BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//talks.osgeo.org//foss4g-2023-academic-track//KAYBXZ BEGIN:VTIMEZONE TZID:CET BEGIN:STANDARD DTSTART:20001029T040000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET TZOFFSETFROM:+0200 TZOFFSETTO:+0100 END:STANDARD BEGIN:DAYLIGHT DTSTART:20000326T030000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST TZOFFSETFROM:+0100 TZOFFSETTO:+0200 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:pretalx-foss4g-2023-academic-track-V9DXJC@talks.osgeo.org DTSTART;TZID=CET:20230629T152000 DTEND;TZID=CET:20230629T152500 DESCRIPTION:The European Ground Motion Service (EGMS) constitutes the first application of high-resolution monitoring of ground deformation for the C opernicus Participating States. It provides valuable information on geohaz ards and human-induced deformation thanks to the interferometric analysis of Sentinel-1 radar images. This challenging initiative constitutes the fi rst ground motion public dataset\, open and available for various applicat ions and studies.\n\n\nThe subject of this abstract is to validate the EGM S product in terms of spatial coverage and density of measurement points. A total of twelve sites have been selected for this activity\, covering va rious areas of Europe\, as well as representing equally the EGMS data proc essing entities. To measure the quality of the point density we employ ope n land cover data to evaluate the density per class. Furthermore\, we prop ose statistical parameters associated with the data processing and timeser ies estimation to ensure they are consistent across the different selected sites. \n\n\nThe usability criteria to be evaluated concern the completen ess of the product\, its consistency\, and the pointwise quality measures. Ensuring the completeness and consistency of the EGMS product is essentia l to its effective use. To achieve completeness\, it is important to ensur e that the data gaps and density measurements are consistent with the land cover classes that are prone to landscape variation. Consistency is also vital for point density across the same land cover class for different reg ions. For instance\, urban classes will have higher density than farming g rounds\, and this density should be consistent between the ascending and d escending products. Pointwise quality measures are critical in assessing t he quality of the EGMS PSI results. For example\, the temporal coherence i s expected to be higher in urban classes\, and the root-mean-square error should be lower. Overall\, these measures and standards are crucial in ens uring the usefulness and reliability of the EGMS product for a wide range of applications\, including environmental management\, urban planning\, an d disaster response.\n\n\nFor the validation of point density\, a dataset of 12 selected sites across Europe is used\, representing the four process ing entities (TRE Altamira\, GAF\, e-GEOSS\, NORCE). The aim of the point density validation activity is to ensure consistency across the EU territo ries by comparing the point density at three sites for each algorithm\, on e of which is in a rural mountainous area and the other two are urban. The dataset is obtained directly from the Copernicus Land – Urban Atlas 201 8 and contains validated Urban Atlas data with the different land cover cl asses polygons\, along with metadata and quality information. We have exte nsive Urban Atlas (version 2018) verified datasets on the cities of Barcel ona/Bucharest (covered by TRE Altamira)\, Bologna/Sofia (covered by e-GEOS S)\, Stockholm/Warsaw (covered by NORCE) and Brussels/Bratislava (covered by GAF). In parallel we select four different rural and mountainous areas to analyse more challenging scenarios as well for the four processing chai ns of the providers.\n\n\nThere are 27 different land cover classes define d in Urban Atlas. To facilitate the analysis and the interpretation of the results\, we aggregate and present our findings for each of the main CLC groups: Artificial Surfaces\, Forest and seminatural areas\, Agricultural areas\, Wetlands and Water bodies.\n\n\nFor the validation measures\, key performance indices (KPI) are calculated\, with values between 0 and 1. We normalise the estimated density values for each service provider with res pect to the highest value for Artificial surfaces\, Agricultural areas and Forest and seminatural areas. Users expect consistent and good densities in these classes\, specifically in the Artificial surfaces. And the lowest value for Wetlands and Water bodies. This will enable outlier detection s ince the applied algorithms should barely produce any measurement points o n these surfaces.\n\n\nRegarding the pre-processing of the data from EGMS\ , one of the challenges was the overlapping of bursts from different Senti nel-1 satellite tracks. If all bursts were included in the analysis\, area s with more track overlaps would result in a higher point density\, creati ng a bias in the data. To address this issue\, a custom algorithm was desi gned to identify and extract the unique\, non-overlapping polygon for each burst. This iterative algorithm was specifically designed to ensure a fai r comparison among different areas\, and to eliminate any biases that coul d impact the results of the analysis.\n\n\nIn conclusion\, as an open and freely available dataset\, the EGMS will provide valuable resources for a wide range of applications and studies\, including those that leverage fre e and open-source software for geospatial analysis. The validation results presented here will help to ensure the accuracy and reliability of the EG MS product\, thereby enabling further research and applications in areas s uch as geohazards\, environmental monitoring\, and infrastructure manageme nt.\n\n# References\nCostantini\, M.\, Minati\, F.\, Trillo\, F.\, Ferrett i\, A.\, Novali\, F.\, Passera\, E.\, Dehls\, J.\, Larsen\, Y.\, Marinkovi c\, P.\, Eineder\, M. and Brcic\, R.\, 2021\, July. European ground motion service (EGMS). In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (pp. 3293-3296). IEEE.\n\nAtlas\, U.\, 2018. Copernicus L and Monitoring Service. European Environment Agency: Copenhagen\, Denmark. DTSTAMP:20260423T014447Z LOCATION:UBT E / N209 - Floor 3 SUMMARY:Validating the European Ground Motion Service: An Assessment of Mea surement Point Density - Joan Sala Calero\, Joan Sala Calero URL:https://talks.osgeo.org/foss4g-2023-academic-track/talk/V9DXJC/ END:VEVENT END:VCALENDAR