A comparative study of the identification of hidden landslide hazards based on time series InSAR techniques

DONG Jihong; MA Zhigang; LIANG Jingtao; LIU Bin; ZHAO Cong; ZENG Shuai; YAN Shengwu; MA Xiaobo

doi:10.6046/zrzyyg.2021333

2022 Vol. 34, No. 3

Article Contents

Article navigation > Remote Sensing for Natural Resources > 2022 > 34(3): 73-81

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DONG Jihong, MA Zhigang, LIANG Jingtao, LIU Bin, ZHAO Cong, ZENG Shuai, YAN Shengwu, MA Xiaobo. 2022. A comparative study of the identification of hidden landslide hazards based on time series InSAR techniques. Remote Sensing for Natural Resources, 34(3): 73-81. doi: 10.6046/zrzyyg.2021333

Citation:

DONG Jihong, MA Zhigang, LIANG Jingtao, LIU Bin, ZHAO Cong, ZENG Shuai, YAN Shengwu, MA Xiaobo. 2022. A comparative study of the identification of hidden landslide hazards based on time series InSAR techniques. Remote Sensing for Natural Resources, 34(3): 73-81. doi: 10.6046/zrzyyg.2021333

A comparative study of the identification of hidden landslide hazards based on time series InSAR techniques

1. Evaluation and Utilization of Strategic Rare Metals and Rare Earth Resource Key Laboratory of Sichuan Province, Sichuan Geological Survey, Chengdu 610081, China；
2. Sichuan Intelligent Geological Big Data Co., Ltd., Chengdu 610081, China；
3. Sichuan Institute of Land and Space Ecological Restoration and Geohazards Prevention, Chengdu 610081, China

Received Date: 12 October 2021

Revised Date: 15 September 2022

Publish Date: 21 September 2022

Abstract

Abstract

The spaceborne interferometric synthetic aperture Radar (InSAR) techniques have been widely used in geological disaster monitoring at present due to their advantages of non-contact, large scope, wide space coverage, and high monitoring accuracy. With Ya’an City with dense vegetation as the experimental area, this study comparatively analyzed the identification of hidden landslide hazards based on time series InSAR techniques (stacking and SBAS). By comparing the surface deformation rate maps obtained using different time series InSAR techniques based on the Sentinel-1 data, it was found that the results of the SBAS technique were less vulnerable to various errors and achieved better monitoring results than the Stacking technique. The statistical analyses of hidden landslide hazards interpreted from the surface deformation rate map, as well as the field survey results, revealed that more hidden hazards were identified using the Stacking technique than those identified using the SBAS technique, while the SBAS technique yielded higher accuracy than the Stacking technique. Therefore, it is recommended to combine SBAS and Stacking techniques to carry out the early identification of landslide hazards in Ya'an City.
- landslide /
- identification of hidden hazards /
- time series InSAR technique /
- Ya’an City

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References

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