MO2.R15.4

A COMPARISON OF REMOTE SENSING APPROACHES TO ASSESS THE DEVASTATING MAY-JUNE 2022 FLOODING IN SYLHET, BANGLADESH

Alex Saunders, Jonathan Giezendanner, Beth Tellman, Ariful Islam, University of Arizona, United States; Arifuzzaman Bhuyan, Bangladesh Water Development Board, Bangladesh; A.K.M. Islam, Bangladesh University of Engineering and Technology, Bangladesh
Session:
MO2.R15: Advanced Flood Monitoring and Prediction for Disaster Risk Reduction and Resilient Infrastructure II Oral
Track:
Community-Contributed Sessions
Location:
Room F
Presentation Time:
Mon, 17 Jul, 16:21 - 16:33 Pacific Time (UTC -8)
Session Co-Chairs:
Young-Joo Kwak, NILIM-MLIT and Ramona Pelich, LIST
Session Manager:
Cristan Dave C. Zablan
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Session MO2.R15
MO2.R15.1: A SENTINEL-1/2-BASED SEASONAL REFERENCE WATER PRODUCT TO SUPPORT GLOBAL FLOOD MONITORING ACTIVITIES
Sandro Martinis, Sandro Groth, Marc Wieland, DLR, Germany
MO2.R15.2: AUTOMATIC FLOOD DETECTION AND INFORMATION PROVISION USING ALOS-2
Masato Ohki, Yuki Takakura, Shiro Kawakita, Takeo Tadono, Japan Aerospace Exploration Agency, Japan
MO2.R15.3: EFFECT OF TERRAIN INFORMATION ON MULTIMODAL DEEP LEARNING FOR FLOOD DISASTER DETECTION
Takashi Miyamoto, University of Yamanashi, Japan; Marco Stricker, German Research Center for Artificial Intelligence, Germany; Jun Ogishima, University of Yamanashi, Japan; Kevin Iselborn, University of Kaiserslautern-Landau, Germany; Marlon Nuske, Andreas Dengel, German Research Center for Artificial Intelligence, Germany
MO2.R15.4: A COMPARISON OF REMOTE SENSING APPROACHES TO ASSESS THE DEVASTATING MAY-JUNE 2022 FLOODING IN SYLHET, BANGLADESH
Alex Saunders, Jonathan Giezendanner, Beth Tellman, Ariful Islam, University of Arizona, United States; Arifuzzaman Bhuyan, Bangladesh Water Development Board, Bangladesh; A.K.M. Islam, Bangladesh University of Engineering and Technology, Bangladesh
MO2.R15.5: EARLY WARNING FOR ALL WITH A MODEL-OF-MODELS APPROACH
Guy Schumann, ImageCat Inc., United States; Bandana Kar, U.S. Department of Energy, United States; Prativa Sharma, University of Missouri, United States; Doug Bausch, Niyam IT Inc., United States; Jun Wang, Indiana University, United States; Margaret Glasscoe, University of Alabama in Huntsville, United States
Resources
No resources available.