InSAR-based landslide detection method with the assistance of C-index-Reference-Cited by-同舟云学术

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InSAR-based landslide detection method with the assistance of C-index

Published:2023-08-30 Issue:12 Volume:20 Page:2709-2723
ISSN:1612-510X
Container-title:Landslides
language:en
Short-container-title:Landslides

Author:

Xiong Zhiqiang,Zhang Mingzhi^ORCID,Ma Juan,Xing Gulian,Feng Guangcai,An Qi

Funder

Ministry of Natural Resources of the People's Republic of China

China Geological Survey

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Scientific Research Innovation Project for Graduate Students of Hunan Province

Fundamental Research Funds for Central Universities of the Central South University

Publisher

Springer Science and Business Media LLC

Subject

Geotechnical Engineering and Engineering Geology

Link

https://link.springer.com/content/pdf/10.1007/s10346-023-02120-9.pdf

Reference46 articles.

1. Aslan G, Foumelis M, Raucoules D, De Michele M, Bernardie S et al (2020) Landslide mapping and monitoring using persistent scatterer interferometry (PSI) technique in the French Alps. Remote Sens 12. https://doi.org/10.3390/rs12081305

2. Bekaert DPS, Handwerger AL, Agram P, Kirschbaum DB (2020) InSAR-based detection method for mapping and monitoring slow-moving landslides in remote regions with steep and mountainous terrain: an application to Nepal. Remote Sens Environ 249. https://doi.org/10.1016/j.rse.2020.111983

3. Berardino P, Fornaro G, Lanari R, Sansosti E (2002) A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms. IEEE T Geosci Remote 40:2375–2383. https://doi.org/10.1109/TGRS.2002.803792

4. Bonì R, Bordoni M, Vivaldi V, Troisi C, Tararbra M et al (2020) Assessment of the Sentinel-1 based ground motion data feasibility for large scale landslide monitoring. Landslides 17:2287–2299. https://doi.org/10.1007/s10346-020-01433-3

5. Bru G, Escayo J, Fernández J, Mallorqui JJ et al (2018) Suitability assessment of X-band satellite SAR data for geotechnical monitoring of site scale slow moving landslides. Remote Sens 10. https://doi.org/10.3390/rs10060936

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Deep-Learning-Based Algorithm for Landslide Detection over Wide Areas Using InSAR Images Considering Topographic Features;Sensors;2024-07-15

2. DACLnet: A Dual-Attention-Mechanism CNN-LSTM Network for the Accurate Prediction of Nonlinear InSAR Deformation;Remote Sensing;2024-07-05

3. Deformation Characteristics and Activation Dynamics of the Xiaomojiu Landslide in the Upper Jinsha River Basin Revealed by Multi-Track InSAR Analysis;Remote Sensing;2024-05-28

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