Geodaysit 2023

A. Cenci
  • PRISMA Operational Activity Description
Abderrahim

Dr. Nemmaoui is graduated from the University Cadi Ayyad (Beni Mellal - Morocco) in Sciences and Techniques for the Environment Protection (2002). PhD, on November 2011 and on April 2020, from the University of Almeria (UAL). Since 2014, Dr. Nemmaoui is research hired in UAL and he is collaborating in different research projects.

  • AN AUTOMATIC AND EFFECTIVE PIPELINE FOR INDIVIDUAL TREE DETECTION AND SEGMENTATION USING LOW-DENSITY AIRBORNE LASER SCANNING DATA IN LARGE AREAS OF MEDITERRANEAN FOREST
ALBERICO SONNESSA
  • MTInSAR and ground-based geomatic observations for the analysis of displacements affecting an urbanized area
  • Principi base del sistema GNSS ed elaborazione di dati con un applicativo open-source
Alberta Pavone
  • Earth Observations applied to Critical Raw Materials supply chain
Alberto Cugnetto

Albert Cugnetto
After graduating in viticultural and oenological sciences, I obtained a PhD in viticulture. Currently I work as a wine consultant in the national and international fields. I work in the world of research by collaborating with various bodies and trade associations in the wine sector. Ordinary member of the Academy of Agriculture of Turin and aggregate member of the northwest section of the Georgofili Academy. I deal with various topics in research and development and, among these, there is the use of sensors in the field and the application of remote sensing techniques, to support the monitoring of vineyard variability in a precision farming perspective.

  • Monitoring the seeds phenolic maturity in Nebbiolo vineyard by means of NDVI index vs foliar NIR spectroscopy
  • Monitoring Erbaluce and Nebbiolo vineyards by means of Sentinel-2 NDVI index maps
Alberto Morea
  • Exploitation of Multi-Temporal InSAR data for Environmental Risk Assessment Services
  • Bright Target Detection on SAR Raw Data Based on Deep Convolutional Neural Networks
  • Real-Time Oil Spill Detection by Using SAR-Based Machine Learning Techniques
Alberto Refice
  • Analysis of DInSAR Displacement time series for monitoring slope instability
  • Probabilistic approach to the mapping of flooded areas through the analysis of historical time series of SAR intensity and coherence.
Alessandra Amoroso
  • Evolution of the surface waters of the Po river in the 2020-22 period - a quantitative analysis of the drought effects with Sentinel-2 images
Alessandra Bleve
  • Satellite Intelligence for proactive monitoring of the territory: the Rheticus Safeland service
Alessandra Capolupo
  • Open multitemporal Earth Observation data for land surface albedo estimation in urban areas
  • Development of a Photovoltaic System Extraction Index for the detection of large PV plants using Sentinel-2 images
  • Estimating the influence of building density bias on the accuracy of Global DEM of Differences in urban change analysis
  • Trasformare gli Open Data in informazioni utili per il monitoraggio ambientale e la gestione del territorio con i servizi Copernicus e Google Earth Engine.
Alessandro Farbo

Dott. Alessandro Farbo

PhD Student - SUSTNET (Unito)

Department of Agricultural, Forest and Food Sciences - DISAFA - University of Torino (Italy)

GEO4Agri Lab - Laboratorio di Geomatica e Telerilevamento Agro-Forestale del DISAFA

  • Remote sensing and Sentinel-2 data role within the Common Agricultural Policy 2023-2027
  • Pixel Mixture Issue in Mapping Vineyard Phenology. A Possible Solution Based on Sentinel-2 Imagery and Local Least Squares
Alessandro Frigeri
  • FOSS4G nell'esplorazione del Sistema Solare: strumenti, strategie e prospettive
Alessandro Iacopino
  • Investigating the Correlation between Sentinel-2 Multispectral Images and Ground-Based Field Measurements of Soil Moisture (Case Study: Mendatica, Liguria, Italy)
Alessandro La Rocca
  • Assessing Glacier Extent Changes through Machine Learning Algorithms and Remote Sensing Data
Alessandro Palmas

Contribuisce a OpenStreetMap da fine 2007.
Dal 2016 al 2018 Project Manager OSM per Wikimedia Italia (capitolo italiano della OpenStreetMap Foundation).
Da fine 2018 lavora presso la sezione GIS della base di supporto globale delle Nazioni Unite a Brindisi.

  • scaviamo nei dati OpenStreetMap con la riga di comando
  • l'editor JOSM - livello base/medio
Alessandro Sarretta
  • Consigli pratici per la mappatura dell'accessibilità con OpenStreetMap e strumenti aperti
  • OpenStreetMap come fonte per la produzione di dataset governativi: il caso dell'Istituto Geografico Militare Italiano
Alicandro Maria
  • Remote Sensing for structure and infrastructure monitoring: a review.
Amedeo Caprino
  • Structural monitoring of Cultural Heritage assets at urban and local scale through MT-InSAR
Andrea Ajmar

Andrea Ajmar, Ph.D., is an expert in the field of Spatial Data Science, geodatabase management and Spatial Data Infrastructure (SDI) development and implementation. He has a solid expertise in environmental management, gained during working experiences both for public and private sector: this expertise provided the correct user perspective, fundamental in the design of efficient and effective database structures and comprehensive SDI solutions. He was the responsible for the realization of UN WFP SDI, a dedicated infrastructure for emergency management in a complex distributed environment: high-availability and redundancy, federated database structures were therefore firstly introduced inside humanitarian organizations operating worldwide. He currently holds the position of fixed-term researcher at the Politecnico di Torino, with teaching positions in master's degrees and doctoral courses. It is part of the laboratory called SDG11Lab which aims to create a spatial data infrastructure capable of guaranteeing efficient access to data sources of general interest (e.g. satellite and airborne acquisitions, reference cartographic data, etc.) and to integrate them with specific thematic data, providing analysis, representation and visualization tools capable of responding to the needs of research teams.

  • Automatic analysis of detention camps in Xinjiang (PRC) using Nighttime Light remote sensing data
Andrea Barone
  • The use of satellite data for the knowledge of the territory: geological applications
Andrea Dilallo
  • GeoImagery: dal Copernicus Hub alla geo-business-intelligence
Andrea Genangeli
  • Investigating PLSR and RF for retrieving wheat crop traits in a field phenotyping experiment using full-range hyperspectral data: performance assessment and modelling interpretation
Angelo Doglioni
  • Study of interaction of slow landslide with infrastructures based on remote sensing technique
Angelo Zinzi
  • Exploiting PRISMA hyperspectral data for planetary science: remote characterization of paleo-hydrologic environments on the Earth and Mars.
Anisa Kuci
  • Tavola rotanda "OpenStreetMap, Wikimedia e FOSS4G: Sinergie e progetti comuni"
  • Giornata Comunitaria OSMit - parte 1
  • Giornata Comunitaria OSMit - Mapathon
Anna Palamidessi
  • Analysis and prevention of historical-cultural heritage instability using satellite radar interferometry
Anna Verlanti
  • A dual-polarimetric SAR processing chain for soil moisture retrieval
Annachiara Dell'Acqua
  • A GIS-BASED SPATIAL ANALYSIS FOR AGRICULTURAL PRUNING WASTE MANAGEMENT IN THE CIRCULAR ECONOMY PERSPECTIVE
  • Hyperspectral PRISMA and Sentinel-2 Preliminary Assessment Comparison in Archaeological Sites
Annamaria Conte
  • Earth Observation Data and Extreme Gradient Boosting Model: innovative methods predicting West Nile Virus Circulation in Italy
Annarita D’Addabbo(
  • Probabilistic approach to the mapping of flooded areas through the analysis of historical time series of SAR intensity and coherence.
ANTONELLA Marsico
  • Open data per le carte tematiche
  • L’approccio al software open source per il Gis: i concetti più ostici
Antonio Cerciello
  • Come servire una OGC API protetta tramite pygeoapi
Antonio Pepe
  • The use of satellite data for the knowledge of the territory: geological applications
Benedetta Gori
  • Evolution of the surface waters of the Po river in the 2020-22 period - a quantitative analysis of the drought effects with Sentinel-2 images
Beniamino Gioli
  • Assessing transferability of Gaussian Process Regression for Canopy Chlorophyll Content and Leaf Area Index estimation from Sentinel-2 data exploiting a multi-site, year and crop dataset
  • Investigating PLSR and RF for retrieving wheat crop traits in a field phenotyping experiment using full-range hyperspectral data: performance assessment and modelling interpretation
Bianca Federici
  • Investigating the Correlation between Sentinel-2 Multispectral Images and Ground-Based Field Measurements of Soil Moisture (Case Study: Mendatica, Liguria, Italy)
  • Sessione AUTEC DIDATTICA E RICERCA NELL’OSSERVAZIONE DELLA TERRA
Bianca Federici

