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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)   

      Received:31 July 2024

      Published:07 November 2025

    • DOI: 10.11834/jrs.20254324     

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  • Yang Y J, Zhang R, Jiang H, Zhang B, Song Y F and Liu G X. 2025. Landslide susceptibility assessment of the Luding 9.5 earthquake area by fusing LT-1 ascending and descending ground deformation observations. National Remote Sensing Bulletin, 29(11):3079-3094 DOI: 10.11834/jrs.20254324.
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相关作者

SHI Yiwen 上海师范大学 环境与地理科学学院
YU Qinping 上海师范大学 环境与地理科学学院
LIN Wenpeng 上海师范大学 环境与地理科学学院;上海长三角城市湿地生态系统国家野外科学观测研究站
ZHANG Xiao 中国科学院空天信息创新研究院 数字地球重点实验室;可持续发展大数据国际研究中心
LIU Wendi 中国科学院空天信息创新研究院 数字地球重点实验室;可持续发展大数据国际研究中心;中国科学院大学
LIU Liangyun 中国科学院空天信息创新研究院 数字地球重点实验室;可持续发展大数据国际研究中心;中国科学院大学
DONG Wenqian 西安电子科技大学 空天地一体化综合业务网全国重点实验室
WANG Hao 西安电子科技大学 空天地一体化综合业务网全国重点实验室

相关机构

School of Environmental and Geographical Sciences, Shanghai Normal University
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Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences
International Research Center of Big Data for Sustainable Development Goals
University of Chinese Academy of Sciences
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