BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//talks.staging.osgeo.org//foss4g-it-2023//talk//EHR9BQ 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-EHR9BQ@talks.staging.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:20260517T234943Z 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.staging.osgeo.org/foss4g-it-2023/talk/EHR9BQ/ END:VEVENT END:VCALENDAR