Bianca Federici is Professor of Geomatics at the University of Genoa (Italy). She teaches in several courses related to surveying techniques and GIS, with special focus on FOSS solutions. Her research mainly concerns the analysis of geospatial data in GIS and remote sensing for environmental analysis, as well as surveying and monitoring of natural and built environments.
In collaboration with several multidisciplinary research groups, she has developed GIS tools for assessing the susceptibility of rainfall-triggered landslides to collapse, for forecasting intense weather events using GNSS measurements, for assessing collision risk in logistical areas, for identifying areas potentially inundated by rivers or tsunamis, for planning GNSS survey campaigns taking into account real obstacles in the area, as well as techniques for extracting seawater turbidity or bathymetry of shallow waters from optical satellite images. She has over 120 scientific research papers.
She is currently a member of the executive committee of GFOSS.it. She was co-chair of the FOSS4G 2022 international conference, she organized or participated in the organization of the Italian GRASS GIS Users Meeting in 2007 and 2013, the Italian OSMit2010 Conference and several Italian FOSS4G conferences since 2017. She has been a member of their scientific committees.

  • Sentinel-2 open data processing and morphodynamic modelling: an integrated approach to model sediment supply effects on rivers, estuarine and coastal areas
Calamai Stefano

esperto nella costruzione e gestione di banche dati spaziali e applicazione dei GIS alla gestione della fauna selvatica e all'analisi agronomica e ambientale

  • DATA COLLECTION FOR ASSESSMENT OF HAZARDOUS CONDITIONS AND ECOSYSTEM BENEFITS OF URBAN TREES USING QFIELD/QGIS
Carla Cesaraccio
  • Assessing transferability of Gaussian Process Regression for Canopy Chlorophyll Content and Leaf Area Index estimation from Sentinel-2 data exploiting a multi-site, year and crop dataset
  • Investigating PLSR and RF for retrieving wheat crop traits in a field phenotyping experiment using full-range hyperspectral data: performance assessment and modelling interpretation
Carla Ippoliti
  • Earth Observation Data and Extreme Gradient Boosting Model: innovative methods predicting West Nile Virus Circulation in Italy
Carlo Barletta
  • Open multitemporal Earth Observation data for land surface albedo estimation in urban areas
Carlo Camporeale
  • Vegetation Cover Classification of Coastal Sand Dune Ecosystems Using Ultra-High-Resolution UAS Imagery and Machine Learning Techniques
Carlo Masetto

I am an environmental engineer, with solid experience in environmental and territorial issues. I attended a post-graduate specialization course in GIScience and remote sensing for the territory management. Currently, I work as a GIS & remote sensing specialist at the Veneto Region - Territorial Planning Department - Cartographic Office.
Previously, I worked in the Municipality of Padua (Italy), as sustainable mobility & roads management and as technical employee in the HSE (Health, Safety, Environment) & Fire Prevention sector.
In my approach to work, it comes natural to me to deepen the aspects concerning the interactions between human sphere and environment.
Through my work in the Veneto Region, I have gained experience in the fields of cartography, remote sensing and earth observation data, particularly in the area of land monitoring and urban planning. I am also directly involved in the management of the spatial data infrastructure, where recently a section dedicated to remote sensing and earth observation has been made available.
I am the contact person for Veneto Region at NEREUS (Network of European Regions Using Space Technologies), where I was recently named as chair of Working Group in Earth Observation.
I am also the contact person for Veneto Region at National Council for Territorial and Environmental Information. (in Italian: CNITA). I have frequent contacts with colleagues of other regional functions and external specialists who work in the field of geographical information and who use products derived from remote sensing in the execution of their activities.

  • “Governance of Earth Observation Data - synergies at European level. The joint experiences of Nereus and the Veneto Region”
  • Evolution of the surface waters of the Po river in the 2020-22 period - a quantitative analysis of the drought effects with Sentinel-2 images
CATALDO GUARAGNELLA
  • Bright Target Detection on SAR Raw Data Based on Deep Convolutional Neural Networks
Chiara Angiolini
  • La raggiungibilità dei comuni montani: Come e perchè costruire una comunità di mappatori locali – Caprezzo Community use-case
Chiara Sammarco
  • Catasto-Open: strumenti open-source per la visualizzazione dei dati catastali
  • GeoImagery: dal Copernicus Hub alla geo-business-intelligence
Christopher Beddow

Christopher è un analista di dati geospaziali con il team di Maps @ Meta. Lavora con i dati Mapillary e OpenStreetMap, cercando di migliorare la qualità e i dettagli delle mappe di tutto il mondo, creare strumenti migliori per la modifica delle mappe e l'acquisizione dei dati e aiutare gli sviluppatori e gli utenti ad applicare dati e strumenti per risolvere le sfide del mondo reale. Christopher viene dagli Stati Uniti, vive nella Svizzera centrale, impara sempre a parlare più italiano e tedesco insieme a spagnolo, francese, arabo e ungherese e ama viaggiare, fare escursioni, sciare ed esplorare la geografia al computer e nella realtà.

  • Mappatura ad alta velocità: il nuovo editor di mappe Rapid
Claudia Giardino
  • PRISMA, Launched Four Years Ago: Enabling Scientific Studies on Aquatic Ecosystems
Claudio Ladisa

I am a PhD student at the AG Lab (Applied Geomatics Laboratory) of the Polytechnic of Bari. My research focuses on the development of new algorithms and techniques for the Object-Based Image Analysis (OBIA) approach. Specifically, my work aims to enhance the accuracy and efficiency of environmental monitoring and management through the integration of OBIA with machine learning and data fusion techniques. In my research, I have specifically focused on the detection of photovoltaic plants from Sentinel-2 satellite images, using a combination of spectral, spatial, and contextual information.

  • Development of a Photovoltaic System Extraction Index for the detection of large PV plants using Sentinel-2 images
Cristina Giacoma
  • A Possible Role of NDVI Time Series from Landsat Mission to Characterize Lemurs’ Habitats Degradation in Madagascar
Cristina Monterisi

PhD student in sustainable land management at the University of Bari. Civil Environmental Engineer. Graduated in Building Systems Engineering in December 2019. During my thesis, I focused on processing satellite data using cloud platforms (Google Earth Engine) and desktop software (ENVI, Qgis, SNAP). Research assignee until May 2021 at the Polytechnic of Bari as part of the coastal hazard monitoring project STIMARE for the implementation of WebGIS. Research assignee until October 2022 at the Polytechnic of Bari in the area of Earth Observation 3D Change Detection using Machine Learning and Deep Learning techniques.

  • Utilizzo di software open-source e tecniche di crowdsensing per la calibrazione di dati orientati alla realizzazione di digital twins per il patrimonio culturale
D. Iacovone
  • PRISMA Operational Activity Description
Daniela Morelli
  • Earth Observation Data and Extreme Gradient Boosting Model: innovative methods predicting West Nile Virus Circulation in Italy
Daniele Codato

laurea in scienze naturali e dottorato in geografia, assegnista di ricerca presso il dipartimento di Ingegneria Civile, Edile ed Ambientale, Università degli Studi di Padova e collaboratore presso il Centro di Eccellenza Jean Monnet sulla Giustizia Climatica

