TU3.R10.4

DEEP LEARNING SATELLITE FUSION BASED HISTORICAL INUNDATION ESTIMATES FOR ACCURATE RETURN PERIOD ESTIMATES IN BANGLADESH

Jonathan Giezendanner, University of Arizona, United States; Mitchell Thomas, Max Mauerman, Columbia University, United States; Rohit Mukherjee, Alex Saunders, University of Arizona, United States; 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; Beth Tellman, University of Arizona, United States; ,
Session:
TU3.R10: Monitoring Flood Impacts using Satellite Remote Sensing and Machine Learning I Oral
Track:
Community-Contributed Sessions
Location:
Room 101
Presentation Time:
Tue, 18 Jul, 13:36 - 13:48 Pacific Time (UTC -8)
Session Chair:
Subit Chakrabarti, Floodbase
Session Manager:
Shankho Subhra Pal
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Session TU3.R10
TU3.R10.1: MAPPING AND MONITORING URBAN FLOOD EVENTS USING MULTI-SENSOR SATELLITE IMAGERY AND DEEP LEARNING
Rohit Mukherjee, Zhijie Zhang, Hannah Friedrich, Jonathan Giezendanner, Matthew Purri, Beth Tellman, The University of Arizona, United States
TU3.R10.2: INVESTIGATING THE EFFECT OF FLOODS ON URBAN GROWTH IN SOUTH ASIA: ANALYSIS USING REMOTE SENSING AND DEEP LEARNING METHODS
Prashanti Sharma, Rohit Mukherjee, Beth Tellman, University of Arizona, United States
TU3.R10.3: MAPPING URBAN FLOODING WITH CYGNSS AND COMPUTER VISION: A FLORIDA CASE STUDY
Tianjiao Pu, Cynthia Gerlein-Safdi, University of California, Berkeley, United States
TU3.R10.4: DEEP LEARNING SATELLITE FUSION BASED HISTORICAL INUNDATION ESTIMATES FOR ACCURATE RETURN PERIOD ESTIMATES IN BANGLADESH
Jonathan Giezendanner, University of Arizona, United States; Mitchell Thomas, Max Mauerman, Columbia University, United States; Rohit Mukherjee, Alex Saunders, University of Arizona, United States; 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; Beth Tellman, University of Arizona, United States; ,
TU3.R10.5: FLOOD AREA SEGMENTATION WITH ALOS-2/PALSAR-2 INTENSITY AND INTERFEROMETRIC COHERENCE WITH DEEP LEARNING
Kentaro Tanaka, Space Shift, Japan; Raveerat Jaturapitpornchai, Center for Cultural Heritage Technology, Italy; Shota Uchida, Syusuke Yasui, Tomonori Deguchi, Ryo Saito, Space Shift, Japan
Resources
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