer puntuale.\n\nPotrai scaricare i dati climatici ERA5-Land del progetto Copernicus (https://cds.climate.copernicus.eu/cdsapp#!/dataset/r eanalysis-era5-land?tab=overview) dal 1950 ad oggi tramite una semplicissi ma interfaccia grafica che usa la libreria Python *cdsapi* sviluppata prop rio da Copernicus. I dati restituiti sono in formato *grib* ed è possibil e sfruttare il meccanismo temporale di QGIS per animare la mappa in funzio ne di data e ora.\n\nPotrai usare QGIS come vero e proprio servizio meteor ologico del presente\, ma anche del passato. Grazie alle fantastiche API d el servizio Free Weather (https://open-meteo.com/) potrai scaricare i dati meteorologici di tutto il mondo dal 1940 ad oggi con una risoluzione di 2 km. Sempre grazie alle stesse API\, potrai avere un bollettino delle previ sioni meteo fino a 7 giorni fino a 40 variabili meteorologiche!\n\nUn altr o algoritmo\, focalizzato sull'analisi vettoriale\, ti permetterà di otte nere rapide statistiche (media\, mediana\, deviazione standard\, etc )di u no o più campi di un layer puntuale i cui punti sono contenuti all'intern o di un poligono.\n\nInfine\, grazie alla libreria *pandas*\, Faunalia Too lkit ti permette di trasformare *da wide a long* la tabella degli attribut i di un layer vettoriale.\n\nIn futuro aggiungeremo ulteriri algoritmi a q uesta "scatola degli attrezzi". DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Faunalia Toolkit QGIS plugin - Matteo Ghetta URL:https://talks.osgeo.org/foss4g-it-2023/talk/7GAFTE/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-G7UQEK@talks.osgeo.org DTSTART;TZID=GMT:20230615T144500 DTEND;TZID=GMT:20230615T150000 DESCRIPTION:G3W-SUITE è un'applicazione modulare client-server (basata su QGIS-Server) per la gestione e la pubblicazione di progetti cartografici Q GIS interattivi di varia natura in modo totalmente autonomo\, semplice e v eloce.\n\nL'amministrazione degli accessi\, la consultazione dei progetti\ , le funzioni di editing e l'utilizzo dei diversi moduli si basano su un s istema gerarchico di profilazione degli utenti\, aperto alla modifica e al la modulazione.\n\nLa suite è composta da due componenti principali: G3W- ADMIN (basato su Django e Python) come interfaccia di amministrazione web e G3W-CLIENT (basato su OpenLayer e Vue) come client cartografico che comu nicano attraverso una serie di API REST.\n\nL'applicazione\, rilasciata su GitHub con Mozilla Public License 2.0\, è compatibile con le versioni LT R di QGIS e si basa su una forte integrazione con le API di QGIS.\n\nQuest a presentazione fornirà una breve storia dell'applicazione e approfondime nti sui principali sviluppi del progetto nell'ultimo anno\, tra cui:\n- nu ove funzioni di editing e maggiore integrazione con strumenti e widget di QGIS al fine di semplificare la predisposizione di sistemi di gestione car tografica web\n- gestione dei progetti QGIS embeddati\n- gestione dei dati WMS-T e MESH e integrazione della funzione TemporalController\n- gestione on/off per le singole categorie di simbologia come in QGIS\n- integrazion e dell'API di elaborazione QGIS per consentire l'integrazione dei moduli Q GIS di Processing ed eseguire analisi geografiche online\n- gestione strut turata per la consultazione dei log su tre livelli: G3W-SUITE\, QGIS-SERVE R e DJANGO\n\nIl talk\, corredato da esempi di applicazione delle funziona lità\, è dedicato sia agli sviluppatori che agli utenti di vario livello che vogliono gestire la propria infrastruttura cartografica basata su QGI S DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Integrazione tra G3W-SUITE e QGIS: stato dell'arte\, ultimi svilupp i e prospettive future - Walter Lorenzetti URL:https://talks.osgeo.org/foss4g-it-2023/talk/G7UQEK/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-NYF3BX@talks.osgeo.org DTSTART;TZID=GMT:20230615T150000 DTEND;TZID=GMT:20230615T151500 DESCRIPTION:progettoPRO è un progetto per la raccolta e la condivisione de lle coordinate di punti materializzati sul territorio e misurati con strum entazione GNSS in modalità RTK o FAST-STATIC o STATIC. La condivisione av viene tramite la piattaforma QGISCloud con licenza CC BY NC\, pertanto tut ti i dati contenuti nel webGIS devono essere liberi. Le informazioni (attr ibuti) sono ricavabili direttamente sulla mappa web dedicata o tramite ser vizi OGC wms e wfs. L'obiettivo è quello di creare una maglia capillare d i caposaldi liberi\, senza alcun costo per l'utilizzatore. ProgettoPRO è anche una sorta di protesta riguardo gli oneri richiesti per le monografie dei punti geodetici IGM e catastali. ProgettoPRO è raggiungibile all'url http://progettopro.e42.it e i suoi confini sono limitati al territorio de l comune di Roma\, ma il progetto può essere copiato e attivato anche su altre realtà comunali.\nLa partecipazione è aperta a tutti\, purché le misurazioni avvengano con strumentazione professionale e si riferiscano a punti materializzati sul territorio. inoltre\, è obbligatorio fornire il file rinex delle misurazioni perché dev'essere condiviso e scaricabile da lla piattaforma webgis. L'idea di progettoPRO è ispirata ad OSM che ha lo scopo di creare la mappa del mondo\, progettoPRO vuole creare la maglia g eodetica libera.\nGli scopi principali di progettoPRO sono due:\n- essere una rete di appoggio per le misurazioni topografiche tradizionali (stazion e totale) al fine di georeferenziare misure che hanno coordinate locali\, fornendo un valido aiuto a chi non possiede una strumentazione GNSS\;\n- c reare una rete di raffittimento tramite misure topografiche appoggiate ai punti GNSS\, al fine di ottenere una maglia di caposaldi in zone di canyon urbani o zone di forte copertura dovuta dagli alberi\, le quali sarebbero da ostacolo alle misurazioni GNSS. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:progettoPRO Punti di Riferimento Open - Fabio Zonetti URL:https://talks.osgeo.org/foss4g-it-2023/talk/NYF3BX/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-UUVT9W@talks.osgeo.org DTSTART;TZID=GMT:20230615T151500 DTEND;TZID=GMT:20230615T153000 DESCRIPTION:Facendo riferimento a vari casi di studio\, la presentazione il lustrerà come l'applicativo G3W-SUITE permetta\, in modo semplice ma raff inato\, di predisporre gestionali cartografici per la gestione del dato ge ografico on line.\n\nA titolo di esempio verrà illustrato il caso di La R egione Lazio che utilizza da diversi anni un sistema basato sull'applicazi one G3W-SUITE e QGIS che le ha permesso\, non solo di pubblicare servizi w eb pubblici\, ma di predisporre sistemi di gestione cartografica web dedic ati al personale interno per la gestione degli aspetti territoriali di pro pria competenza.