  • Il MOOC sulla GIScience per la giustizia climatica: dalla teoria alla pratica
Daniele Sanmartino
  • Assessing Glacier Extent Changes through Machine Learning Algorithms and Remote Sensing Data
Dario Negro
  • A burned area database for Italy from Sentinel-2 images and ancillary data
Davide Fugazza
  • Extreme mass loss of Brenva glacier from UAV surveys
Davide Lisi
  • Assessing Glacier Extent Changes through Machine Learning Algorithms and Remote Sensing Data
Davide Oscar Nitti
  • Exploitation of Multi-Temporal InSAR data for Environmental Risk Assessment Services
  • Study of interaction of slow landslide with infrastructures based on remote sensing technique
  • Real-Time Oil Spill Detection by Using SAR-Based Machine Learning Techniques
  • Analysis of DInSAR Displacement time series for monitoring slope instability
  • Probabilistic approach to the mapping of flooded areas through the analysis of historical time series of SAR intensity and coherence.
Deodato Tapete
  • Satellite technologies for infrastructures: state of the art, perspectives and Italian Space Agency contribution
  • Satellite technologies for Cultural Heritage: state of the art, perspectives and Italian Space Agency contribution
  • The experience of the Archaeological Park of Colosseum in the use of COSMO-SkyMed satellite data
Dina Statuto
  • Implementing a GIS-based digital atlas with different datasets for estimating the agricultural plastics environmental footprint
  • Integrating geographical data with surveys conducted with UAVs for planning areas of high environmental value
Domenico Capolongo
  • Probabilistic approach to the mapping of flooded areas through the analysis of historical time series of SAR intensity and coherence.
Donatella Dominici
  • Remote Sensing for structure and infrastructure monitoring: a review.
  • Tavola Rotonda AUTeC DATI GEOSPAZIALI DALLA FORMAZIONE ALLA FRUIZIONE
Donato Cillis
  • Investigating PLSR and RF for retrieving wheat crop traits in a field phenotyping experiment using full-range hyperspectral data: performance assessment and modelling interpretation
Edoardo Vassallo
  • Automatic analysis of detention camps in Xinjiang (PRC) using Nighttime Light remote sensing data
Elena Belcore
  • Vegetation Cover Classification of Coastal Sand Dune Ecosystems Using Ultra-High-Resolution UAS Imagery and Machine Learning Techniques
Elena Candigliota
  • Hyperspectral PRISMA and Sentinel-2 Preliminary Assessment Comparison in Archaeological Sites
Elena De Toni
  • Consigli pratici per la mappatura dell'accessibilità con OpenStreetMap e strumenti aperti
Elena Xausa
  • Remote sensing and Sentinel-2 data role within the Common Agricultural Policy 2023-2027
Eleonora Ammannito
  • Exploiting PRISMA hyperspectral data for planetary science: remote characterization of paleo-hydrologic environments on the Earth and Mars.
Eleonora Cagliero
  • Evolution of the surface waters of the Po river in the 2020-22 period - a quantitative analysis of the drought effects with Sentinel-2 images
Emere Arco
  • Automatic analysis of detention camps in Xinjiang (PRC) using Nighttime Light remote sensing data
Emma Izquierdo
  • Double Crop Mapping using Sentinel-2 Data in Support to Implementation and Monitoring of the 2023-2027 Common Agricultural Policy within Rural Development Interventions
Enrico Borgogno-Mondino
  • Double Crop Mapping using Sentinel-2 Data in Support to Implementation and Monitoring of the 2023-2027 Common Agricultural Policy within Rural Development Interventions
  • Remote sensing and Sentinel-2 data role within the Common Agricultural Policy 2023-2027
  • A Possible Role of NDVI Time Series from Landsat Mission to Characterize Lemurs’ Habitats Degradation in Madagascar
  • Pixel Mixture Issue in Mapping Vineyard Phenology. A Possible Solution Based on Sentinel-2 Imagery and Local Least Squares
  • Monitoring Erbaluce and Nebbiolo vineyards by means of Sentinel-2 NDVI index maps
  • Opening Session AIT Congress
Enrico Suozzi
  • European Fund (ERDF) and use of Open Source Geospatial (OSGeo) to support the planning and monitoring in Regione Piemonte
Eufemia Tarantino
  • Development of a Photovoltaic System Extraction Index for the detection of large PV plants using Sentinel-2 images
  • Estimating the influence of building density bias on the accuracy of Global DEM of Differences in urban change analysis
Evelia Schettini
  • A GIS-BASED SPATIAL ANALYSIS FOR AGRICULTURAL PRUNING WASTE MANAGEMENT IN THE CIRCULAR ECONOMY PERSPECTIVE
F. Sarti
  • PRISMA Operational Activity Description
Fabiana Convertino
  • A GIS-BASED SPATIAL ANALYSIS FOR AGRICULTURAL PRUNING WASTE MANAGEMENT IN THE CIRCULAR ECONOMY PERSPECTIVE
Fabio Bovenga

He is senior researcher at National Research Council (CNR) of Italy at IREA institute. His main research interests concern advanced processing techniques for SAR imaging and SAR interferometry, and the application of multi-temporal / multi-frequencies analysis to ground monitoring, change detection, and ground parameter estimation. From 2003 to 2015 he has been lecturer on SAR / InSAR principles and techniques at the Master on "Spaceborne Remote Sensing" of Bari University. Since 2020 he is adjunct professor on “Satellite Systems for Remote Sensing and Geolocation” at Polytechnic University of Bari. He has co-authored more than 150 among journal papers, book chapters and conference communications, and serves as paper reviewer for several international peer-reviewed journals. He is vice chair of the IEEE Geoscience and Remote Sensing South Italy Chapter.

  • Exploitation of Multi-Temporal InSAR data for Environmental Risk Assessment Services
  • Analysis of DInSAR Displacement time series for monitoring slope instability
  • Probabilistic approach to the mapping of flooded areas through the analysis of historical time series of SAR intensity and coherence.
Fabio Zonetti
  • progettoPRO Punti di Riferimento Open
Fabrizio Troilo
  • Extreme mass loss of Brenva glacier from UAV surveys
Federica Gaspari
  • Potree platform for infrastructure inspection: una soluzione WebGL open-source a supporto del rilievo e dell’analisi difettologica di ponti e viadotti
Federica Ghilardi

Dott. Federica Ghilardi

PhD Student – SUSTNET
Department of Agricultural, Forest and Food Sciences - DISAFA - University of Torino (Italy)
GEO4Agri Lab - Laboratorio di Geomatica e Telerilevamento Agro-Forestale del DISAFA
Link: https://orcid.org/0000-0001-6447-9442

  • A Possible Role of NDVI Time Series from Landsat Mission to Characterize Lemurs’ Habitats Degradation in Madagascar
  • Pixel Mixture Issue in Mapping Vineyard Phenology. A Possible Solution Based on Sentinel-2 Imagery and Local Least Squares
Federica Iapaolo
  • Earth Observation Data and Extreme Gradient Boosting Model: innovative methods predicting West Nile Virus Circulation in Italy
Federica Monaco
  • Earth Observation Data and Extreme Gradient Boosting Model: innovative methods predicting West Nile Virus Circulation in Italy
Federico Bastarolo
  • “Governance of Earth Observation Data - synergies at European level. The joint experiences of Nereus and the Veneto Region”
Federico Carotenuto
  • Investigating PLSR and RF for retrieving wheat crop traits in a field phenotyping experiment using full-range hyperspectral data: performance assessment and modelling interpretation
Federico Filipponi

Filipponi Federico is a research scientist with 10 year relevant experience.
Research interests focus on the ecological processes investigated by use of Remote Sensing and spatio-temporal statistical analysis. Research topics are the investigation of spatial and temporal patterns of physical and ecological processes linked to the development of environmental processes at different ecological scales. Main activities concern remote sensing data processing, software code development, in-situ data collection, geostatistical analysis, environmental characterization.

  • Improve Sentinel-2 time series consistency with S2SDB DataBase for operational image co-registration
Federico Lombardo
  • Assessment of the use of SAR satellite images for detection and mapping of post-earthquake damages, for purposes of emergency response management
Fernando J. Aguilar
  • AN AUTOMATIC AND EFFECTIVE PIPELINE FOR INDIVIDUAL TREE DETECTION AND SEGMENTATION USING LOW-DENSITY AIRBORNE LASER SCANNING DATA IN LARGE AREAS OF MEDITERRANEAN FOREST
  • Development of a Photovoltaic System Extraction Index for the detection of large PV plants using Sentinel-2 images
Filippo Sarvia

Dr. Filippo Sarvia graduated with full marks from the University of Torino with a Master's degree in Agricultural Science. He won the annual award for best thesis in optical remote sensing (2019). Immediately after graduation, he won a scholarship and successfully competed for a Ph.D. position with DISAFA. Presently, his research objectives concern remote sensing technology for agroforestry. In particular, he is dealing with climate change-related topics, such as evaluation of the reaction of natural and agricultural systems to ongoing changes (drought, floods and hail); EU CAP controls by multi-temporal satellite imagery; and damage estimates to crops by extreme weather events (supporting insurance policies).

