TH2.R14.4

COUPLING CYGNSS AND DEM DATA FOR HIGH SPATIO-TEMPORAL MAPPING OF INUNDATION

Tianjiao Pu, Cynthia Gerlein-Safdi, University of California Berkeley, United States; Eric Kort, University of Michigan, United States; Anthony Bloom, Jet Propulsion Laboratory, United States; Mengze Li, University of Michigan, United States
Session:
TH2.R14: Earth Observations for Data-Driven Strategies to Improve Prediction of Floods and Their Impacts Oral
Track:
Community-Contributed Sessions
Location:
Room E
Presentation Time:
Thu, 20 Jul, 10:51 - 11:03 Pacific Time (UTC -8)
Session Co-Chairs:
Sophie Ricci, CERFACS and Raquel Rodriguez Suquet, CNES
Session Manager:
Yifan Yang
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Discussion
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Session TH2.R14
TH2.R14.1: Pattern-aware flash flood modeling with a 2D hydraulic-hydrological model and multi-source variational data assimilation
Léo Pujol, HydroSciences Montpellier, France; Shangzhi Chen, Anhui University of Science and Technology, China; Pierre-André Garambois, INRAE, Aix Marseille Univ., France; Jérôme Monnier, INSA, Institut de Mathematiques de Toulouse, France
TH2.R14.2: IMPROVED FLOOD MAPPING FOR EFFICIENT POLICY DESIGN BY FUSION OF SENTINEL-1, SENTINEL-2 AND LANDSAT-9 IMAGERY TO IDENTIFY POPULATION AND INFRASTRUCTURE EXPOSED TO FLOODS
Usman Nazir, Muhammad Ahmad Waseem, Falak Sher Khan, Rabia Saeed, Syed M Hasan, Momin Uppal, Zubair Khalid, Lahore University of Management Sciences, Pakistan
TH2.R14.3: HIGH-RESOLUTION IMAGE AND DEEP LEARNING MODEL FOR MONITORING DROUGHT AND FLOOD CONDITIONS OF SOYANG LAKE, SOUTH KOREA
Suci Ramayanti, Muhammad Fulki Fadhillah, Wahyu Luqmanul Hakim, BongChan Kim, Sungjae Park, Chang-Wook Lee, Kangwon National University, South Korea
TH2.R14.4: COUPLING CYGNSS AND DEM DATA FOR HIGH SPATIO-TEMPORAL MAPPING OF INUNDATION
Tianjiao Pu, Cynthia Gerlein-Safdi, University of California Berkeley, United States; Eric Kort, University of Michigan, United States; Anthony Bloom, Jet Propulsion Laboratory, United States; Mengze Li, University of Michigan, United States
TH2.R14.5: DEALING WITH NON-GAUSSIANITY OF SAR-DERIVED WET SURFACE RATIO FOR FLOOD EXTENT REPRESENTATION IMPROVEMENT
Thanh Huy Nguyen, Sophie Ricci, Andrea Piacentini, CERFACS, France; Ehouarn Simon, Toulouse INP, France; Raquel Rodriguez Suquet, Santiago Peña Luque, CNES, France
TH2.R14.6: GLOBAL DISCHARGE ESTIMATION FROM SWOT SATELLITE USING DATA ASSIMILATION - AN OPERATIONAL FRAMEWORK
Hind Oubanas, Pierre-Olivier Malaterre, Igor Gejadze, INRAE Occitanie, France
Resources
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