WE3.S1.5
MACHINE LEARNING MODEL-BASED LANDSLIDE SUSCEPTIBILITY ASSESSMENT FOR KEY SECTION OF SICHUAN-TIBET RAILWAY
Wenhuan Wu, Buyu Su, Beijing Research Institute of Uranium Geology, China; Haowei Mu, Nanjing University, China; Piyuan Yi, Ermao Suo, Pengfei Liu, Beijing Research Institute of Uranium Geology, China
Session:
WE3.S1: RS for Natural Disaster Monitoring and Management II Oral
Track:
Special Scientific Themes
Location:
Sky: Room S1
Presentation Time:
Wednesday, 6 August, 14:15 - 14:30
Session Co-Chairs:
Hossein Aghababaei, University of Twente and Sneha Kulkarni, University of Tokyo
Session WE3.S1
WE3.S1.1: ANNUAL CROP YIELD PREDICTIONS USING AI AND EO
Hempushpa Sahu, Pradeep Kumar Garg, Saurabh Vijay, Indian Institute of Technology Roorkee, India; Antara Dasgupta, RWTH Aachen University, Germany
WE3.S1.2: ADVANCING AGRO-CLIMATOLOGICAL DROUGHT MONITORING: THE GLOBAL COMBINED DROUGHT MONITORING DATASET
Sneha Kulkarni, Yohei Sawada, The University of Tokyo, Japan
WE3.S1.3: THE POTENTIAL OF SMAP L4 SOIL MOISTURE PRODUCT IN IDENTIFYING FOREST FIRE RISKS
NA YANG, FENG XIANG, Ningbo University of Technology, China
WE3.S1.4: ESTIMATING CO2 EMISSIONS FROM WILDFIRE-INDUCED BIOMASS LOSS USING SATELLITE REMOTE SENSING
Elizabeth Menezes, Hong Xu, Shengan Zhan, ESRI, United States
WE3.S1.5: MACHINE LEARNING MODEL-BASED LANDSLIDE SUSCEPTIBILITY ASSESSMENT FOR KEY SECTION OF SICHUAN-TIBET RAILWAY
Wenhuan Wu, Buyu Su, Beijing Research Institute of Uranium Geology, China; Haowei Mu, Nanjing University, China; Piyuan Yi, Ermao Suo, Pengfei Liu, Beijing Research Institute of Uranium Geology, China
Resources