  • Double Crop Mapping using Sentinel-2 Data in Support to Implementation and Monitoring of the 2023-2027 Common Agricultural Policy within Rural Development Interventions
  • Remote sensing and Sentinel-2 data role within the Common Agricultural Policy 2023-2027
  • Pixel Mixture Issue in Mapping Vineyard Phenology. A Possible Solution Based on Sentinel-2 Imagery and Local Least Squares
Francesca Albanese
  • EO-Learning: Free online courses on Earth Observation
Francesca da Porto
  • Structural monitoring of Cultural Heritage assets at urban and local scale through MT-InSAR
Francesco Immordino

Research Geologist

  • Hyperspectral PRISMA and Sentinel-2 Preliminary Assessment Comparison in Archaeological Sites
Francesco Niccolò Polinelli
  • Future estimation of soil erosion, in Dudh Koshi basin (Nepal)
Francesco Nirchio

Francesco Nirchio received the degree in physics from the University of Bari, Italy. Since 1987 he has been working for the Italian Space Agency in the Remote Sensing Department. He has participated to the development of the Italian User Ground Segment of the ERS, SIR-C/X-SAR and SRTM missions. He has been deputy project manager of the Cassini Radar. His scientific main interest is in the field of SAR maritime application development. Presently he is involved in COSMO-SkyMed and PRISMA Missions operational activities.

  • PRISMA Operational Activity Description
Francesco P. Lovergine
  • Probabilistic approach to the mapping of flooded areas through the analysis of historical time series of SAR intensity and coherence.
Francesco Parizia
  • Pixel Mixture Issue in Mapping Vineyard Phenology. A Possible Solution Based on Sentinel-2 Imagery and Local Least Squares
Francesco Vuolo
  • Double Crop Mapping using Sentinel-2 Data in Support to Implementation and Monitoring of the 2023-2027 Common Agricultural Policy within Rural Development Interventions
Francesco Zucca
  • Exploiting PRISMA hyperspectral data for planetary science: remote characterization of paleo-hydrologic environments on the Earth and Mars.
G. Viavattene
  • PRISMA Operational Activity Description
Gabriele Candiani
  • Investigating PLSR and RF for retrieving wheat crop traits in a field phenotyping experiment using full-range hyperspectral data: performance assessment and modelling interpretation
Gabriele Moser
  • Investigating the Correlation between Sentinel-2 Multispectral Images and Ground-Based Field Measurements of Soil Moisture (Case Study: Mendatica, Liguria, Italy)
Gachpaz Saba
  • Investigating the Correlation between Sentinel-2 Multispectral Images and Ground-Based Field Measurements of Soil Moisture (Case Study: Mendatica, Liguria, Italy)
Giacomo Caporusso

ESPERIENZE LAVORATIVE:
- dal 01/09/2013 ad oggi: Docente di ruolo di scuola superiore Classe A037 - Scienze e tecnologie delle costruzioni, tecnologie e tecniche di rappresentazione grafica – (ruolo ottenuto tramite superamento di concorso pubblico per esami e titoli relativo bandito ai sensi del D.D.G. n. 82 del 24/09/2012) in posizione di congedo per assegno di ricerca presso in CNR IREA di Bari;
- Dicembre 2020: docente di Topografia del corso di preparazione all’esame di abilitazione per la professione di Geometra presso il Collegio dei Geometri e Geometri Laureati della Provincia BT;
- Dicembre 2019: docente di Topografia del corso di preparazione all’esame di abilitazione per la professione di Geometra presso il Collegio dei Geometri e Geometri Laureati della Provincia BT;
- Dicembre 2018: docente di Topografia del corso di preparazione all’esame di abilitazione per la professione di Geometra presso il Collegio dei Geometri e Geometri Laureati della Provincia BT;
- A.A. 2018/2019 Docente a Contratto presso il Politecnico di Bari della disciplina di Trattamento delle Osservazioni Topografiche ICAR/06 6CFU Cds L7;
- 05/05/2013 – 31/08/2013 software tester presso la MERMEC Group di Monopoli.

FORMAZIONE:
- DOTTORATO DI RICERCA IN CORSO:
- Dal 01/11/2019 ad oggi: Dottorando presso il Politecnico di Bari in Rischio e Sviluppo Ambientale, Territoriale ed Edilizio, XXXV Ciclo, matricola 580018, tutor Prof.ssa Eufemia Tarantino. Tema di ricerca: “Il SAR come strumento di analisi dei disastri dell’Ambiente e del Territorio”. Conclusione del corso prevista per il 31/01/2023.
- ABILITAZIONE NELLA CLASSE DI CONCORSO DI A072 PER SCUOLA SUPERIORE - Topografia Generale, Costruzioni Rurali e Disegno (confluita nella classe A-37 – Scienze e Tecnologie delle Costruzioni, Tecnologie e Tecniche di Rappresentazione Grafica) conseguita in seguito alla partecipazione al TFA indetto con del D.M. prot.n. 487 del 20 giugno 2014. nella provincia/regione Bari, presso il Politecnico di Bari in data 13/07/2015, con punti 99/100.
- ABILITAZIONE ALL’ESERCIZIO DELLA PROFESSIONE DI INGEGNERE CIVILE presso il Politecnico di Bari in data 12/04/2011 con la votazione di 221/240.
- DIPLOMA DI LAUREA SPECIALISTICA IN INGEGNERIA CIVILE conseguito presso il Politecnico di Bari in data 22/04/2010 con punti 110/110 e lode.
- DIPLOMA DI LAUREA TRIENNALE IN INGEGNERIA CIVILE conseguito presso il Politecnico di Bari in data 07/11/2006 con punti 110/110 e lode.
- DIPLOMA DI SCUOLA SUPERIORE DI GEOMETRA conseguito l’11/07/2001 presso l’ITG Nervi di Barletta e di aver riportato la seguente votazione totale 100/100.

CERTIFICAZIONI LINGUISTICHE:
certificazione di lingua inglese livello B2 conseguita il 20/11/2014 presso il Trinity College London.
CERTIFICAZIONI INFORMATICHE:
- ICDL Essentials IT 2461137 31/08/2020
- ICDL Certificato ECDL Base IT 2461137 31/08/2020
- ICDL Certificato ECDL Standard IT 2461137 31/08/2020
- ICDL Certificato ECDL Full Standard IT 2461137 31/08/2020
- ICDL Certificato IT Security IT 2461137 31/08/2020
PUBBLICAZIONI SCIENTIFICHE:
1. Caporusso, G., Gallo, C., & Tarantino, E. (2022). Change Detection Analysis Using Sentinel-1 Satellite Data with SNAP and GEE Regarding Oil Spill in Venezuela. In International Conference on Computational Science and Its Applications (pp. 387-404). Springer, Cham.
2. 2Caporusso, G., Dell’Olio, M., & Tarantino, E. (2022). Use of the Sentinel-1 Satellite Data in the SNAP Platform and the WebGNOME Simulation Model for Change Detection Analyses on the Persian Gulf Oil Spill. In International Conference on Computational Science and Its Applications (pp. 369-386). Springer, Cham.
3. Capolupo, A., Monterisi, C., Sonnessa, A., Caporusso, G., & Tarantino, E. (2021, September). Modeling land cover impact on albedo changes in Google Earth Engine environment. In International Conference on Computational Science and Its Applications (pp. 89-101). Springer, Cham.
4. Saponaro, M., Capolupo, A., Caporusso, G., & Tarantino, E. (2021). Influence of Co-Alignment Procedures on the Co-Registration Accuracy of Multi-Epoch SFM Points Clouds. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 43, 231-238.
5. Rząsa, K., Caporusso, G., Ogryzek, M. P., & Tarantino, E. (2021). Spatial planning systems in Poland and Italy-comparative analysis on the example of Olsztyn and Bari. Acta Scientiarum Polonorum Administratio Locorum, 20(2).
6. Capolupo, A., Monterisi, C., Caporusso, G., & Tarantino, E. (2020, July). Extracting Land Cover Data Using GEE: A Review of the Classification Indices. In International Conference on Computational Science and Its Applications (pp. 782-796). Springer, Cham.
7. Saponaro, M., Capolupo, A., Caporusso,G., Reina, A., Fratino, U., ., & Tarantino, E, (2020) Exploring UAV and cloud platform potentialities for detecting geomorphological changes in coastal environment. In XV Protection and Restoration of the Environment Conference
8. Saponaro, M., Capolupo, A., Caporusso, G., Borgogno Mondino, E., & Tarantino, E. (2020). Predicting the Accuracy of Photogrammetric 3d Reconstruction from Camera Calibration Parameters Through a Multivariate Statistical Approach. In XXIV ISPRS Congress (Vol. 43, pp. 479-486). ISPRS.
9. Giacomo, C., Ettore, L., Rino, L., Rosa, L., Rocchina, G., Girolamo, D. M., & Patrizia, S. (2020, September). The hyperspectral prisma mission in operations. In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium (pp. 3282-3285). IEEE.

