WEP2.PQ.2
Integrating remote sensing data and AI technique to improve flood forecasting capability
Yangbo Chen, Sun Yat-sen University, China
Session:
WEP2.PQ: RS for Natural Disaster Monitoring and Management II Poster
Track:
Special Scientific Themes
Location:
Poster Area
Presentation Time:
Wednesday, 6 August, 14:30 - 15:45
Presentation
Discussion
Resources
No resources available.
Session WEP2.PQ
WEP2.PQ.1: GROUND DEFORMATION SURVEILLANCE VIA COMMUNICATION BASE STATION AND FIRST EXPERIMENTAL RESULTS
Jiabao Xi, Zhiyong Suo, Jingjing Ti, XIDIAN University, China; Li'an Li, Huawei Shanghai Research Institute, China
WEP2.PQ.6: Integrating remote sensing data and AI technique to improve flood forecasting capability
Yangbo Chen, Sun Yat-sen University, China
WEP2.PQ.10: DUAL-SUPERPIXEL GRAPH CONVOLUTIONAL NETWORK FOR LANDSLIDE SUSCEPTIBILITY MAPPING
Yuchen Li, Tao Chen, China University of Geosciences, China
WEP2.PQ.2: AN INTERPRETABLE MACHINE LEARNING MODEL FOR SNOWSTORM RISK IDENTIFICATION AND ASSESSMENT
Zhenyu YANG, Hideomi GOKON, Japan Advanced Institute of Science and Technology, Japan
WEP2.PQ.3: IOT BASED LAKE MONITORING SYSTEM
ANJALI SHIVSHARAN, Surya S Durbha, Pratyush Talreja, Indian Institute of Technology Bombay, India
Resources
No resources available.