2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

MO2.R2.3

Flood Mapping Using UAVSAR and Convolutional Neural Networks

Michael Denbina, Zaid Towfic, Matthew Thill, Brian Bue, Neda Kasraee, Annemarie Peacock, Yunling Lou, NASA Jet Propulsion Laboratory, California Institute of Technology, United States
Session:
Advanced Flood Monitoring and Prediction for Disaster Risk Reduction and Resilient Infrastructure
Track:
Invited Sessions
Presentation Time:
Mon, 28 Sep, 15:00-15:10 (UTC)
Mon, 28 Sep, 23:00-23:10 China Standard Time (UTC +8)
Mon, 28 Sep, 17:00-17:10 Central Europe Summer Time (UTC +2)
Mon, 28 Sep, 08:00-08:10 Pacific Daylight Time (UTC -7)
Session Co-Chairs:
Ramona Pelich, Luxembourg Institute of Science and Technology and Young-Joo Kwak, National Institute for Land and Infrastructure Management (NILIM-MLIT) and Test Chair, [N/A]
Session Managers:
Damilola Oladeji and Vinit Sehgal

Presentation

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Session

MO2.R2.1: APPLYING REMOTE SENSING TO SUPPORT FLOOD RISK ASSESSMENT AND RELIEF AGENCIES: A GLOBAL TO LOCAL APPROACH
Albert J. Kettner, University of Colorado, United States; Guy J.-P. Schumann, Remote Sensing Solutions, United States; G. Robert Brakenridge, University of Colorado, United States
MO2.R2.2: AUTOMATIC NEAR-REAL TIME FLOOD EXTENT AND DURATION MAPPING BASED ON MULTI-SENSOR EARTH OBSERVATION DATA
Sandro Martinis, Marc Wieland, Michaela Rättich, Christian Böhnke, Torsten Riedlinger, German Aerospace Center (DLR), Germany
MO2.R2.3: Flood Mapping Using UAVSAR and Convolutional Neural Networks
Michael Denbina, Zaid Towfic, Matthew Thill, Brian Bue, Neda Kasraee, Annemarie Peacock, Yunling Lou, NASA Jet Propulsion Laboratory, California Institute of Technology, United States
MO2.R2.4: SYSTEMATIC AND AUTOMATIC LARGE-SCALE FLOOD MONITORING SYSTEM USING SENTINEL-1 SAR DATA
Marco Chini, Ramona Pelich, Renaud Hostache, Patrick Matgen, Christian Bossung, Luxembourg Institute of Science and Technology, Luxembourg; Paolo Campanella, FadeOut Software srl, Italy; Roberto Rudari, CIMA Research Foundation, Italy; Philippe Bally, European Space Agency (ESA-ESRIN), Italy
MO2.R2.5: THE ROLE OF CO- AND CROSS-POLARIZATIONS INSAR COHERENCES IN MAPPING FLOODED URBAN AREAS
Marco Chini, Ramona Pelich, Luxembourg Institute of Science and Technology, Luxembourg; Luca Pulvirenti, CIMA Research Foundation, Italy; Nazzareno Pierdicca, Sapienza University of Rome, Italy; Renaud Hostache, Patrick Matgen, Luxembourg Institute of Science and Technology, Luxembourg
MO2.R2.6: A STUDY OF AUTOMATIC FLOOD-AREA DETECION USING ALOS-2 AND ANCILLARY DATA
Masato Ohki, Kosuke Yamamoto, Takeo Tadono, Japan Aerospace Exploration Agency, Japan
MO2.R2.7: MULTI-PERSPECTIVE FRAMEWORK FOR 4D-BIM-INFRASTRUCTURE MANAGEMENT BY UTILIZING EO DATA
Young-Joo Kwak, National Institute for Land and Infrastructure Management (NILIM-MLIT), Japan
MO2.R2.8: AUTOMATED INDUNATION MAPPING: COMPARISON OF METHODS
Asmamaw Gebrehiwot, Leila Hashemi-Beni, North Carolina Agricultural and Technical State University, United States