  • Probabilistic approach to the mapping of flooded areas through the analysis of historical time series of SAR intensity and coherence.
Gianluca Cantamessa
  • Remote sensing and Sentinel-2 data role within the Common Agricultural Policy 2023-2027
Gianluca Polenta
  • Exploiting PRISMA hyperspectral data for planetary science: remote characterization of paleo-hydrologic environments on the Earth and Mars.
Giorgio Boni
  • Investigating the Correlation between Sentinel-2 Multispectral Images and Ground-Based Field Measurements of Soil Moisture (Case Study: Mendatica, Liguria, Italy)
Giorgio Cascelli
  • Bright Target Detection on SAR Raw Data Based on Deep Convolutional Neural Networks
Giorgio Masoero
  • Monitoring the seeds phenolic maturity in Nebbiolo vineyard by means of NDVI index vs foliar NIR spectroscopy
  • Monitoring Erbaluce and Nebbiolo vineyards by means of Sentinel-2 NDVI index maps
Giorgio Roberto Pelassa
  • European Fund (ERDF) and use of Open Source Geospatial (OSGeo) to support the planning and monitoring in Regione Piemonte
Giovanna D'Ambrosio
  • Study of interaction of slow landslide with infrastructures based on remote sensing technique
Giovanni Sammarco
  • GeoImagery: dal Copernicus Hub alla geo-business-intelligence
Giuliano Vox, Ali Hachem, Ileana Blanco, Giacomo Scarascia Mugnozza
  • A GIS-based model to map gravity centers of agricultural end-of-life plastics for a sustainable waste management
Giuseppe Cillis
  • Implementing a GIS-based digital atlas with different datasets for estimating the agricultural plastics environmental footprint
Giuseppe Forenza

11 years of experience in business development for Saas Software and IoT solutions, Geospatial and Remote Sensing services. Author of the weekly Linkedin Newsletter "Earth from Space" and the podcast "Occhio alla Terra" .

  • Satellite Intelligence for proactive monitoring of the territory: the Rheticus Safeland service
Giuseppe Sindoni
  • Exploiting PRISMA hyperspectral data for planetary science: remote characterization of paleo-hydrologic environments on the Earth and Mars.
Giuseppe Solaro
  • The use of satellite data for the knowledge of the territory: geological applications
Giuseppe Spilotro
  • Analysis of DInSAR Displacement time series for monitoring slope instability
Giuseppe Squicciarino
  • A burned area database for Italy from Sentinel-2 images and ancillary data
  • A Preliminary Investigation of the PRISMA Hyperspectral Sensor Potential for Burned Area Mapping in an Operational Context
Guido Pasquariello
  • Analysis of DInSAR Displacement time series for monitoring slope instability
I. Corradino
  • PRISMA Operational Activity Description
Ilenia Argentiero
  • Analysis of DInSAR Displacement time series for monitoring slope instability
Irma Della Giovampaola
  • The experience of the Archaeological Park of Colosseum in the use of COSMO-SkyMed satellite data
Isabella Lapietra
  • Open data per l’analisi multidimensionale del rischio alluvionale
Jonas Cinquini
  • GeoImagery: dal Copernicus Hub alla geo-business-intelligence
katayoun Fakherifard

Master of Geoinformatics engineering from Politecnico di Milano. Working in CNR as a researcher in "Satellite data processing and Earth Observation for environmental monitoring, archiving and management ".

  • Spectroscopic Determination of Crop Residue Cover using Exponential-Gaussian Optimization of absorption features and Random Forest
Khalid Tijani
  • Exploitation of Multi-Temporal InSAR data for Environmental Risk Assessment Services
  • Bright Target Detection on SAR Raw Data Based on Deep Convolutional Neural Networks
  • Real-Time Oil Spill Detection by Using SAR-Based Machine Learning Techniques
L. Agrimano
  • PRISMA Operational Activity Description
L. Chiarantini
  • PRISMA Operational Activity Description
Laura Candela
  • THE DOWNSTREAM SECTOR IN ITALY: ASI’s ROLE and PROGRAMMES in the NATIONAL ECOSYSTEM
Laura Magnabosco
  • Evolution of the surface waters of the Po river in the 2020-22 period - a quantitative analysis of the drought effects with Sentinel-2 images
Lorenza Apicella
  • Sentinel-2 open data processing and morphodynamic modelling: an integrated approach to model sediment supply effects on rivers, estuarine and coastal areas
Lorenza Ranaldi
  • Assessing Glacier Extent Changes through Machine Learning Algorithms and Remote Sensing Data
Luca Candeloro
  • Earth Observation Data and Extreme Gradient Boosting Model: innovative methods predicting West Nile Virus Circulation in Italy
Luca Cenci

Luca Cenci received the BSc degree (cum laude) in “Coordination of Civil Protection Activities” from the University of Perugia (Italy), in 2010; the MSc degree (cum laude) in “Geosciences and Geotechnologies” from the University of Siena (Italy), in 2013; the PhD degree (grade: Excellent) in “Understanding and Managing Extremes” (Curriculum: “Weather-Related Risk”) from the University School for Advanced Studies IUSS Pavia (Italy), in 2016.
In 2009, he was a visiting student with the University of Malta and a trainee in the Malta Civil Protection Department (Malta). In 2012, he was a visiting student with the Department of Environment and Planning, University of Aveiro (Portugal). In 2013, he was a trainee with the Geomatics Laboratory of the Centre for GeoTechnologies (CGT) - University of Siena (Italy). In 2016, he was a visiting researcher with the Luxembourg Institute of Science and Technology - LIST (Luxembourg). From 2014 to 2019, he was a doctoral and postdoctoral Researcher with CIMA Research Foundation (Italy). From 2017 to 2019, he was a Postdoctoral Researcher with the Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome (Italy). From 2019 to 2022, he worked with Serco Italia SpA (Italy), for the European Space Agency (ESA), as Senior Earth Observation (EO) - Geomatic Engineer in the Copernicus Coordinated data Quality Control (CQC) service. Since 2022, he has been working as researcher for CIMA Research Foundation (Italy) in the EO Department.
Throughout his academic and professional experiences, he gained advanced theoretical knowledge and practical skills in the fields of satellite remote sensing data processing, analysis and quality assessment (e.g., optical, SAR, GNSS-R, DEM). His main research interests are mostly focused on the integration of EO & GIS -based technologies for land applications, with an emphasis on geosciences (mainly, hydrology & geology), natural hazards (mainly, floods & coastal erosion; lately, also wildfires & drought) and disaster risk management. Within this context, Luca worked in the development of innovative EO-based solutions for both research purposes (e.g., EU, ESA, ASI -funded scientific projects) and operational/downstream services (e.g., Copernicus services), in both academic and industrial contexts.
In 2013, Luca received the “Premio Nazionale di Laurea Eugenio Zilioli” for the best Italian Master's Thesis on remote sensing by the National Research Council (CNR) of Italy (IREA institute) and the ASITA federation.

  • A Preliminary Investigation of the PRISMA Hyperspectral Sensor Potential for Burned Area Mapping in an Operational Context
Luca Delucchi

Luca is an OSGeo and OSM contributor and advocate. He graduated in Geography from University of Genova (Italy) in 2008. Since the same year he work at Fondazione Edmund Mach, an organisation near Trento. He is interested in all features about GIS: desktop, web, geodatabase, developing and geodata. He contributes to GRASS GIS project, pyModis, OSGeoLive and ZOO-Project and others.

He is active in the Italian community; he has been a board member and the president of the Italian OSGeo local chapter. He has been the board member for about 10 years.

He was the chair of the FOSS4G 2022 conference.

  • DigiAgriApp: l'applicazione per la gestione dei tuoi campi agricoli
Luca Pulvirenti
  • A burned area database for Italy from Sentinel-2 images and ancillary data
  • A Preliminary Investigation of the PRISMA Hyperspectral Sensor Potential for Burned Area Mapping in an Operational Context
Luigi D'Amato
  • THE DOWNSTREAM SECTOR IN ITALY: ASI’s ROLE and PROGRAMMES in the NATIONAL ECOSYSTEM
Luigi LA RICCIA

Dr. Luigi La Riccia, Ph.D. in Territorial Planning and Local Development, research technician at the SDG11lab at the Polytechnic University of Turin, Interateneo Department of Territorial Sciences, Design and Policies (DIST). I carry out research and geospatial data processing activities on: urban and territorial planning, landscape and protected areas, green infrastructure, environmental sustainability and geographic information systems (GIS and Participatory GIS). I have authored 90 scientific publications together with international conferences and exhibitions on these topics.

