NH6.2

Space-based geodetic techniques including Interferometric Synthetic Aperture Radar (InSAR) and SAR-based change detection have become essential tools for high-quality mapping and analysis of the damage, change and deformation induced by natural and anthropogenic processes. Processing of these data have led to many new insights into understanding of geophysical and geological processes related to earthquakes, volcanic eruptions, landslides, sinkholes, floods, glaciers, and groundwater exploitation. They are also extremely useful for civil protection authorities for post-disaster response, detecting precursors of failure, and planning warning systems for areas prone to risk.
All scientists exploiting SAR/InSAR data to address challenges in the areas of the geosphere, cryosphere, biosphere and hydrosphere are cordially invited to contribute to this session. We welcome contributions from innovative processing algorithms, interpretation and modelling methods that are used for generating high-level products from SAR data for applications in earth and environmental sciences. Submissions are encouraged to cover a broad range of topics, which may include, but are not limited to, the following activities: SAR/InSAR algorithm development including cloud-based computing, deep learning and big data analysis, crustal deformation and earthquake cycle, landslides, volcanic processes, land subsidence, sinkholes, mining activities, infrastructure monitoring, flood monitoring, forest biomass and agriculture, glacier and ice dynamics, and permafrost

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Co-organized by G6/SM5
Convener: Mahdi Motagh | Co-conveners: Ziyadin Cakir, Oriol Monserrat
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| Attendance Fri, 08 May, 08:30–12:30 (CEST)

Space-based geodetic techniques including Interferometric Synthetic Aperture Radar (InSAR) and SAR-based change detection have become essential tools for high-quality mapping and analysis of the damage, change and deformation induced by natural and anthropogenic processes. Processing of these data have led to many new insights into understanding of geophysical and geological processes related to earthquakes, volcanic eruptions, landslides, sinkholes, floods, glaciers, and groundwater exploitation. They are also extremely useful for civil protection authorities for post-disaster response, detecting precursors of failure, and planning warning systems for areas prone to risk.
All scientists exploiting SAR/InSAR data to address challenges in the areas of the geosphere, cryosphere, biosphere and hydrosphere are cordially invited to contribute to this session. We welcome contributions from innovative processing algorithms, interpretation and modelling methods that are used for generating high-level products from SAR data for applications in earth and environmental sciences. Submissions are encouraged to cover a broad range of topics, which may include, but are not limited to, the following activities: SAR/InSAR algorithm development including cloud-based computing, deep learning and big data analysis, crustal deformation and earthquake cycle, landslides, volcanic processes, land subsidence, sinkholes, mining activities, infrastructure monitoring, flood monitoring, forest biomass and agriculture, glacier and ice dynamics, and permafrost

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