\n- gestione dei danni causati dalla fauna selvatica e rel ative procedure di indennizzo\n- pratiche di valutazione dell'impatto ambi entale\ngenetica del lupo\n- segnalazione di presenza di cinghiali nelle a ree urbane\n- nidi e spiaggiamenti di tartarughe marine\n - incidenti stra dali con la fauna selvatica\n\nLa stretta integrazione tra la suite e QGIS ha permesso di realizzare sistemi di gestione cartografica web caratteriz zati da:\n- numerose funzioni di editing geometrico\n- personalizzazione d ella struttura dei form di editing e di consultazione degli attributi\n- s emplificazione della compilazione degli attributi grazie alla possibilità di ereditare da QGIS: widget di editing\, vincoli di obbligatorietà e di unicità\, valori predefiniti\, forme condizionali e cascata drill down b asata su espressioni\n- possibilità di definire vincoli geografici in vis ualizzazione e modifica al fine di suddividere il territorio in base ad ar ee di competenza associate ai singoli utenti\n- possibilità di differenzi are i contenuti informativi accessibili in base a diversi utenti e ruoli\n analisi descrittiva dei dati tramite integrazione con i grafici realizzati con il plugin DataPlotly\n\nGrazie al contributo e finanziamento della Re gione Lazio dedicato allo sviluppo e all'integrazione con le funzionalità di QGIS relative all'editing dei dati\, G3W-SUITE si configura come un va lido strumento per la predisposizione di sistemi avanzati di gestione dei dati geografici sul web.\n\nA titolo di esempio\, riportiamo una serie di casi d'uso:\n- Agenzia per la Protezione dell'Ambiente della Regione Piemo nte: censimento danni post-evento e fruibilità\, gestione e rappresentazi one cartografica delle richieste di sopralluogo post-sisma\n- Parco Nazion ale del Gran Paradiso: gestione della segnaletica dei percorsi del parco\n - Regione Piemonte: predisposizione dei Piani di Protezione Civile\n- Agen zia per la Protezione dell'Ambiente della Regione Lombardia: Sistema Infor mativo Idrologico DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:G3W-SUITE e QGIS: una soluzione per creare gestionali cartografici web - Walter Lorenzetti\, Walter Lorenzetti URL:https://talks.osgeo.org/foss4g-it-2023/talk/UUVT9W/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-GNDBG7@talks.osgeo.org DTSTART;TZID=GMT:20230615T153000 DTEND;TZID=GMT:20230615T154500 DESCRIPTION:La sicurezza delle API è di importanza cruciale per impedire a ccessi non autorizzati e proteggere la privacy dei dati. Esistono diversi meccanismi per garantire la sicurezza delle API moderne\, tra cui le chiav i API\, OAuth2/OpenID Connect e JSON Web Tokens (JWT). Ognuno di questi me ccanismi offre un diverso livello di sicurezza e flessibilità\, a seconda delle esigenze dell'API.\n\nAnche nelle OGC Open API\, la sicurezza deve essere affrontata in modo standardizzato e agnostico. È qui che fastgeoap i\, un nuovo strumento open source\, entra in gioco. Progettato per essere un livello di autenticazione e autorizzazione sopra pygeoapi\, fastgeoapi offre un'infrastruttura protetta facilmente configurabile.\n\nIn questo t alk\, illustreremo come configurare e proteggere un pygeoapi vanilla con K eycloak e Open Policy Agent per pubblicare API OGC sicure in modo standard . Mostreremo come utilizzare fastgeoapi per offrire un'esperienza di auten ticazione e autorizzazione sicura e fluida per gli utenti delle API.\n\npy geoapi è un'implementazione in Python della suite di standard OGC API. È un'implementazione server open-source che fornisce un modo semplice per p ubblicare dati geospaziali sul Web utilizzando protocolli standard come HT TP e JSON.\n\nFastGeoAPI è un software open-source basato su FastAPI e py geoapi\, in grado di integrarsi con OpenID Connect provider (Keycloak\, WS O2\, etc) e Open Policy Agent. Grazie alle sue funzionalità\, FastGeoAPI rappresenta uno strumento estremamente utile per garantire la sicurezza de lle API\, ed offre un modo semplice e rapido per implementare adeguati liv elli di autenticazione e autorizzazione. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Come servire una OGC API protetta tramite pygeoapi - Antonio Cercie llo URL:https://talks.osgeo.org/foss4g-it-2023/talk/GNDBG7/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-LKWUH7@talks.osgeo.org DTSTART;TZID=GMT:20230615T163000 DTEND;TZID=GMT:20230615T164500 DESCRIPTION:Le alluvioni sono le pericolosità naturali più comuni che cau sano danni alle proprietà e perdita di vite umane. Esse possono avere imp atti diversi a seconda delle condizioni fisiche locali e del contesto soci o-economico della comunità impattata. Pertanto\, l'analisi della vulnerab ilità sociale diventa di primaria importanza per comprendere i principali fattori che influenzano la capacità di una specifica comunità ad antici pare\, far fronte e riprendersi da un evento calamitoso. Le alluvioni non sono prevedibili\, ma la valutazione della vulnerabilità insieme a misure di mitigazione e piani efficaci di gestione delle emergenze possono ridur ne l'impatto e facilitare le azioni di ripresa. In questo contesto\, tra l e strategie di mitigazione del rischio\, la mappatura della vulnerabilità sociale e delle zone più esposte alla pericolosità alluvionale è cruci ale nella fase di preparazione delle emergenze. \nIl presente lavoro indag a la correlazione tra pericolosità alluvionale e fattori socio-economici della Basilicata (Italia meridionale) attraverso un approccio statistico e geografico. All’interno del territorio nazionale\, la Basilicata rappre senta un hot-spot di dissesto idrogeologico\, in quanto quasi il 50% dei c omuni è esposto al rischio frane o alluvioni.\nTutto il database è stato costituito da dati esclusivamente open-source che hanno dato la possibili tà di investigare liberamente sia gli aspetto fisici delle pericolosità che le caratteristiche del tessuto demografico delle comunità potenzialme nte impattate. \nI risultati hanno evidenziato la presenza di 107.587 di a bitanti socialmente vulnerabili localizzati in aree ad alta pericolosità alluvionale. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Open data per l’analisi multidimensionale del rischio alluvionale - Isabella Lapietra URL:https://talks.osgeo.org/foss4g-it-2023/talk/LKWUH7/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-LVDCJ3@talks.osgeo.org DTSTART;TZID=GMT:20230615T164500 DTEND;TZID=GMT:20230615T170000 DESCRIPTION:This is the story of 2 twin projects (namely AIR-BREAK and USAG E) undertaken by Deda Next on dynamic sensor-based data\, from self-built air quality stations to the implementation of OGC standard compliant clien t solution. \n\nIn the first half of 2022\, within AIR-BREAK project (http s://www.uia-initiative.eu/en/uia-cities/ferrara)\, we involved 10 local hi gh schools to self-build 40 low-cost stations (ca. 200€ each\, with off- the-shelf sensors and electronic equipment) for measuring air quality (PM1 0\, PM2.5\, CO2) and climate (temperature\, humidity). After completing th e assembling\, in late 2022 stations were installed at high schools\, priv ate households\, private companies and local associations. Measurements ar e collected every 20 seconds and pushed to RMAP server (Rete Monitoraggio Ambientale Partecipativo = Partecipatory Environmental Monitoring Network - https://rmap.cc/). \n\nHourly average values are then ingested with Apac he NiFi