  • From real to virtual: sharing a urban 3d model as open data in open source environments
MARA REMI
  • La mappatura geomorfologica a “copertura totale” mediante l’utilizzo di software opensource: strumento di valutazione, gestione e mitigazione dei rischi geomorfologici
Marco Gianinetto
  • Future estimation of soil erosion, in Dudh Koshi basin (Nepal)
Marco La Salandra
  • Applicazioni di UAV e tecniche SfM per valutare la pericolosità idro-geomorfologica in un sistema fluviale
Marco Piras
  • Vegetation Cover Classification of Coastal Sand Dune Ecosystems Using Ultra-High-Resolution UAS Imagery and Machine Learning Techniques
Marco Scaioni

Marco Scaioni, Civil Engineering MSc Degree (Politecnico Milano, Italy, 1995), PhD on Geodetic and Mapping Sciences (Politecnico Milano, 1999).
Full Professor of Geomatics at Politecnico Milano, Dept. of Architecture, Built Environment and Construction Engineering (ABC). Head of ABC-PhD programme.
Formerly, Full Professor in the College of Surveying and Geo-Informatics at Tongji University, Shanghai (2011-2014).
Main research interests: Photogrammetry and Laser scanning from multiple platforms, Integration GIS/BIM for buildings and infrastructures, Geomatics for Geosciences (Glaciology and Geology) and Cultural Heritage, Geodatabases for urban planning, Deep Learning classification of point clouds.
Associate Editor of Applied Geomatics (Springer) and the ISPRS Journal of Photogrammetry and Remote Sensing (Elsevier).
He published more than 310 scientific papers, including 65 papers on WoS-indexed journals (H-index: 22), 171 Scopus-indexed papers (H-index: 30) and two edited books.

  • Assessment of infrastructure deformation using EGMS-InSAR data and geo-environmental factors through machine learning: Railways and highways of Lombardy Region, Italy
  • Air Quality Monitoring and Prediction in Ukraine During War Crisis Using Copernicus Data and Machine Learning
Margarita Chrysaki
  • “Governance of Earth Observation Data - synergies at European level. The joint experiences of Nereus and the Veneto Region”
Maria Alicandro
  • Hyperspectral PRISMA and Sentinel-2 Preliminary Assessment Comparison in Archaeological Sites
Maria Ferrara
  • Aerial LiDAR and Infrared Thermography for urban-scale energy assessment and planning
Maria Libera Battagliere

Maria Libera Battagliere is currently Head of Pilot Projects Office at Downstream and Application Services Department, Advisor at the ESA’s Programme Board for Earth Observation (PB-EO) and Responsible for the ASI’s Open Call initiative addressed to the data exploitation of the COSMO-SkyMed mission (first and second generation).
Since 2010 she was involved as Mission Engineer in the COSMO-SkyMed Programme at the Italian Space Agency, becoming COSMO-SkyMed Deputy Mission Manager (2014-2020), Head of COSMO-SkyMed Data Exploitation Office (2016-2018), Head of Earth Observation Mission and Data Management Office (2018-2020), ASI’s representative in the international PSTG (Polar Space Task Group) initiative and its Working Groups (2017-2020), ASI’s Coordinator for the ASI-NASA Agreement in EO Research Activity (2018-2020).

  • THE DOWNSTREAM SECTOR IN ITALY: ASI’s ROLE and PROGRAMMES in the NATIONAL ECOSYSTEM
Maria Virelli

Graduated in Mathematics, works in the Italian Space Agency in the Earth Observationand Operations Division holds the role of COSMO-SkyMed Mission Manager.

  • Satellite technologies for infrastructures: state of the art, perspectives and Italian Space Agency contribution
  • Satellite technologies for Cultural Heritage: state of the art, perspectives and Italian Space Agency contribution
  • The experience of the Archaeological Park of Colosseum in the use of COSMO-SkyMed satellite data
  • Assessment of the use of SAR satellite images for detection and mapping of post-earthquake damages, for purposes of emergency response management
Marika Ciliberti
  • Low-cost AirQuality stations + open standard (OGC SensorThings) + open data + open source (FROST + QGIS plugin for sensors)
Marina_Ranghetti
  • Investigating PLSR and RF for retrieving wheat crop traits in a field phenotyping experiment using full-range hyperspectral data: performance assessment and modelling interpretation
Matteo Altare
  • Monitoring the seeds phenolic maturity in Nebbiolo vineyard by means of NDVI index vs foliar NIR spectroscopy
Matteo Ghetta

Matteo Ghetta è lo sviluppatore python di Faunalia, azienda toscana totalmente focalizzata su software open source, specialmente software geografici.

Dopo aver come sviluppatore python alla Scuola Superiore Sant'Anna all'interno del progetto H2020 Freewat, partecipa attivamente alla comunità di QGIS come coordinatore della documentazione, traduttore e sviluppatore di plugin.

  • Faunalia Toolkit QGIS plugin
  • QGIS in campo con Mergin Maps
Mattia Previtali
  • Air Quality Monitoring and Prediction in Ukraine During War Crisis Using Copernicus Data and Machine Learning
Maurizio Minchilli
  • Integrating geographical data with surveys conducted with UAVs for planning areas of high environmental value
Melissa Latella
  • Vegetation Cover Classification of Coastal Sand Dune Ecosystems Using Ultra-High-Resolution UAS Imagery and Machine Learning Techniques
Michele Perrelli
  • Integrated use of terrestrial geomatic techniques, aerial lidar and satellite SAR for the survey of a dam and the surrounding area
Mirco Boschetti

Mirco Boschetti received the Laurea Degree (summa cum laude) in Scienze Ambientali (1998) from the University of Milano Bicocca. He got the PhD from the State University of Milan (Agronomy faculty) with the thesis "Use of Remote Sensing and Crop Growth Model to monitor vegetation compound and cropping system". He has been with the National Research Council (CNR) of Italy since 1999 and he is a researcher at IREA since 2010. His research activity regards the use of remote sensing for vegetation and agro-ecosystem monitoring and the definition of environmental indicator through geographic multisource data integration. He has worked on automatic interpretation methods of multispectral and hyperspectral images acquired by airplane or satellite platform for the retrieval of bio-physical parameters and land cover mapping. In the last few years he is working on vegetation phenological parameters estimation, crop mapping and agro-practises monitoring from time series of low-resolution images. M.B. is member of the Scientific Board of the Italian Association of Remote Sensing (AIT). He is a reviewer of several Peer Review International Journal in the GIS, Remote Sensing, Environmental and Agronomical field. He participated at national (Ministry of Environment, Italian Space Agency) and international research programmes (EC, ESA). He was involved in the EU project "GEOLAND” and “GEOLAND2: towards a GMES Land Monitoring Core Service" (2008-2012, EU FP-7). Visiting scientist (in 2010) at IRRI head quarter (Los Banos, Philippines). Independent expert for the audit in the scope of the product and service independent evaluation of the Global land Component of the GIO Land service from 2015 -2017. He has been the coordinator of the FP7 SPACE project ERMES “An Earth obseRvation Model based RicE information Service”. Scientific responsible of the collaboration Framework between CNR-IREA and Bonifiche Ferraresi for research activities and technology transfer in ITC ad Remote Sensing for Precision Farming (2017 – 2020). WP leader of the project CHIME-RCS (2018 2019) and CCN (2019-2021) between ESA and ISPRA (Istituto Superiore per la Protezione e la Ricerca Ambientale) for the consolidation of requirement for Copernicus CHIME hyperspectral mission. Part of the CNR science team for the activities of CAL/VAL of PRISMA data for the Italian Space Agency (2019-2021). Since 2020 contract professor at University of Milan for the course “Geomatic: remote sensing for agriculture” (https://www.unimi.it/it/ugov/person/mirco-boschetti) .

