FRP2.PR.2
FLOOD EXTENT PREDICTION USING REMOTE SENSING DATA BASED ON MACHINE LEARNING AND DEMPSTER-SHAFER THEORY: A CASE STUDY OF NAGANO CITY
Yifan YANG, Hideomi GOKON, Japan Advanced Institute of Science and Technology, Japan; Wataru TAKEUCHI, The University of Tokyo, Japan
Session:
FRP2.PR: Earth Observation data and Smart Early Warning based Decision Support Systems (DSS) for Disaster Management and Risk Reduction II Poster
Track:
Community-Contributed Sessions
Location:
Poster Area
Presentation Time:
Friday, 8 August, 14:30 - 15:45
Presentation
Discussion
Resources
No resources available.
Session FRP2.PR
FRP2.PR.1: Remote Sensing and GIS Applications for Assessing Flood Vulnerability of Cultural Heritage Sites in Hue City, Central Vietnam
Marsia Sanità, Marche Polytechnic University, Italy; Houng Do Thi Viet, Hue University, Viet Nam; Roberto Pierdicca, Eva Savina Malinverni, Francesco Di Stefano, Marche Polytechnic University, Italy
FRP2.PR.2: FLOOD EXTENT PREDICTION USING REMOTE SENSING DATA BASED ON MACHINE LEARNING AND DEMPSTER-SHAFER THEORY: A CASE STUDY OF NAGANO CITY
Yifan YANG, Hideomi GOKON, Japan Advanced Institute of Science and Technology, Japan; Wataru TAKEUCHI, The University of Tokyo, Japan
FRP2.PR.3: CONSTRUCTION AND CALIBRATIONS OF OUTDOOR MICROWAVE RADIATION DETECTION SYSTEM IN ROCK LOADING EXPERIMENTS
Wenfei Mao, Guangrui Dong, Licheng Sun, Tao Zheng, Central South University, China; Haofeng Dou, China Academy of Space Technology (Xi’an), China
Resources
No resources available.