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Landslide susceptibility assessment of the Luding 9.5 earthquake area by fusing LT-1 ascending and descending ground deformation observations
- “In the field of landslide susceptibility assessment, researchers have integrated InSAR monitoring results with machine learning models to improve the accuracy and timeliness of landslide risk assessment.”
- Vol. 29, Issue 11, Pages: 3079-3094(2025)
DOI:10.11834/jrs.20254324
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Related Author
CUI Ying 北京师范大学 地理科学学部/遥感与数字地球全国重点实验室
CHEN Yunhao 北京师范大学 地理科学学部/遥感与数字地球全国重点实验室
GENG Hao 北京师范大学 地理科学学部/遥感与数字地球全国重点实验室
LI Kangning 中国矿业大学(北京) 地球科学与测绘工程学院
LI Xiaohui 北京市地质灾害防治研究所
CHEN Rui 西南交通大学 地球科学与工程学院
XIE Jiangliu 西南交通大学 地球科学与工程学院
YANG Yajie 西南交通大学 地球科学与工程学院
Related Institution
State Key Laboratory of Remote Sensing and Digital Earth/Faculty of Geographical Science, Beijing Normal University
College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing
Beijing Institute of Geological Hazard Prevention
Advanced Interdisciplinary Institute of Satellite Applications/State Key Laboratory of Earth Surface Process and Disaster Risk Reduction, Beijing Normal University
Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment


