TU4.R10: Monitoring Flood Impacts using Satellite Remote Sensing and Machine Learning II
Tue, 18 Jul, 15:45 - 17:00 Pacific Time (UTC -7)
Location: Room 10
Session Type: Oral
Track: Community-Contributed Sessions
Tue, 18 Jul, 15:45 - 15:57 Pacific Time (UTC -7)

TU4.R10.2: MAPPING URBAN FLOODING WITH CYGNSS AND COMPUTER VISION: A FLORIDA CASE STUDY
Tianjiao Pu, Cynthia Gerlein-Safdi, University of California, Berkeley, United States
Tue, 18 Jul, 15:57 - 16:09 Pacific Time (UTC -7)

TU4.R10.3: DEEP LEARNING SATELLITE FUSION BASED HISTORICAL INUNDATION ESTIMATES FOR ACCURATE RETURN PERIOD ESTIMATES IN BANGLADESH
Jonathan Giezendanner, Rohit Mukherjee, Alex Saunders, Beth Tellman, University of Arizona, United States; Mitchell Thomas, Max Mauerman, Upmanu Lall, Columbia University, United States; Arifuzzaman Bhuyan, Bangladesh Water Development Board, Bangladesh; A.K.M. Saiful Islam, Bangladesh University of Engineering and Technology, Bangladesh; ,
Tue, 18 Jul, 16:09 - 16:21 Pacific Time (UTC -7)

TU4.R10.4: FLOOD AREA SEGMENTATION WITH ALOS-2/PALSAR-2 INTENSITY AND INTERFEROMETRIC COHERENCE WITH DEEP LEARNING
Kentaro Tanaka, Shota Uchida, Syusuke Yasui, Tomonori Deguchi, Ryo Saito, Space Shift, Japan; Raveerat Jaturapitpornchai, Center for Cultural Heritage Technology, Italy
Tue, 18 Jul, 16:21 - 16:33 Pacific Time (UTC -7)

TU4.R10.5: ESTIMATING RETURN PERIODS OF VIIRS-DERIVED FLOOD MAPS USING THE 20-YEAR MODIS RECORD
Maxwell Goodman, Veda Sunkara, Colin Doyle, Nick Leach, Beth Tellman, Cloud to Street, United States
Tue, 18 Jul, 16:33 - 16:48 Pacific Time (UTC -7)

TU4.R10.D: Discussion