into OGC’s SensorThings API (aka STA) compliant server of the Mu nicipality of Ferrara (https://iot.comune.fe.it/FROST-Server/v1.1/) based on the open source FROST solution by Fraunhofer Institute (https://github. com/FraunhoferIOSB/FROST-Server). \n\nSTA provides an open\, geospatial-en abled and unified way to interconnect Internet of Things (IoT) devices\, data and applications over the Web (https://www.ogc.org/standard/sensorthi ngs/). STA is an open standard\, it builds on web protocols and on OGC’s SWE standards and has an easy-to-use REST-like interface\, providing a un iform way to expose the full potential of the IoT (https://github.com/open geospatial/sensorthings/). \n\nIn second half of 2022\, within USAGE proje ct (https://www.usage-project.eu/)\, we released the v1 of a QGIS plugin f or STA protocol. \n\nThe plugin enables QGIS to access dynamic data from h eterogeneous domains and different sensor/IoT platforms\, using the same s tandard data model and API. Among others\, dynamic data collected by the M unicipality of Ferrara will be CC-BY licensed and made accessible from mun icipal open data portal (https://dati.comune.fe.it/). \n\nDuring the talk\ , a live demo will be showcased\, accessing public endpoints exposing meas urements (timeseries) about air quality (from EEA)\, water (BRGM)\, bicycl e counters\, traffic sensors\, etc. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Low-cost AirQuality stations + open standard (OGC SensorThings) + o pen data + open source (FROST + QGIS plugin for sensors) - Piergiorgio Cip riano\, Marika Ciliberti URL:https://talks.osgeo.org/foss4g-it-2023/talk/LVDCJ3/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-ZFZ7DH@talks.osgeo.org DTSTART;TZID=GMT:20230615T170000 DTEND;TZID=GMT:20230615T171500 DESCRIPTION:The new concept of Digital Twins (DT) as a city model is interl inked with the Smart City applications on many levels\, like interactivity between virtual model and real world\, simulations and analysis of presen t and planned city\, emergency planning and management to mention a few. T he strength of DT is related to the incorporation of time as a fourth dime nsion\, considering the time as a variable that modifies the data and the semantic information. The aim of this emerging concept DT is provide a ph ysical infrastructure\, data\, information and procedures for the manageme nt of a complex system\, in order to offer to the public administration a platform for designing\, testing\, simulations and analysis of present and planned city\, and offer through web-sharing high quality urban 3D model as open data to all operators in Open Source (OS) environments. There are several applications to share on the web a 3D model\, but the lack of a de tailed and adequately sized development platform is a bottleneck in this c ontest. The purposes of this work are based on the Torino DT project\, sou rce data for the 3D model had been acquired from images and point clouds d ata sets from 2022. The first step after the acquisition phase have been t he source data processing\, in order to build up a 3D model of the entire city. There have been rapid technological developments in the field of pho togrammetric and LiDAR techniques to produce detailed and accurate 3D mode ls. 3D point clouds from the state of the art LiDAR and photogrammetry pro vides a powerful collection of geometric elements of a scene with their po sition\, orientation and shape in the 3D space. There are numerous compute r vision programs like 3D Zephyr\, VisualSfM\, meshroom\, WebODm etc which offers OS solutions for the 3D reconstruction processing from 2D images. The processing capabilities of these open source solutions are comparable as compared to the commercial ones in terms of geometric features and inf ormation. These open source tools are adequate for the research purposes t o explore the potential of 3D models from photogrammetry and LiDAR. 3D mod el is based on a reality mesh model with a specific and well-known work-fl ow. The next step is share\, part of\, the 3D model in OS environments tha t can be accessed with JavaScript code like Cesium platform. 3D web platfo rms analyzed in this work reflect the ever greater interest in OS software \, interoperability and collaboration standards\, in order to work in the openness ecosystem. This research field open the way to new opportunities\ , for instance DT as Open Data. The free availability of an urban 3D model \, build up from the reality\, could create a new order of opportunity for future model updates or utilizations\, especially for real estate operato rs. Furthermore\, particular attention has been paid to model update with collaborative and crowdsourcing solutions\, with the perspective to develo p a community able to use and update the 3D model. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:From real to virtual: sharing a urban 3d model as open data in open source environments - Luigi LA RICCIA\, Vittorio Scolamiero\, Yogender Ya dav URL:https://talks.osgeo.org/foss4g-it-2023/talk/ZFZ7DH/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-AKMEXB@talks.osgeo.org DTSTART;TZID=GMT:20230615T171500 DTEND;TZID=GMT:20230615T173000 DESCRIPTION:DigiAgriApp è un'applicazione client-server per gestire divers i tipi di dati relativi ai campi agricoli. È in grado di memorizzare info rmazioni sulle colture (specie\, forme/sistemi di coltivazione...)\, quals iasi tipo di dato di sensori (inclusi sensori e dispositivi hardware\, met eo\, terreni...)\, informazioni sull'irrigazione (tipo di sistema\, apertu re...)\, operazioni sul campo (potatura\, sfalcio\, trattamenti...)\, dati da telerilevamento (presi da diversi dispositivi come cellulari\, droni\, satelliti) e quantità di produzione.\n\nIl server DigiAgriApp è compost o da un database PostgreSQL/PostGIS e da un servizio API REST per interfac ciarsi con esso. Il server è sviluppato utilizzando Django e l'estensione del framework Django REST\, altre estensioni minori sono utilizzate per c reare l'API REST. Questo servizio rappresenta l'interfaccia chiave tra il database e il client. Per creare l'API abbiamo scelto una modalità annida ta\, in cui l'elemento principale è l'azienda agricola\; in questo modo l 'utente può vedere solo le aziende agricole a lui correlate e da lì può guardare ad altri elementi annidati\, prima di tutto i campi dell'azienda agricola e poi altri elementi come i dati dei sensori e quelli remoti opp ure altri sottocampi\, le file fino ad arrivare alle singole piante. L'API REST utilizza JavaScript Object Notation come formato di input e output p er semplificare e standardizzare la comunicazione con essa.\n\nPer ottener e i dati dai sensori\, il server è composto anche da un numero crescente di servizi per lavorare con i fornitori di dati\, di cui attualmente solo alcuni sono implementati. Il Message Queue Telemetry Transport provider è un demone in continuo ascolto di un broker e di diversi topic per ottener e i dati non appena vengono forniti\; il secondo servizio già implementat o è relativo ai dati di telerilevamento e utilizza la specifica SpatioTem poral Asset Catalogs per ottenere i dati. STAC è un linguaggio comune per descrivere le informazioni geospaziali\, in modo che possano essere più facilmente lavorate\, indicizzate e scoperte.