Articles | Volume 13, issue 11
https://doi.org/10.5194/nhess-13-2851-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-13-2851-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
15 Nov 2013
Research article |
| 15 Nov 2013
Pre-, co-, and post- rockslide analysis with ALOS/PALSAR imagery: a case study of the Jiweishan rockslide, China
College of Geology Engineering and Geomatics, Chang'an University, Xian, Shaanxi, 710054, China
Key Laboratory of Western China's Mineral Resources and Geological Engineering, Ministry of Education, No.126 Yanta Road, Xian, Shaanxi, 710054, China
Q. Zhang
College of Geology Engineering and Geomatics, Chang'an University, Xian, Shaanxi, 710054, China
Key Laboratory of Western China's Mineral Resources and Geological Engineering, Ministry of Education, No.126 Yanta Road, Xian, Shaanxi, 710054, China
Y. Yin
China Geological Survey, 45 Fuwai Dajie, Xicheng District, Beijing, 100037, China
Z. Lu
Roy M. Huffington Department of Earth Sciences, Southern Methodist University, Dallas, Texas, USA
C. Yang
College of Geology Engineering and Geomatics, Chang'an University, Xian, Shaanxi, 710054, China
Key Laboratory of Western China's Mineral Resources and Geological Engineering, Ministry of Education, No.126 Yanta Road, Xian, Shaanxi, 710054, China
W. Zhu
Department of Land Surveying and Geo-Informatics, Hong Kong Polytechnic University, Hong Kong, China
B. Li
Institute of Geomechanics, Chinese Academy of Geological Sciences, South Road, Minzuxueyuan, Beijing, 100081, China
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Cited
37 citations as recorded by crossref.
- Investigating a reservoir bank slope displacement history with multi-frequency satellite SAR data X. Shi et al. https://doi.org/10.1007/s10346-017-0846-3
- Landslide detection based on height and amplitude differences using pre- and post-event airborne X-band SAR data J. Uemoto et al. https://doi.org/10.1007/s11069-018-3492-8
- Landslide deformation monitoring with ALOS/PALSAR imagery: A D-InSAR geomorphological interpretation method R. Schlögel et al. https://doi.org/10.1016/j.geomorph.2014.11.031
- Landslide detection using COSMO-SkyMed images: a case study of a landslide event on Kii Peninsula, Japan T. Konishi & Y. Suga https://doi.org/10.1080/22797254.2017.1418185
- Remote sensing for landslide investigations: A progress report from China Q. Xu et al. https://doi.org/10.1016/j.enggeo.2023.107156
- Deep learning and geospatial approaches for post-flood disaster damage assessment: a systematic review L. Mabina et al. https://doi.org/10.1007/s12518-026-00745-8
- Soil Moisture Affects Multitemporal InSAR Deformation Monitoring via Dielectric Property Changes M. Ao et al. https://doi.org/10.1109/TGRS.2025.3633630
- Updating Inventory, Deformation, and Development Characteristics of Landslides in Hunza Valley, NW Karakoram, Pakistan by SBAS-InSAR X. Su et al. https://doi.org/10.3390/rs14194907
- Interferometric Synthetic Aperture Radar Applicability Analysis for Potential Landslide Identification in Steep Mountainous Areas with C/L Band Data J. Deng et al. https://doi.org/10.3390/rs15184538
- Deformation and failure mechanism of a mining slope under mining blasting and rainfall Y. Zhu et al. https://doi.org/10.1007/s10064-025-04295-y
- Detection and monitoring of mining-induced subsidence with Gaofen-3 and Sentinel-1A SAR datasets Y. Zhang et al. https://doi.org/10.1080/2150704X.2024.2346182
- SBAS-InSAR Monitoring of Landslides and Glaciers Along the Karakoram Highway Between China and Pakistan B. Khan et al. https://doi.org/10.3390/rs17040605
- Monitoring land subsidence in the southern part of the lower Liaohe plain, China with a multi-track PS-InSAR technique H. Sun et al. https://doi.org/10.1016/j.rse.2016.10.037
- A spaceborne SAR-based procedure to support the detection of landslides G. Esposito et al. https://doi.org/10.5194/nhess-20-2379-2020