  • Assessing transferability of Gaussian Process Regression for Canopy Chlorophyll Content and Leaf Area Index estimation from Sentinel-2 data exploiting a multi-site, year and crop dataset
  • Investigating PLSR and RF for retrieving wheat crop traits in a field phenotyping experiment using full-range hyperspectral data: performance assessment and modelling interpretation
Mirko Frigerio
  • Assessing Glacier Extent Changes through Machine Learning Algorithms and Remote Sensing Data
Mirko Mazzarolo
  • “Governance of Earth Observation Data - synergies at European level. The joint experiences of Nereus and the Veneto Region”
Mohammad Mehrabi
  • Air Quality Monitoring and Prediction in Ukraine During War Crisis Using Copernicus Data and Machine Learning
Monica De Martino
  • Sentinel-2 open data processing and morphodynamic modelling: an integrated approach to model sediment supply effects on rivers, estuarine and coastal areas
Monica Pepe
  • Spectroscopic Determination of Crop Residue Cover using Exponential-Gaussian Optimization of absorption features and Random Forest
N. Lombardi
  • PRISMA Operational Activity Description
Niccolo' Tolio
  • Evolution of the surface waters of the Po river in the 2020-22 period - a quantitative analysis of the drought effects with Sentinel-2 images
Nicole Pascucci
  • Remote Sensing for structure and infrastructure monitoring: a review.
Nicolò Ricciardi
  • Exploitation of Multi-Temporal InSAR data for Environmental Risk Assessment Services
  • Bright Target Detection on SAR Raw Data Based on Deep Convolutional Neural Networks
  • Real-Time Oil Spill Detection by Using SAR-Based Machine Learning Techniques
P. Tempesta
  • PRISMA Operational Activity Description
Paola Manzari
  • Exploiting PRISMA hyperspectral data for planetary science: remote characterization of paleo-hydrologic environments on the Earth and Mars.
Paolo Dabove
  • The use of open-source machine learning techniques for urban features extraction
  • Una rete GNSS open-source di strumenti a basso costo per il posizionamento NRTK: quale futuro e quali prestazioni?
  • Quale futuro per il FOSS?
Peppino Sarasso
  • Monitoring Erbaluce and Nebbiolo vineyards by means of Sentinel-2 NDVI index maps
Peter Ernest Wigand

Graduate faculty at 3 universities, a Visiting Research Professor at the University of Bari, Affiliate Research Professor at the Desert Research Institute & own EESEEMR Irish eco-consulting Co. Using paleobotany & geomorphology, I am investigating late Quaternary landscape dynamics in the western U.S., the northern Mediterranean margin, and the Middle East (Iran), where as a result of climate change, poor agricultural practices, poor water management severe environmental deterioration is occurring. A conference was held in Gravina in Puglia in July, highlighting this and other research around the Mediterranean and Iran: http://climatechangeandlanduseandlandscape.com

  • Application of Remote Sensing to Repeat Photography to Analyze Landscape Change
Piergiorgio Cipriano

I am a GIS/SDI analyst since 1998.
Working at Dedagroup Public Services since 2005 (form Sinergis), in 2012-2013 I have joined the Joint Research Centre of European Commission, on INSPIRE-related projects.
I am passionate about maps, cartograms and storymaps, with focus on city-level data about air quality, energy performance of buildings, sustainable mobility.
From 2001 to 2010 I actively participated in ISO/TC211 and CEN/TC287 working groups on standards for geographic information and services.
In the last years I was involved in several innovation projects co-funded by Horizon Europe, H2020, EIT Climate-KIC, CEF Telecom and other programs.

  • Low-cost AirQuality stations + open standard (OGC SensorThings) + open data + open source (FROST + QGIS plugin for sensors)
Piergiovanna Grossi
  • Wikipedia e Open Street Map per la divulgazione e la conoscenza del patrimonio culturale: due casi di studio
Piero Boccardo
  • Assessing Glacier Extent Changes through Machine Learning Algorithms and Remote Sensing Data
  • Earth Observations applied to Critical Raw Materials supply chain
Pietro Picuno

The University of Basilicata is an Italian public State University. It was founded in 1981 and started its academic activities in 1982. It is located in Potenza and in Matera, inside a region of Southern Italy - the Basilicata Region - well known for its cultural, touristic and agricultural vocation. The University of Basilicata is organized into four Departments – i.e.: Natural Sciences; Economy; Literature and Philology; and a fourth inter-disciplinary Department located in the City of Matera – and into two Schools, i.e.: the School of Engineering; and the School of Agricultural, Forest, Food and Environmental Sciences (SAFE). Scope of the work of this latter SAFE School is focused on every didactic and scientific aspect connected with agriculture, forestry, food technology and environmental management. Within the SAFE School of the University of Basilicata, a specialized research group - active from more than 35 years - covers all scientific and technical topics related to farm buildings (structure, architectural design, building material, climatization plants, energy, agricultural waste management, etc.), as well as the analysis, planning and management of rural land. This group, working at the Laboratory of Farm Buildings and Agro-forestry Land (CORTA Lab), has developed during time well-recognized scientific and technical competences in the field of analysis, planning and management of rural land, landscape and environment, GIS and spatial analysis. Also, the implementation of the concept of Circular Economy and Circular Bioeconomy in the primary sector has been studied, through the valorization of residual agricultural biomass for the production of renewable biological resources and their conversion into new added-value products in the same agricultural sector or in different industrial chains (e.g.: cosmetics; nutraceuticals; etc.).

  • Implementing a GIS-based digital atlas with different datasets for estimating the agricultural plastics environmental footprint
  • Integrating geographical data with surveys conducted with UAVs for planning areas of high environmental value
Pietro Tizzani
  • The use of satellite data for the knowledge of the territory: geological applications
Raffaele Castaldo
  • The use of satellite data for the knowledge of the territory: geological applications
Raffaele Nutricato
  • Exploitation of Multi-Temporal InSAR data for Environmental Risk Assessment Services
  • Study of interaction of slow landslide with infrastructures based on remote sensing technique
  • Bright Target Detection on SAR Raw Data Based on Deep Convolutional Neural Networks
  • Real-Time Oil Spill Detection by Using SAR-Based Machine Learning Techniques
  • Analysis of DInSAR Displacement time series for monitoring slope instability
  • Probabilistic approach to the mapping of flooded areas through the analysis of historical time series of SAR intensity and coherence.
Raimondo Quaresima
  • Hyperspectral PRISMA and Sentinel-2 Preliminary Assessment Comparison in Archaeological Sites
Ramin Heidarian Dehkordi
  • Spectroscopic Determination of Crop Residue Cover using Exponential-Gaussian Optimization of absorption features and Random Forest
  • Investigating PLSR and RF for retrieving wheat crop traits in a field phenotyping experiment using full-range hyperspectral data: performance assessment and modelling interpretation
Rasoul Eskandari

PhD student at Dept. of Architecture, Built Environment and Construction Engineering (DABC), Politecnico di Milano, Italy.
Research Interests: Synthetic Aperture Radar (SAR), Multi-Temporal Differential Interferometric SAR (D-InSAR), Geospatial Analysis, Geostatistics, Imgae and Signal Processing, Machine Learning.

  • Assessment of infrastructure deformation using EGMS-InSAR data and geo-environmental factors through machine learning: Railways and highways of Lombardy Region, Italy
Roberta Santin
  • “Governance of Earth Observation Data - synergies at European level. The joint experiences of Nereus and the Veneto Region”
Rosa Colacicco
  • YouthMappers@Uniba: attività di mappatura in Puglia
Rosa Colacicco
  • Probabilistic approach to the mapping of flooded areas through the analysis of historical time series of SAR intensity and coherence.
Roya Ayazi
  • “Governance of Earth Observation Data - synergies at European level. The joint experiences of Nereus and the Veneto Region”
Saber Razmjooei

Saber is co-founder of Lutra Consulting, a leading company in the field of open source GIS software development. They are one of the core contributors of QGIS and have been enhancing QGIS 3D, QGIS support for point clouds and mesh data.

  • Mergin Maps: an open source platform to take QGIS to the field!
Samuele De Petris
  • Remote sensing and Sentinel-2 data role within the Common Agricultural Policy 2023-2027
  • A Possible Role of NDVI Time Series from Landsat Mission to Characterize Lemurs’ Habitats Degradation in Madagascar
  • Pixel Mixture Issue in Mapping Vineyard Phenology. A Possible Solution Based on Sentinel-2 Imagery and Local Least Squares
Sara Zollini

Fixed-term university researcher at the Department of Civil, Construction-Architectural and Environmental Engineering (DICEAA) of University of L'Aquila in Topography and Cartography (S.S.D. ICAR/06), SC 08/A4 - Geomatics. In 2021 she obtained the European PhD in Civil, Construction-Architectural and Environmental Engineering at University of L'Aquila, spending a period as a PhD visiting student for 6 months at CTTC (Centre Tecnològic Telecomunicacions Catalunya) in Castelldefels, Barcelona, ​​dealing with the processing of SAR and optical data for the study of coastal areas. Subsequently, she was a research fellow at the DICEAA. She currently is the professor holder the course Elements of topography and cartography of Construction-Architectural Engineering and collaborates in teaching activities for topography and geomatics courses of Civil and Environmental Engineering and for the course in Civil protection techniques and territorial security at the UNIVAQ, DICEAA. She is topography and geomatics subject expert . She is co-supervisor of degree theses in the same field. Shee participates in projects of national and international interest, organizes and actively participates in national and international conferences related to the Geomatics field. She won the IEEE-GRS29-CNI-SI 2021 award for the 3 best PhD theses in geosciences and remote sensing and is member of journal editorial boards.