\n\nIl lato client invece è sviluppato utilizzando Flutter\, un kit di sviluppo software open-source p er interfacce grafiche basato su dart\, un linguaggio di programmazione pr ogettato per lo sviluppo di client. Flutter è in grado di creare applicaz ioni multipiattaforma ed è stato scelto proprio per la sua capacità di r ealizzare applicazioni che possano essere eseguite sulle maggiori piattafo rme.\n\nTutto il codice è rilasciato come software libero e open source c on licenza GNU General Public License Version 3\; è disponibile nel repos itory DigiAgriApp su GitLab e l'applicazione client sarà pubblicata anche nei principali store per applicazioni mobili. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:DigiAgriApp: l'applicazione per la gestione dei tuoi campi agricoli - Luca Delucchi URL:https://talks.osgeo.org/foss4g-it-2023/talk/AKMEXB/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-9UWGEF@talks.osgeo.org DTSTART;TZID=GMT:20230616T093000 DTEND;TZID=GMT:20230616T094500 DESCRIPTION:Carlo Barletta\, Alessandra Capolupo\, Eufemia Tarantino\n\nNow adays\, data in an open format\, easily accessible and characterized by th e fact that they can be freely used and shared by anyone and for any purpo se\, play an important role due to the social and economic impact they can produce\, such as\, for instance\, the possibility of fostering the devel opment of new services based on them\, as well as the transparency and the democratic and participatory processes in public policies. In the field o f geographic information and Earth Observation (EO)\, the satellite images collected by Landsat and Sentinel initiatives are the most typical exampl e of open data. The former\, provided by National Aeronautics and Space Ad ministration (NASA) and United States Geological Survey (USGS)\, have a ge ometric resolution of 30m and have been accessible for decades\, whereas t he latter\, released by the European Union's Copernicus program\, have an accuracy of up to 10m and have been available since 2015. According to the literature\, both of them are useful for investigating and monitoring nat ural resources as well as environmental phenomena that occur on the Earth' s surface\, allowing for the assessment of numerous surface environmental variables on a local and regional scale. Among these\, the land surface al bedo\, which represents the capability of a surface to reflect incident so lar radiation\, is a useful parameter for climatic and hydrological studie s\, both in urban and rural contexts. Moreover\, the growing attention to the effects of climate change and urbanization on the environment and terr itory\, such as\, for example\, the Urban Heat Island (UHI) phenomenon\, d esertification\, and drought\, makes it necessary for these aforementioned sources of information to be freely and easily available to citizens\, re searchers and decision-makers.\n\n\nThe objective of this study is to esti mate the broadband land surface albedo and its spatial and temporal variab ility using accessible data from the Landsat 8 and Sentinel-2 satellites o ver two separate study areas: the city of Bari\, in Southern Italy\, and t he city of Berlin\, in North-eastern Germany. Because these two pilot site s have such disparate geomorphological features\, they allow generalizing of the research conclusion independent of environmental context. For this purpose\, various Landsat 8 and Sentinel-2 satellite images\, very close f or acquisition time and date\, and collected in different seasons\, from 2 018 to 2019\, were used. Furthermore\, the performance of the two implemen ted algorithms\, namely the Silva et al. approach for Landsat 8 data and t he Bonafoni et al. technique for Sentinel-2 data was assessed and statisti cally compared. Urban Atlas 2018 land use/land cover (LU/LC) class vector data\, provided in an open format by the Copernicus land monitoring servic e\, were used to better explore the variability of the albedo within each case study. These data were processed in the Google Earth Engine (GEE) pla tform\, which is free-to-use for research and non-commercial use\, and con sists of an integrated data catalogue mainly composed by open raster and v ector data\, e.g. Landsat and Sentinel images. Such catalogue\, daily upda ted\, is directly connected with the interactive programming environment\, on which it is possible to process satellite images by developing own cod es in JavaScript or Python languages. Most of its available tools are in o pen-source format. The statistical analysis\, on the other hand\, was carr ied out using the free and open-source R environment.\n\nFor both case stu dies\, the investigation revealed that the Landsat 8 approach produced som ewhat higher mean albedo values than the Sentinel-2 methodology. So far\, the statistical comparison indicated that\, for the Bari location\, all of the returned Landsat 8 and Sentinel-2 albedo maps were strongly correlate d\, with a correlation coefficient (ρ) higher than 0.84\; for Berlin\, in stead\, a medium-high correlation was discovered (ρ > 0.78). Additionally \, for both sites\, the findings appear to be more correlated when spring and summer scenarios are considered rather than other seasons. Indeed\, th e correlation between Landsat 8 and Sentinel 2 images appears to follow th e same seasonal pattern\, though more satellite images from more years sho uld be investigated for a more accurate interpretation. The dependability of the two approaches will be evaluated in the future through the collecti on of ground control points in field data campaigns. These new data will e nable the most accurate findings to be detected and the other methods to b e calibrated to increase their reliability. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Open multitemporal Earth Observation data for land surface albedo e stimation in urban areas - Alessandra Capolupo\, Carlo Barletta URL:https://talks.osgeo.org/foss4g-it-2023/talk/9UWGEF/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-YFKDDS@talks.osgeo.org DTSTART;TZID=GMT:20230616T094500 DTEND;TZID=GMT:20230616T100000 DESCRIPTION:La necessità di ispezioni mirate alla documentazione delle con dizioni di ponti e viadotti evidenzia l’importanza di individuare strume nti per la condivisione ed elaborazione efficace di prodotti 3D georeferen ziati\, tramite tecnologie WebGL flessibili\, personalizzabili e accessibi li anche da utenti non specializzati. In particolare\, Potree (Schütz\, 2 016)\, libreria JavaScript open-source\, permette l’esplorazione di nuvo le di punti e mesh a supporto di procedure decisionali per la manutenzione e il monitoraggio delle infrastrutture stradali (Gaspari et al.\, 2022).