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
