Sensitivity Evaluation of Time Series InSAR Monitoring Results for Landslide Detection
Spaceborne interferometric synthetic aperture radar (InSAR) techniques are important for landslide detection and monitoring; however, several limitations and uncertainties, such as the unique north–south flying direction and side-look radar observing geometry, currently limit the ability of InSAR to...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-08-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/15/3906 |
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| author | Liming He Panke Pei Xiangning Zhang Ji Qi Jiuyang Cai Wang Cao Ruibo Ding Yachun Mao |
| author_facet | Liming He Panke Pei Xiangning Zhang Ji Qi Jiuyang Cai Wang Cao Ruibo Ding Yachun Mao |
| author_sort | Liming He |
| collection | DOAJ |
| description | Spaceborne interferometric synthetic aperture radar (InSAR) techniques are important for landslide detection and monitoring; however, several limitations and uncertainties, such as the unique north–south flying direction and side-look radar observing geometry, currently limit the ability of InSAR to credibly detect landslides, especially those related to high and steep slopes. Here, we conducted experimental and statistical analysis on the feasibility of time-series InSAR monitoring for steep slopes using ascending and descending SAR images. First, the theoretical (<i>T<sub>GNSS</sub></i>), practical (<i>P<sub>GNSS</sub></i>), and terrain (<i>H<sub>terrain</sub></i>) (T-P-H) indices for sensitivity evaluations of the slope displacement monitoring results from time-series InSAR were proposed for slope monitoring. Subsequently, two experimental and statistical studies were conducted for the cases with and without Global Navigation Satellite System (GNSS) monitoring data. Our experimental results of two high and steep open-pit mines showed that the defined theoretical and practical sensitivity indices can quantitatively evaluate the feasibility of ascending and descending InSAR observations in steep-slope deformation monitoring with GNSS data, and the terrain sensitivity index can qualitatively evaluate the feasibility of landslide monitoring results from ascending and descending Sentinel-1 satellite data without GNSS data. We further demonstrate the generalizability of these proposed indices using four landslide cases with both public GNSS and InSAR monitoring data and 119 landslide cases with only InSAR monitoring data. The statistical results indicated that greater indices correlated with higher reliability of the monitoring results, suggesting that these novel indices have wide suitability and applicability. This study can help to improve the practice of slope deformation monitoring using spaceborne InSAR, especially for high and steep slopes. |
| first_indexed | 2024-03-11T00:17:25Z |
| format | Article |
| id | doaj.art-5dbea5c5ef574508994635eca0876487 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-11T00:17:25Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-5dbea5c5ef574508994635eca08764872023-11-18T23:32:30ZengMDPI AGRemote Sensing2072-42922023-08-011515390610.3390/rs15153906Sensitivity Evaluation of Time Series InSAR Monitoring Results for Landslide DetectionLiming He0Panke Pei1Xiangning Zhang2Ji Qi3Jiuyang Cai4Wang Cao5Ruibo Ding6Yachun Mao7School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, ChinaSchool of Resources and Civil Engineering, Northeastern University, Shenyang 110819, ChinaSchool of Resources and Civil Engineering, Northeastern University, Shenyang 110819, ChinaSchool of Geomatics, Liaoning Technical University, Fuxin 123000, ChinaSchool of Resources and Civil Engineering, Northeastern University, Shenyang 110819, ChinaSchool of Resources and Civil Engineering, Northeastern University, Shenyang 110819, ChinaSchool of Resources and Civil Engineering, Northeastern University, Shenyang 110819, ChinaSchool of Resources and Civil Engineering, Northeastern University, Shenyang 110819, ChinaSpaceborne interferometric synthetic aperture radar (InSAR) techniques are important for landslide detection and monitoring; however, several limitations and uncertainties, such as the unique north–south flying direction and side-look radar observing geometry, currently limit the ability of InSAR to credibly detect landslides, especially those related to high and steep slopes. Here, we conducted experimental and statistical analysis on the feasibility of time-series InSAR monitoring for steep slopes using ascending and descending SAR images. First, the theoretical (<i>T<sub>GNSS</sub></i>), practical (<i>P<sub>GNSS</sub></i>), and terrain (<i>H<sub>terrain</sub></i>) (T-P-H) indices for sensitivity evaluations of the slope displacement monitoring results from time-series InSAR were proposed for slope monitoring. Subsequently, two experimental and statistical studies were conducted for the cases with and without Global Navigation Satellite System (GNSS) monitoring data. Our experimental results of two high and steep open-pit mines showed that the defined theoretical and practical sensitivity indices can quantitatively evaluate the feasibility of ascending and descending InSAR observations in steep-slope deformation monitoring with GNSS data, and the terrain sensitivity index can qualitatively evaluate the feasibility of landslide monitoring results from ascending and descending Sentinel-1 satellite data without GNSS data. We further demonstrate the generalizability of these proposed indices using four landslide cases with both public GNSS and InSAR monitoring data and 119 landslide cases with only InSAR monitoring data. The statistical results indicated that greater indices correlated with higher reliability of the monitoring results, suggesting that these novel indices have wide suitability and applicability. This study can help to improve the practice of slope deformation monitoring using spaceborne InSAR, especially for high and steep slopes.https://www.mdpi.com/2072-4292/15/15/3906InSARlandslidedeformation monitoringslope of open-pit minesensitivity evaluation |
| spellingShingle | Liming He Panke Pei Xiangning Zhang Ji Qi Jiuyang Cai Wang Cao Ruibo Ding Yachun Mao Sensitivity Evaluation of Time Series InSAR Monitoring Results for Landslide Detection Remote Sensing InSAR landslide deformation monitoring slope of open-pit mine sensitivity evaluation |
| title | Sensitivity Evaluation of Time Series InSAR Monitoring Results for Landslide Detection |
| title_full | Sensitivity Evaluation of Time Series InSAR Monitoring Results for Landslide Detection |
| title_fullStr | Sensitivity Evaluation of Time Series InSAR Monitoring Results for Landslide Detection |
| title_full_unstemmed | Sensitivity Evaluation of Time Series InSAR Monitoring Results for Landslide Detection |
| title_short | Sensitivity Evaluation of Time Series InSAR Monitoring Results for Landslide Detection |
| title_sort | sensitivity evaluation of time series insar monitoring results for landslide detection |
| topic | InSAR landslide deformation monitoring slope of open-pit mine sensitivity evaluation |
| url | https://www.mdpi.com/2072-4292/15/15/3906 |
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