\ n\nIn questo contesto si è articolata la collaborazione con le province d i Piacenza e di Brescia con lo sviluppo di piattaforme web personalizzate per l’esplorazione di modelli 3D georiferiti di ponti rilevati tramite l aser scanner e fotogrammetria da drone. Lo studio si è focalizzato in par ticolare sull’identificazione e implementazione in ambiente Potree di fu nzioni utili sia alla documentazione della geometria del ponte che alla co mpilazione di schede difettologiche\, come richiesto dalle “Linee guida per la classificazione e gestione del rischio\, la valutazione della sicur ezza ed il monitoraggio dei ponti esistenti” del Ministero delle Infrast rutture e dei Trasporti (MIT\, 2020).\n\nIn risposta alle necessità degli enti gestori\, è stata quindi definita una struttura standard per la pia ttaforma web condivisibile\, Potree platfOrm for iNfrasTructure Inspection (PONTI)\, comprendente 3 funzionalità essenziali personalizzabili: visua lizzazione della nuvola di punti della struttura rilevata\, caricamento de lle immagini orientate sul modello\, posizionamento di annotazioni in corr ispondenza di elementi significativi della struttura. Il template e le sue istruzioni sono liberamente accessibili in un repository Github dedicata (https://github.com/labmgf-polimi/ponti). \n\nL’inserimento nel Web view er di Potree della nuvola di punti\, sia in visualizzazione RGB che classi ficata per elementi strutturali\, permette di utilizzare funzionalità di misurazione di coordinate\, lunghezze e superficie utile sia alla compilaz ione di schede di censimento di Livello 0 che di attributi del livello “ Ponti e Viadotti” del Catasto Strade provinciale. Attraverso opportune m odifiche avanzate del codice JavaScript di Potree è inoltre possibile int egrare funzionalità di filtraggio della visualizzazione della nuvola per elemento strutturale di interesse.\n\nL’integrazione di immagini ad alta risoluzione acquisite da drone e opportunamente orientate rispetto al mod ello 3D permette di definire una modalità immediata e intuitiva per l’i dentificazione sia qualitativa che quantitativa dei difetti riscontrabili e della loro localizzazione sulla struttura\, come la presenza di infiltra zioni o di fessure (Ioli et al.\, 2022). Tale funzionalità si rivela part icolarmente efficace in caso di ponti con difficoltà di accesso al sito d el rilievo\, permettendo un’accurata ispezione visiva della struttura an che a posteriori.\n\nInfine\, l’utilizzo di annotazioni ed etichette pos izionate in corrispondenza di elementi strutturali di interesse comporta u na più immediata identificazione di componenti critiche del ponte. Un’u lteriore personalizzazione di questa funzionalità rende possibile anche l ’integrazione di azioni attivabili con click\, inserendo nel modello Pot ree cambi di prospettiva o collegamenti diretti ad archivi esterni per fac ilitare il download diretto di dati raccolti sul campo (es. immagini origi nali\, nuvola di punti etc.) e la loro associazione a schede di censimento come richiesto dalle Linee Guida.\n\nIn conclusione\, le funzionalità ba se del template forniscono un ambiente web user-friendly per l’esplorazi one del dato 3D e soprattutto per la sua valutazione condivisa\, senza ric hiedere il download locale di software dedicati né competenze avanzate di manipolazione del dato.\n\nEsempio di Potree implementato per la Provinci a di Piacenza: https://labmgf.dica.polimi.it/piacenzacs/lugagnano/\n\nBibl iografia\n\nGaspari\, F.\, Ioli\, F.\, Barbieri\, F.\, Belcore\, E.\, and Pinto\, L.\; Integration of UAV-LIDAR and UAV-photogrammetry for infrastru cture monitoring and bridge assessment\, Int. Arch. Photogramm. Remote Sen s. Spatial Inf. Sci.\, 2022\, XLIII-B2-2022\, 995–1002\, https://doi.org /10.5194/isprs-archives-XLIII-B2-2022-995-2022\n\nMIT\, (2020). Linee guid a per la classificazione e gestione del rischio\, la valutazione della sic urezza ed il monitoraggio dei ponti esistenti\n\nIoli\, F.\, Pinto\, A.\, and Pinto\, L.\; UAV photogrammetry for metric evaluation of concrete brid ge cracks\, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.\, 2022\, XLIII-B2-2022\, 1025–1032\, https://doi.org/10.5194/isprs-archives-XLII I-B2-2022-1025-2022.\n\nSchuetz\, M.\, 2016. Potree: Rendering Large Point Clouds in Web Browsers. Master’s thesis\, Technische Universitat Wien DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Potree platform for infrastructure inspection: una soluzione WebGL open-source a supporto del rilievo e dell’analisi difettologica di ponti e viadotti - Federica Gaspari URL:https://talks.osgeo.org/foss4g-it-2023/talk/YFKDDS/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-JVMCCF@talks.osgeo.org DTSTART;TZID=GMT:20230616T100000 DTEND;TZID=GMT:20230616T101500 DESCRIPTION:La fotogrammetria è una delle tecniche più affidabili per gen erare dati topografici ad alta risoluzione\, e risulta fondamentale per la mappatura del territorio e il rilevamento dei cambiamenti delle forme del terreno\, soprattutto in aree ad alto rischio idro-geomorfologico. In par ticolare\, la “Structure from Motion (SfM)” è una tecnica fotogrammet rica di rilievo topografico che affronta il problema della determinazione della posizione 3D dei descrittori di immagini per generare strutture trid imensionali. Grazie alle potenzialità del processo SfM e allo sviluppo di “Unmanned Aerial Vehicle (UAV)” che garantiscono l’acquisizione on- demand di immagini aeree ad alta risoluzione\, è possibile rilevare ampie aree della superficie terrestre e monitorare fenomeni attivi attraverso i ndagini multitemporali. Pertanto\, questi strumenti rappresentano elementi chiave per affrontare le variabili geomorfologiche ed idrologiche in un s istema dinamico come quello fluviale\, al fine di comprendere con precisio ne il livello di pericolosità da eventi di instabilità (pericolosità di esondazione). Tuttavia\, lo sviluppo di nuove tecniche di mappatura da UA V (ad es. missioni di volo in BVLOS) legate alla crescente necessità di r ilevare aree più ampie ad alta risoluzione per una migliore comprensione dei processi fluviali\, può comportare l’acquisizione di grandi set di dati e limitare il processo fotogrammetrico a causa della necessità di ri sorse di calcolo ad alte prestazioni (High-performance computing). \nUno d ei principali aspetti investigati in questo lavoro riguarda l’implementa zione di un workflow fotogrammetrico basato su Free Open Source Software ( FOSS)\, in grado di restituire diversi output ad alta risoluzione e di ges tire grossi dataset in tempi ragionevoli\, attraverso la distribuzione deg li step computazionali più onerosi su cluster di calcolo ospitati dal dat a center ReCaS-Bari. I risultati sono forniti in termini di valutazioni di performance basate su differenti configurazioni di calcolo dei cluster e setup degli step del workflow. \nD’altra parte\, è stata investigata l ’influenza di output ad alta risoluzione derivanti dal processo SfM sull e analisi di pericolosità idro-geomorfologica\, fornendo un approccio ori ginale di valutazione probabilistica della pericolosità. \nIn conclusione \, è stato verificato l’elevato valore di un sistema integrato UAV-SfM- HPC e degli output risultanti nella gestione efficace degli ambienti alluv ionali e\, nello specifico\, nel monitoraggio di dettaglio delle variabili idro-geomorfologiche che risultano fondamentali per valutare gli scenari futuri di instabilità e per pianificare tempestivamente le attività di g estione delle emergenze in caso di eventi catastrofici\, con un significat ivo risparmio di tempi e costi. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Applicazioni di UAV e tecniche SfM per valutare la pericolosità id ro-geomorfologica in un sistema fluviale - Marco La Salandra URL:https://talks.osgeo.org/foss4g-it-2023/talk/JVMCCF/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-ZMBNZW@talks.osgeo.org DTSTART;TZID=GMT:20230616T101500 DTEND;TZID=GMT:20230616T103000 DESCRIPTION:Al giorno d’oggi l'utilizzo di dispositivi GNSS è una pratic a comune per molte attività grazie alla diffusione di questi strumenti e alla miniaturizzazione di chipset e antenne. A causa della riduzione dei c osti di produzione\, gli strumenti GNSS a basso costo sono impiegati e uti lizzati per molteplici attività\, non solo a livello accademico o di rice rca\, ma anche per scopi professionali.\nUno dei punti chiave è la necess ità di raggiungere soluzioni di posizionamento sempre più affidabili\, m olto spesso in tempo reale\, considerando brevi intervalli di tempo per ot tenere un alto livello di precisione e accuratezza. Una delle tecniche pi ù comuni e ancora in fase di sviluppo è il Precise Point Positioning (PP P)\, ma richiede pochi minuti per raggiungere una soluzione di convergenza al fine di ottenere un livello di precisione centimetrico. Un'altra possi bile tecnica di posizionamento è il posizionamento Network Real-Time Kine matic (NRTK)\, che è stato sviluppato a partire dagli ultimi quindici ann i. Basata sullo sfruttare la presenza di stazioni permanenti GNSS\, questa metodologia offre la possibilità di estendere il classico posizionamento cinematico in tempo reale (RTK) per baseline anche superiori a 40 km. Ci ò ha aumentato l'impiego di dispositivi GNSS a basso costo per molte atti vità pratiche\, dal monitoraggio di versanti fino al posizionamento di pr ecisione\, anche utilizzando dispositivi mobili come smartphone e tablet.\ nTuttavia\, queste infrastrutture non sono diffuse ovunque: anche in quest o caso\, il costo per realizzare una rete “tradizionale” (composta da dispositivi geodetici) è relativamente alto\, e talvolta potrebbe non ess ere disponibile\, soprattutto in aree in via di sviluppo. Per questo motiv o\, un'interessante alternativa è verificare la fattibilità di utilizzo di dispositivi GNSS a basso costo come stazioni permanenti\, analizzando a nche le prestazioni di posizionamento di ricevitori rover anche a basso co sto.\nIn questo contesto è stato indagato il progetto Centipede RTK: si t ratta di un progetto collaborativo e open-source che mira a creare una ret e di stazioni GNSS aperte disponibili a chiunque in una specifica area di copertura. La rete è composta da stazioni GNSS installate su enti pubblic i o in aree di proprietà di utenti privati. Questa rete è composta da pi ù di 280 stazioni permanenti\, la maggior parte dei quali copre l'area fr ancese\, mentre alcuni altri si trovano in paesi europei (ad esempio\, Ita lia\, Polonia\, Svizzera\, Serbia\, Slovenia\, Germania) oltre che nell'is ola di Réunion\, nell'Oceano Indiano. Il progetto è sostenuto finanziari amente dall'INRAE e ha beneficiato sin dal suo avvio nel 2019 di risorse c ondivise tra istituti di ricerca\, enti pubblici e aziende private.\nUno d ei principali limiti di questo progetto è che questa rete non può fornir e correzioni differenziali in termini di prodotti di rete (come le correzi oni VRS)\, ma fornisce solo correzioni da singola stazione. In questo lavo ro\, partendo da queste stazioni\, gli autori hanno implementato un sistem a che utilizza questi dati come input per il software di rete\, per raggiu ngere un servizio open-source basato su dispositivi GNSS a basso costo.\nS ono state quindi eseguite due campagne di misurazione per testare le prest azioni ottenibili in termini di precisione ed accuratezza\, considerando p osizionamenti sia statici che dinamici\, quali posizionamenti pedestri o v eicolari. Al fine di rendere rappresentative le analisi svolte\, sono stat i testati sia dispositivi geodetici che sensori a basso costo come rover p er analizzare i risultati ad oggi ottenibili.\nL’intenzione è quella di mostrare le potenzialità di infrastrutture come quella testata\, cercand o di invogliare gli utenti dell’Associazione GFOSS.it APS e della comuni tà italiana a contribuire ad un progetto che potrà apportare benefici a differenti livelli\, sia scientifici che professionali. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Una rete GNSS open-source di strumenti a basso costo per il posizio namento NRTK: quale futuro e quali prestazioni? - Paolo Dabove URL:https://talks.osgeo.org/foss4g-it-2023/talk/ZMBNZW/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-ZUYXVM@talks.osgeo.org DTSTART;TZID=GMT:20230616T110000 DTEND;TZID=GMT:20230616T111500 DESCRIPTION:L'accessibilità degli spazi pubblici è un tema riconosciuto c ome prioritario nella gestione delle città. A livello nazionale\, la legg e 41/1986 ha introdotto il Piano di Eliminazione delle Barriere Architetto niche (PEBA) come strumento di pianificazione e programmazione dell'access ibilità\, disciplinato in seguito da alcune regioni con leggi e delibere regionali.\nNel 2019 a Padova è stato approvato il PEBA comunale\, che è stato il primo caso di un PEBA che ha usato e integrato direttamente Open StreetMap come base di dati per l'analisi dello stato di fatto dell'access ibilità negli spazi urbani. Lo stesso approccio è stato recentemente ado ttato in altri tre comuni\, nei quali l'analisi è ancora in corso.\nQuest o contributo vuole sintetizzare e presentare il flusso di raccolta dei dat i e gli strumenti aperti utilizzati per l'analisi dell'accessbilità urban a\, a partire dai dati di OpenStreetMap. In modo non esaustivo si elencano qui i principali: raccolta di immagini a livello strada con Mapillary per un archivio di immagini con licenza aperta focalizzate su marciapiedi e p ercorsi pedonali\; rilievo (anche partecipato) in campo con applicazioni s martphone (e.g. OsmAnd) per raccolta di note vocali e fotografiche e con s trumentazione (cordella metrica\, livella) per rilievi di dettaglio di ele menti sull'accessibilità (caratteristiche fisiche di marciapiedi e attrav ersamenti\, ostacoli\, gradini)\; arricchimento del database OpenStreetMap con le informazioni raccolte usando strumenti di editing da smartphone (e .g. Vespucci) o da computer (e.g. JOSM\, iD) e un sistema di tagging conso lidato\; utilizzo di software GIS open source (QGIS) per l'analisi e la ra ppresentazione delle informazioni sull'accessibilità attraverso una proce dura automatizzata tramite un modello di processing.