- Analysis of Landslide Movements Using Interferometric Synthetic Aperture Radar: A Case Study in Hunza-Nagar Valley, Pakistan M. Rehman et al. https://doi.org/10.3390/rs12122054
- Sentinel-1 SAR Amplitude Imagery for Rapid Landslide Detection A. Mondini et al. https://doi.org/10.3390/rs11070760
- Application of InSAR Techniques to an Analysis of the Guanling Landslide Y. Kang et al. https://doi.org/10.3390/rs9101046
- Active landslide detection using integrated remote sensing technologies for a wide region and multiple stages: A case study in southwestern China H. Lu et al. https://doi.org/10.1016/j.scitotenv.2024.172709
- Evolution mechanisms of spatiotemporal differential deformation in locked-segment landslides: insights from the Jiweishan Landslide in Chongqing, China M. Zhou et al. https://doi.org/10.1007/s10346-025-02664-y
- Landslide Identification and Monitoring along the Jinsha River Catchment (Wudongde Reservoir Area), China, Using the InSAR Method C. Zhao et al. https://doi.org/10.3390/rs10070993
- Adaptability Analysis of Sentinel−1A and ALOS/PALSAR−2 in Landslide Detection in the Qinling-Daba Mountains S. Yang et al. https://doi.org/10.3390/app132112080
- Potential sliding zone recognition method for the slow-moving landslide based on the Hurst exponent H. Yang et al. https://doi.org/10.1016/j.jrmge.2023.08.007
- Retrieving the Kinematic Process of Repeated-Mining-Induced Landslides by Fusing SAR/InSAR Displacement, Logistic Model, and Probability Integral Method H. Chen et al. https://doi.org/10.3390/rs15123145
- Heavy-rainfall-induced catastrophic rockslide-debris flow at Sanxicun, Dujiangyan, after the Wenchuan Ms 8.0 earthquake Y. Yin et al. https://doi.org/10.1007/s10346-015-0554-9
- A constrained small baseline subsets (CSBAS) InSAR technique for multiple subsets Y. Liu et al. https://doi.org/10.1080/22797254.2019.1707715
- Deformation monitoring and failure mode research of mining-induced Jianshanying landslide in karst mountain area, China with ALOS/PALSAR-2 images L. Chen et al. https://doi.org/10.1007/s10346-021-01678-6
- Small-scale loess landslide monitoring with small baseline subsets interferometric synthetic aperture radar technique—case study of Xingyuan landslide, Shaanxi, China C. Zhao et al. https://doi.org/10.1117/1.JRS.10.026030
- Characterization of pre- and post-failure deformation and evolution of the Shanyang landslide using multi-temporal remote sensing data J. Zhan et al. https://doi.org/10.1007/s10346-024-02257-1
- Large-Scale Land Deformation Monitoring over Southern California with Multi-Path SAR Data M. Ao et al. https://doi.org/10.3390/rs15010143
- Characterizing the evolution life cycle of the Sunkoshi landslide in Nepal with multi-source SAR data M. Ao et al. https://doi.org/10.1038/s41598-020-75002-y
- Average-DInSAR method for unstable escarpments detection induced by underground coal mining X. Yao et al. https://doi.org/10.1016/j.jag.2021.102489
- Rapid Damage Assessment by Means of Multi-Temporal SAR — A Comprehensive Review and Outlook to Sentinel-1 S. Plank https://doi.org/10.3390/rs6064870
- Identifying the spatiotemporal characteristics of individual red bed landslides: a case study in Western Yunnan, China X. Zhao et al. https://doi.org/10.1007/s11629-022-7339-0
- Machine learning-driven integration of time-series InSAR and multiple surface factors for landslide identification and susceptibility assessment Q. Wang et al. https://doi.org/10.1080/17538947.2025.2543561
- Pre-Event Deformation and Failure Mechanism Analysis of the Pusa Landslide, China with Multi-Sensor SAR Imagery L. Chen et al. https://doi.org/10.3390/rs12050856
- Landslide Detection in the Linzhi–Ya’an Section along the Sichuan–Tibet Railway Based on InSAR and Hot Spot Analysis Methods J. Zhang et al. https://doi.org/10.3390/rs13183566
- Deformation Slope Extraction and Influencing Factor Analysis Using LT-1 Satellite Data: A Case Study of Chongqing and Surrounding Areas, China J. Liu et al. https://doi.org/10.3390/rs17010156
37 citations as recorded by crossref.
