TH4.R12: Advanced Flood Monitoring and Prediction for Global Disaster Risk Reduction I

Session Type: Oral
Time: Thursday, July 26, 16:50 - 18:30
Location: Room 2F
Session Chairs: Ramona-Maria Pelich, Luxembourg Institute of Science and Technology and Young-Joo Kwak, ICHARM-UNESCO, PWRI
 
16:50 - 17:23
TH4.R12.1: AN AUTOMATIC FLOOD MONITORING SERVICE FROM SENTINEL-1 SAR: PRODUCTS, DELIVERY PIPELINES, AND PERFORMANCE ASSESSMENT
         Franz J Meyer; University of Alaska Fairbanks
         Olaniyi Ajadi; University of Alaska Fairbanks
         Lori Schultz; University of Alabama Huntsville
         Jordan Bell; University of Alabama Huntsville
         Kenneth Arnoult; University of Alaska Fairbanks
         Rudiger Gens; University of Alaska Fairbanks
         Jeremy Nicoll; University of Alaska Fairbanks
 
17:23 - 17:39
TH4.R12.3: BLENDING MODIS AND AMSR2 TO PREDICT DAILY GLOBAL INUNDATION MAP IN 1KM RESOLUTION
         Wataru Takeuchi; The University of Tokyo
         Young-Joo Kwak; ICHARM-UNESCO
 
17:39 - 17:55
TH4.R12.4: A SENTINEL-1 TIMES SERIES-BASED EXCLUSION LAYER FOR IMPROVED FLOOD MAPPING IN ARID AREAS
         Sandro Martinis; German Aerospace Center (DLR)
 
17:56 - 18:12
TH4.R12.5: MONITORING OF INUNDATION DYNAMICS IN THE NORTH-AMERICAN PRAIRIE POTHOLE REGION USING SENTINEL-1 TIME SERIES
         Stefan Schlaffer; American University of Armenia
         Marco Chini; Luxembourg Institute of Science and Technology
         Ronald Pöppl; University of Vienna
         Renaud Hostache; Luxembourg Institute of Science and Technology
         Patrick Matgen; Luxembourg Institute of Science and Technology
 
18:13 - 18:29
TH4.R12.6: L-BAND SAR INTERFEROMETRIC ANALYSIS FOR FLOOD DETECTION IN URBAN AREA – A CASE STUDY IN 2015 JOSO FLOOD, JAPAN
         Ryo Natsuaki; The University of Tokyo
         Akira Hirose; The University of Tokyo