\nL'obiettivo è di fo rnire un vademecum pratico per il supporto alla redazione e aggiornamento dei PEBA che possa essere usato e adattato/migliorato. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Consigli pratici per la mappatura dell'accessibilità con OpenStree tMap e strumenti aperti - Alessandro Sarretta\, Elena De Toni URL:https://talks.osgeo.org/foss4g-it-2023/talk/ZUYXVM/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-9JWSPR@talks.osgeo.org DTSTART;TZID=GMT:20230616T111500 DTEND;TZID=GMT:20230616T113000 DESCRIPTION:Questo intervento intende presentare due casi pratici che rigua rdano l'utilizzo di Wikipedia e Open Street Map per la conoscenza e la div ulgazione del patrimonio culturale\, proponendoli come modelli replicabili .\n• Il primo caso si riferisce ai laboratori svolti all'interno del Cor so in Digital Humanities del Dipartimento di Lingue e Letterature Stranier e dell’Università di Verona: "Wikipedia per la divulgazione internazion ale del patrimonio culturale". Questi laboratori\, che hanno avuto inizio nel 2021\, si concentrano sulla traduzione dalle lingue straniere all'ital iano di pagine Wikipedia relative alla viabilità antica\, ovvero tratti s tradali\, ponti\, viadotti\, miliari\, infrastrutture e strutture viarie. Finora sono state tradotte circa 100 pagine da Wikipedia Inglese\, Frances e\, Spagnola\, Tedesca e Russa a Wikipedia in lingua italiana. Le pagine v engono mano a mano censite e inserite in una mappa online della viabilità antica\, consultatile\, scaricabile e riutilizzabile con licenza libera. Nel corso dell'intervento verrà presentata la struttura dei laboratori\, considerati un modello riproducibile per favorire la circolazione della co noscenza del patrimonio culturale a livello transnazionale\, nonché i ris ultati raggiunti e i progetti di sviluppo futuri.\n• Il secondo caso rig uarda invece un progetto di Public Archaeology svolto nel 2017 in collabor azione con la Soprintendenza Archeologia Belle Arti e Paesaggio per le pro vince di Verona Rovigo e Vicenza\, che sarà ampliato nel 2023 grazie al c ontributo economico di Wikimedia Italia (bando volontari 2023) e al sosteg no della Soprintendenza. Nel corso dell'intervento verranno illustrati il progetto già svolto\, considerato anch'esso un modello riproducibile\, i risultati conseguiti\, tra cui le statistiche di visita dei beni culturali prima e dopo la creazione delle pagine Wikipedia\, e il progetto in corso .\nLink di riferimento\n• Primo caso di studio:\n◦ Pagina del progetto (2022-2023): https://it.wikipedia.org/wiki/Progetto:Coordinamento/Univers ità/UniVR/Laboratori_Wikimedia_2022-2023\n• Secondo caso di studio:\n ◦ Presentazione dell’esperienza 2017 (Workshop “digitalizzazione e r iproduzione dei beni culturali: aggiornamenti normativi”\, Verona\, 04 n ovembre 2022): https://github.com/piergiovanna/DigitalBeniCulturali/blob/m ain/Grossi-fruizione-pubblica-wikipedia.pdf\n◦ Progetto in corso: Wiki pedia per la valorizzazione del patrimonio archeologico (finanziamento ban do volontari 2023): https://wiki.wikimedia.it/wiki/Bando_2023_per_progetti _dei_volontari_/Wikipedia_per_la_valorizzazione_del_patrimonio_archeologic o DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Wikipedia e Open Street Map per la divulgazione e la conoscenza del patrimonio culturale: due casi di studio - Piergiovanna Grossi URL:https://talks.osgeo.org/foss4g-it-2023/talk/9JWSPR/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-GEKF38@talks.osgeo.org DTSTART;TZID=GMT:20230616T113000 DTEND;TZID=GMT:20230616T114500 DESCRIPTION:La raccolta\, la cura e la pubblicazione di informazioni territ oriali è stata per secoli prerogativa esclusiva delle organizzazioni del settore pubblico. Tuttavia\, più recentemente sono emerse nuove fonti dat i (ad esempio dal settore privato e generati dai cittadini) che mettono se mpre più in discussione il ruolo del settore pubblico come figura predomi nante nella produzione cartografica. In risposta a ciò\, gli enti cartogr afici governativi stanno progressivamente esplorando nuove modalità di ge stione\, creazione e aggiornamento dei loro set di dati territoriali. \nU n numero via via crescente di iniziative del settore privato (su tutti Mic rosoft\, Facebook\, Amazon e la recente Overture Maps Foundation) producon o dataset di grande rilevanza al fine di migliorare la copertura delle inf ormazioni territoriali governative esistenti attraverso il rilascio di da ti aperti generati e fortemente dipendenti da OpenStreetMap (OSM). \nRece ntemente\, l'Istituto Geografico Militare (IGM\, uno degli enti cartografi ci governativi in Italia) ha rilasciato un dataset multistrato\, chiamato "Database di Sintesi Nazionale" (DBSN\, https://www.igmi.org/en/dbsn-datab ase-di-sintesi-nazionale)\, che ha lo scopo di includere informazioni terr itoriali rilevanti per l'analisi e la rappresentazione a livello nazionale per ricavare mappe alla scala 1:25.000 attraverso procedure automatiche. La creazione del DBSN si basa su diverse fonti informative\, con i dati ge otopografici regionali come fonte primaria di informazioni e i prodotti di altri enti pubblici nazionali (ad esempio le mappe catastali) come fonti aggiuntive. Tra le fonti esterne utilizzate in input per il lavoro di inte grazione nel DBSN\, OSM è stato esplicitamente considerato e utilizzato. \nAttualmente\, il DBSN include dati che coprono 12 delle 20 regioni itali ane (Abruzzo\, Basilicata\, Calabria\, Campania\, Lazio\, Marche\, Molise\ , Puglia\, Sardegna\, Sicilia\, Toscana\, Umbria). I dati per le regioni r estanti saranno rilasciati nei prossimi mesi. \nUno degli elementi di novi tà\, almeno nel contesto italiano\, è il rilascio del DBSN sotto licenza Open Database License (ODbL\, https://opendatacommons.org/licenses/odbl)\ , dovuto al fatto che l'inclusione dei dati OSM richiede che i prodotti de rivati siano rilasciati con la stessa licenza.\nLo schema DBSN\, che è un sottoinsieme delle specifiche definite nel “Catalogo dei dati territori ali - Specifiche di Contenuto per i DB Geotopografici” (Decreto 10 novem bre 2011) e che è composto da 10 layer\, 29 temi e 91 classi\, è stato c onfrontato con le specifiche di OpenStreetMap\, selezionando due temi prin cipali (edifici e strade)\, analizzati attraverso una serie di script Pyth on disponibili con licenza aperta https://github.com/napo/dbsnosmcompare.\ nIn primo luogo\, è stata analizzata la percentuale di edifici e strade n el database IGM in cui OSM è stato utilizzato come fonte primaria di info rmazioni. La percentuale di edifici derivati da OSM è minima\, con valori <2%\; per quanto riguarda le strade\, le differenze tra le regioni aument ano\, passando da quasi lo 0% a più del 90%. In secondo luogo\, è stata calcolata l'area coperta da edifici e la lunghezza delle strade nei databa se IGM e OSM per valutare la completezza di OSM rispetto al dataset uffici ale IGM. Nelle 12 regioni\, la superficie coperta dagli edifici in OSM è mediamente circa il 55% della corrispondente superficie in IGM\, mentre la percentuale della lunghezza delle strade è di circa il 78%\, con elevate differenze tra le regioni. Questi primi risultati mostrano che la princip ale fonte di informazioni nel DBSN (vale a dire i dati regionali ufficiali ) è molto variabile tra le 12 regioni\, il che ha richiesto all'IGM di tr ovare ulteriori fonti di dati per colmare le lacune. OSM svolge un ruolo s econdario nell'integrazione degli edifici nel database\, mentre dimostra u n alto potenziale per contribuire alle informazioni stradali. I risultati mostrano anche che alcuni elementi presenti in OSM non sono ancora inclusi nel DBSN. Ciò può essere dovuto ad almeno due motivi: (i) l'attuale flu sso di lavoro di selezione degli elementi in OSM (tramite tag) non include alcuni elementi potenzialmente rilevanti\; ii) l'aggiornamento (idealment e) quotidiano di OSM è in grado di arricchire il database con nuove infor mazioni con frequenze di aggiornamento non raggiungibili da parte di IGM e gli enti cartografici governativi in generale. Oltre ad evidenziare l'imp ortanza che OSM ha raggiunto come fonte di riferimento di informazioni ter ritoriali anche per gli enti governativi fornendo prove del suo contributo al database nazionale dell'IGM\, questo studio fornisce inoltre spunti pe r migliorare il database stesso di OSM attraverso l’importazione di dati dal DBSN\, beneficiando del rilascio del database con licenza ODbL. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:OpenStreetMap come fonte per la produzione di dataset governativi: il caso dell'Istituto Geografico Militare Italiano - Alessandro Sarretta URL:https://talks.osgeo.org/foss4g-it-2023/talk/GEKF38/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-LPXS9B@talks.osgeo.org DTSTART;TZID=GMT:20230616T114500 DTEND;TZID=GMT:20230616T120000 DESCRIPTION:Il database OpenStreetMap\, e i suoi "estratti" di cui ci occup eremo\, aumentano sempre più in grandezza\, contenendo sempre più dati.\ n\nNegli anni la comunità di sviluppatori ha prodotto diversi strumenti a riga di comando che senza dover gestire un database\, ma semplicemente sc aricando gli estratti disponibili in rete\, ci permettono di compiere nume rose azioni utili.\n\nVedremo come estrarre dati per categorie\, Bounding Box o poligoni vari\, o estrarre singoli oggetti conoscendone il loro ID.\ nPer le statistiche è possibile ottenere quali e quanti tag ha un estratt o.\nOppure possiamo ricavare uno snapshot in un tempo passato\, utilizzand o gli estratti "full history".\n\nOltre a questi comandi abbastanza noti ( osmosis\, osmconvert\, osmfilter\, osmium)\, esiste una collezione di prog rammi in Perl che ci permette di calcolare la lunghezza della rete stradal e o idrografica di un estratto.\nMa è pure possibile ottenere dei report\ , in formato html e grafico\, sui cambiamenti di un'area tra due date desi derate.\nCombinando alcuni di questi comandi è possibile monitorare in ma niera relativamente semplice aree molto grandi.\n\nNel caso del Landuse/La ndcoverpossiamo dare in pasto a QGIS gli estratti di queste sole caratteri stiche per eseguire verifiche topologiche.\n\nMolte delle operazioni qui d escritte possono essere compiute con strumenti online\, quali query overpa ss o attic\, ma necessitano di una buona conoscenza del linguaggio utilizz ato per strutturare le query. Gli strumenti qui descritti hanno sintassi a bbastanza semplici e non richiedono computer potenti. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:scaviamo nei dati OpenStreetMap con la riga di comando - Alessandro Palmas URL:https://talks.osgeo.org/foss4g-it-2023/talk/LPXS9B/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-UUFMGG@talks.osgeo.org DTSTART;TZID=GMT:20230616T120000 DTEND;TZID=GMT:20230616T121500 DESCRIPTION:Nato nell'aprile 2021\, "YouthMappers@Uniba" è un gruppo di ri cercatori e studenti del Dipartimento di Scienze della Terra e Geoambienta li dell'Università di Bari (Italia) appassionati di cartografia e di soft ware open-source. Il gruppo fa parte del network internazionale YouthMappe rs ed è il secondo capitolo nato in Italia dopo quello dei Polimappers de l Politecnico di Milano.\nDurante i due anni di attività\, i mappatori vo lontari pugliesi hanno sviluppato diversi progetti\, contribuendo a OpenSt reetMap (OSM). Uno in particolare ha riguardato la mappatura del territori o del Parco dell'Alta Murgia\, aggiungendo e modificando geo-itinerari e s iti di particolare interesse geologico\, naturalistico e storico. Il proge tto\, vincitore del Bando Volontari di Wikimedia Italia\, ha previsto l'ac quisizione di dati in situ\, la fotointerpretazione da immagini satellitar i e l'acquisizione di dati da UAV.\nIl gruppo ha inoltre partecipato ad al cuni progetti con studenti delle scuole superiori e medie nell'ambito dei PCTO: dopo una prima fase di formazione sui progetti Wikimedia (valori\, e diting\, copyright) e in particolare su Wikivoyage\, Wikimedia Commons e O penStreetMap\, gli studenti hanno raccolto dati nel centro di Bari attrave rso i Field Papers e il loro inserimento nei suddetti progetti\, anche in lingua inglese.\nOltre a questi progetti\, il lavoro dei mappatori si è c oncentrato sull'organizzazione di alcuni mapathon\, in particolare con gli studenti universitari del Dipartimento di Scienze della Terra e Geoambien tali\, partecipando anche a corsi per l'acquisizione di competenze trasver sali e di orientamento consapevole. DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:YouthMappers@Uniba: attività di mappatura in Puglia - Rosa Colacic co URL:https://talks.osgeo.org/foss4g-it-2023/talk/UUFMGG/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-GVHEXK@talks.osgeo.org DTSTART;TZID=GMT:20230616T140000 DTEND;TZID=GMT:20230616T160000 DESCRIPTION:Tavola rotanda "OpenStreetMap\, Wikimedia e FOSS4G: Sinergie e progetti comuni" DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Tavola rotanda "OpenStreetMap\, Wikimedia e FOSS4G: Sinergie e prog etti comuni" - Anisa Kuci URL:https://talks.osgeo.org/foss4g-it-2023/talk/GVHEXK/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-EVZ3ZG@talks.osgeo.org DTSTART;TZID=GMT:20230617T090000 DTEND;TZID=GMT:20230617T130000 DESCRIPTION:Per dettagli sul programma:\nhttps://wiki.openstreetmap.org/wik i/Italy/Events/GEOdaysIT_2023#Programma DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Giornata Comunitaria OSMit - parte 1 - Anisa Kuci URL:https://talks.osgeo.org/foss4g-it-2023/talk/EVZ3ZG/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-MDBVUD@talks.osgeo.org DTSTART;TZID=GMT:20230617T140000 DTEND;TZID=GMT:20230617T160000 DESCRIPTION:Mapathon by cOSMopolIT \n\nPer dettagli vedere il programma qui :\nhttps://wiki.openstreetmap.org/wiki/Italy/Events/GEOdaysIT_2023#Program ma DTSTAMP:20260609T143015Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Giornata Comunitaria OSMit - Mapathon - Anisa Kuci URL:https://talks.osgeo.org/foss4g-it-2023/talk/MDBVUD/ END:VEVENT END:VCALENDAR