  • Hyperspectral PRISMA and Sentinel-2 Preliminary Assessment Comparison in Archaeological Sites
  • Remote Sensing for structure and infrastructure monitoring: a review.
Sebastiano Anselmo

PhD student in Urban and Regional Development at Politecnico di Torino.
My research explores the energetic applications of three-dimensional data.

  • Aerial LiDAR and Infrared Thermography for urban-scale energy assessment and planning
Serena Artese

PhD in Geomatics (11/02/2016).
MD in Building Engineering (13/12/2011)
Italian National Scientific Habilitation (ASN) for Associate Professor in Geomatics (16/11/2020)
Contract Professor of Topography - University of Calabria (since 2018)

  • Integrated use of terrestrial geomatic techniques, aerial lidar and satellite SAR for the survey of a dam and the surrounding area
Silvano De Zorzi
  • “Governance of Earth Observation Data - synergies at European level. The joint experiences of Nereus and the Veneto Region”
Silvia Bianchini
  • Analysis and prevention of historical-cultural heritage instability using satellite radar interferometry
Silvia Guidoni
  • Monitoring the seeds phenolic maturity in Nebbiolo vineyard by means of NDVI index vs foliar NIR spectroscopy
Silvia Puca
  • A burned area database for Italy from Sentinel-2 images and ancillary data
Somayeh Zahabnazouri
  • Application of Remote Sensing to Repeat Photography to Analyze Landscape Change
Stefania Gualano, Hamza Mghari, Antonio Novelli, Anna Maria D’Onghia, Biagio Di Terlizzi, Franco Santoro
  • Evaluation of the use of data from MODIS-Terra and Sentinel-2 to analyze the epidemic impact of Citrus Tristeza Virus in infected areas of the Apulia region
Stefano Frittelli
  • Assessment of the use of SAR satellite images for detection and mapping of post-earthquake damages, for purposes of emergency response management
Susanna Grita

Susanna has a Master degree in Geology at Roma Tre University, Italy. She started her career in 2017 in the field of emergency mapping as a GIS and Earth Observations expert, initially within the United Nations (at UNITAR-UNOSAT in Switzerland) and then for the Copernicus Program (at ITHACA) in Italy. She has also been involved in land cover mapping for the Copernicus Land service at the German company GAF AG based in Munich.

She is currently undertaking a Ph. D. at the Univeristy of Rome “La Sapienza” and the Politecnico di Torino in Italy. Her research is focused on the use of multispectral/hyperspectral data for critical raw material early stage exploration.

  • Earth Observations applied to Critical Raw Materials supply chain
Susanna Tora
  • Earth Observation Data and Extreme Gradient Boosting Model: innovative methods predicting West Nile Virus Circulation in Italy
Susi Pepe
  • The use of satellite data for the knowledge of the territory: geological applications
Ulisse Cavallini
  • QGIS in campo con Mergin Maps
Umberto Trivelloni
  • “Governance of Earth Observation Data - synergies at European level. The joint experiences of Nereus and the Veneto Region”
Umberto Trivelloni
  • Piattaforma open source per la gestione del territorio della Regione del Veneto
  • Evolution of the surface waters of the Po river in the 2020-22 period - a quantitative analysis of the drought effects with Sentinel-2 images
V. Ferri
  • PRISMA Operational Activity Description
Valentina Nocente
  • Assessment of the use of SAR satellite images for detection and mapping of post-earthquake damages, for purposes of emergency response management
Valeria Torti
  • A Possible Role of NDVI Time Series from Landsat Mission to Characterize Lemurs’ Habitats Degradation in Madagascar
Valerio Baiocchi

Valerio Baiocchi began his career as a programmer at the age of 14 in the TMS9900 environment, developing some original software in collaboration with the most popular computer magazines of the time. He received his High school diploma at the age of 17 (the usual age in Italy is 19) at the Scientific High school C.Cavour of Rome, the oldest scientific High school of Italy. He is Engineer and Geologist, both full Graduation at Sapienza University of Rome, one of the oldest university of Europe, with top marks. He obtained a Ph.D. in Geodesy and survey, at 'Parthenope' University, Napoli, Italy (1996-1999), a Master in Environmental sciences (Scuola di specializzazione), at Urbino University, Italy (1995-1997), and a second Ph.D. in Infrastructures and transports, at 'Sapienza' University of Rome (2006-2009).

Author of more than 250 scientific papers, H-index 18 on Scopus, 16 on WOS and 19 on Google scholar

  • Ortorettificare in QGIS con OTB: limiti e possibili soluzioni
  • Ortorettificare immagini satellitari con software open: OTB in QGIS
Valerio Gulli

Valerio Gulli

Biografia: Senior Business Development Manager presso European Space Imaging/EUSI, direttore senior focalizzato su soluzioni di geo-intelligence e remote sensing, con oltre 15 anni di esperienza internazionale in posizioni di ricerca e industria. Esperienza nel campo della consulenza tecnica e dello sviluppo aziendale, con competenze nelle integrazioni di sistemi aerei e UAVs (elettro-ottico, LiDAR, radar, iperspettrale), nelle applicazioni geoint, fotogrammetria, e mappatura 2D/3D ad alta risoluzione, come esperienza in soluzioni software avanzate fotogrammetria e simulazioni militari. Prima di entrare in EUSI, ha ricoperto il ruolo di vice presidente business development presso IGI mbH, dove ha sviluppato ulteriormente le competenze tecniche nelle integrazioni avanzate dei sensori e nei sistemi di mappatura aerea e mobile. In qualità di consulente esperto di tecnologia e strategia, il suo impegno è quello di fornire soluzioni innovative per aiutare i clienti e le organizzazioni a ottimizzare l'uso dei dati geospaziali e a raggiungere gli obiettivi aziendali. Partecipate alla presentazione per saperne di più.

  • EUSI il principale gateway Europeo per immagini VHR satellitari, missioni di tasking, e monitoraggio.
Vanina Fissore
  • Assessing Glacier Extent Changes through Machine Learning Algorithms and Remote Sensing Data
Veronica Camplone
  • Exploiting PRISMA hyperspectral data for planetary science: remote characterization of paleo-hydrologic environments on the Earth and Mars.
Veronica Tofani
  • Analysis and prevention of historical-cultural heritage instability using satellite radar interferometry
Vincenzo De Novellis
  • The use of satellite data for the knowledge of the territory: geological applications
Vittoria Olgiati
  • Earth Observations applied to Critical Raw Materials supply chain
Vittorio Scolamiero
  • From real to virtual: sharing a urban 3d model as open data in open source environments
Walter Lorenzetti
  • Integrazione tra G3W-SUITE e QGIS: stato dell'arte, ultimi sviluppi e prospettive future
  • G3W-SUITE e QGIS: una soluzione per creare gestionali cartografici web
Walter Lorenzetti

CEO of Gis3W (https://gis3w.it).
Main developer of G3W-SUITE (https://g3wsuite.it/)
Biological Studies PhD in Evolution Biology Web php, python develpement WebGis Oriented.
AIKIDO student and teacher.

  • G3W-SUITE e QGIS: una soluzione per creare gestionali cartografici web
William Frodello
  • Analysis and prevention of historical-cultural heritage instability using satellite radar interferometry
Yogender Yadav

Mr. Yogender Yadav is pursuing his Ph.D. in Urban and Regional Development at SDG 11 Lab, Politecnico di Torino. For Ph.D. research, he is working on the implementation of Digital Twins for regional developments. In July 2022, He completed his M.Sc. Degree in Geoinformation Science and Earth Observation specializing in Geoinformatics from Faculty ITC, University of Twente, Netherlands. His research interests are remote sensing, LiDAR, and photogrammetry with applications in Urban planning.

  • From real to virtual: sharing a urban 3d model as open data in open source environments
  • Aerial LiDAR and Infrared Thermography for urban-scale energy assessment and planning
Ziyang Wang
  • Assessment of infrastructure deformation using EGMS-InSAR data and geo-environmental factors through machine learning: Railways and highways of Lombardy Region, Italy