WE3.S1.4
Integrating Remote Sensing and Machine Learning for High-Resolution Landslide Susceptibility Mapping in the South Sikkim Himalaya.
Saurabh Singh, Banaras Hindu University, India
Session:
WE3.S1: RS for Natural Disaster Monitoring and Management: Drought & Fires Oral
Track:
Special Scientific Themes
Location:
Room S1
Presentation Time:
Wednesday, 6 August, 14:00 - 14:15
Presentation
Discussion
Resources
No resources available.
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.S1.5: ESTIMATING CO2 EMISSIONS FROM WILDFIRE-INDUCED BIOMASS LOSS USING SATELLITE REMOTE SENSING
Elizabeth Menezes, Hong Xu, Shengan Zhan, ESRI, United States
WE3.S1.5: Integrating Remote Sensing and Machine Learning for High-Resolution Landslide Susceptibility Mapping in the South Sikkim Himalaya.
Saurabh Singh, Banaras Hindu University, India
WE3.S1.4: ADVANCING INUNDATION MAPPING: HARNESSING L- AND P-BAND SAR DATA FOR ACCURATE FLOOD DETECTION
Bishwajit Dhar, Jeffrey Walker, Monash University, Australia; Brian Ng, The University of Adelaide, Australia; Congying Li, The University of Newcastle, Australia
Resources
No resources available.