研究论文

A novel physics-informed neural network framework enhanced by MT-InSAR for landslide susceptibility mapping

Fancheng Zhao, Fasheng Miao, Yiping Wu, Guyue Zheng, Zhao Qian, Shunqi Gong

China University of Geosciences　Disaster Prevention Research Institute, Kyoto University　State Grid Corporation of China (China)

来源Gondwana Research

年份2026

DOI10.1016/j.gr.2026.06.002

原文https://doi.org/10.1016/j.gr.2026.06.002

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逐年被引趋势

110

126

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7.28

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学术脉络

学科主题

物理

Landslides and related hazards

Geotechnical Engineering and Analysis · Synthetic Aperture Radar (SAR) Applications and Techniques

参考文献 48

GIS techniques and statistical models in evaluating landslide hazard

Alberto Carrara, Mauro Cardinali, R. Detti · Earth Surface Processes and Landforms · 1991

被引 981

Geomorphological and historical data in assessing landslide hazard

Alberto Carrara, Giovanni B. Crosta, Paolo Frattini · Earth Surface Processes and Landforms · 2003

被引 194

The combination of DInSAR and facility damage data for the updating of slow-moving landslide inventory maps at medium scale

Leonardo Cascini, Dario Peduto, Giovanni Pisciotta · Natural hazards and earth system sciences · 2013

被引 94

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引用本文 1

Improving Landslide Susceptibility Mapping with IF-KMeans Negative Sampling for Geological Disaster Prevention

Shouhua Wang, Xiang Chen, Boyang Fan · Sustainability · 2026

被引 0

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