- Investigating a reservoir bank slope displacement history with multi-frequency satellite SAR data X. Shi et al. https://doi.org/10.1007/s10346-017-0846-3
- Landslide detection based on height and amplitude differences using pre- and post-event airborne X-band SAR data J. Uemoto et al. https://doi.org/10.1007/s11069-018-3492-8
- Landslide deformation monitoring with ALOS/PALSAR imagery: A D-InSAR geomorphological interpretation method R. Schlögel et al. https://doi.org/10.1016/j.geomorph.2014.11.031
- Landslide detection using COSMO-SkyMed images: a case study of a landslide event on Kii Peninsula, Japan T. Konishi & Y. Suga https://doi.org/10.1080/22797254.2017.1418185
- Remote sensing for landslide investigations: A progress report from China Q. Xu et al. https://doi.org/10.1016/j.enggeo.2023.107156
- Deep learning and geospatial approaches for post-flood disaster damage assessment: a systematic review L. Mabina et al. https://doi.org/10.1007/s12518-026-00745-8
- Soil Moisture Affects Multitemporal InSAR Deformation Monitoring via Dielectric Property Changes M. Ao et al. https://doi.org/10.1109/TGRS.2025.3633630
- Updating Inventory, Deformation, and Development Characteristics of Landslides in Hunza Valley, NW Karakoram, Pakistan by SBAS-InSAR X. Su et al. https://doi.org/10.3390/rs14194907
- Interferometric Synthetic Aperture Radar Applicability Analysis for Potential Landslide Identification in Steep Mountainous Areas with C/L Band Data J. Deng et al. https://doi.org/10.3390/rs15184538
- Deformation and failure mechanism of a mining slope under mining blasting and rainfall Y. Zhu et al. https://doi.org/10.1007/s10064-025-04295-y
- Detection and monitoring of mining-induced subsidence with Gaofen-3 and Sentinel-1A SAR datasets Y. Zhang et al. https://doi.org/10.1080/2150704X.2024.2346182
- SBAS-InSAR Monitoring of Landslides and Glaciers Along the Karakoram Highway Between China and Pakistan B. Khan et al. https://doi.org/10.3390/rs17040605
- Monitoring land subsidence in the southern part of the lower Liaohe plain, China with a multi-track PS-InSAR technique H. Sun et al. https://doi.org/10.1016/j.rse.2016.10.037
- A spaceborne SAR-based procedure to support the detection of landslides G. Esposito et al. https://doi.org/10.5194/nhess-20-2379-2020
- Analysis of Landslide Movements Using Interferometric Synthetic Aperture Radar: A Case Study in Hunza-Nagar Valley, Pakistan M. Rehman et al. https://doi.org/10.3390/rs12122054
- Sentinel-1 SAR Amplitude Imagery for Rapid Landslide Detection A. Mondini et al. https://doi.org/10.3390/rs11070760
- Application of InSAR Techniques to an Analysis of the Guanling Landslide Y. Kang et al. https://doi.org/10.3390/rs9101046
- Active landslide detection using integrated remote sensing technologies for a wide region and multiple stages: A case study in southwestern China H. Lu et al. https://doi.org/10.1016/j.scitotenv.2024.172709
- Evolution mechanisms of spatiotemporal differential deformation in locked-segment landslides: insights from the Jiweishan Landslide in Chongqing, China M. Zhou et al. https://doi.org/10.1007/s10346-025-02664-y
- Landslide Identification and Monitoring along the Jinsha River Catchment (Wudongde Reservoir Area), China, Using the InSAR Method C. Zhao et al. https://doi.org/10.3390/rs10070993
- Adaptability Analysis of Sentinel−1A and ALOS/PALSAR−2 in Landslide Detection in the Qinling-Daba Mountains S. Yang et al. https://doi.org/10.3390/app132112080
- Potential sliding zone recognition method for the slow-moving landslide based on the Hurst exponent H. Yang et al. https://doi.org/10.1016/j.jrmge.2023.08.007
- Retrieving the Kinematic Process of Repeated-Mining-Induced Landslides by Fusing SAR/InSAR Displacement, Logistic Model, and Probability Integral Method H. Chen et al. https://doi.org/10.3390/rs15123145
- Heavy-rainfall-induced catastrophic rockslide-debris flow at Sanxicun, Dujiangyan, after the Wenchuan Ms 8.0 earthquake Y. Yin et al. https://doi.org/10.1007/s10346-015-0554-9
- A constrained small baseline subsets (CSBAS) InSAR technique for multiple subsets Y. Liu et al. https://doi.org/10.1080/22797254.2019.1707715
- Deformation monitoring and failure mode research of mining-induced Jianshanying landslide in karst mountain area, China with ALOS/PALSAR-2 images L. Chen et al. https://doi.org/10.1007/s10346-021-01678-6
- Small-scale loess landslide monitoring with small baseline subsets interferometric synthetic aperture radar technique—case study of Xingyuan landslide, Shaanxi, China C. Zhao et al. https://doi.org/10.1117/1.JRS.10.026030
- Characterization of pre- and post-failure deformation and evolution of the Shanyang landslide using multi-temporal remote sensing data J. Zhan et al. https://doi.org/10.1007/s10346-024-02257-1
- Large-Scale Land Deformation Monitoring over Southern California with Multi-Path SAR Data M. Ao et al. https://doi.org/10.3390/rs15010143
- Characterizing the evolution life cycle of the Sunkoshi landslide in Nepal with multi-source SAR data M. Ao et al. https://doi.org/10.1038/s41598-020-75002-y
- Average-DInSAR method for unstable escarpments detection induced by underground coal mining X. Yao et al. https://doi.org/10.1016/j.jag.2021.102489
- Rapid Damage Assessment by Means of Multi-Temporal SAR — A Comprehensive Review and Outlook to Sentinel-1 S. Plank https://doi.org/10.3390/rs6064870
- Identifying the spatiotemporal characteristics of individual red bed landslides: a case study in Western Yunnan, China X. Zhao et al. https://doi.org/10.1007/s11629-022-7339-0
- Machine learning-driven integration of time-series InSAR and multiple surface factors for landslide identification and susceptibility assessment Q. Wang et al. https://doi.org/10.1080/17538947.2025.2543561
- Pre-Event Deformation and Failure Mechanism Analysis of the Pusa Landslide, China with Multi-Sensor SAR Imagery L. Chen et al. https://doi.org/10.3390/rs12050856
- Landslide Detection in the Linzhi–Ya’an Section along the Sichuan–Tibet Railway Based on InSAR and Hot Spot Analysis Methods J. Zhang et al. https://doi.org/10.3390/rs13183566
- Deformation Slope Extraction and Influencing Factor Analysis Using LT-1 Satellite Data: A Case Study of Chongqing and Surrounding Areas, China J. Liu et al. https://doi.org/10.3390/rs17010156
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