Early identification of potential landslides for the Sichuan-Chongqing power grid based on optical remote sensing and SBAS-InSAR

ZHAO Huawei; ZHOU Lin; TAN Minglun; TANG Minggao; TONG Qinggang; QIN Jiajun; PENG Yuhui

doi:10.6046/zrzyyg.2022321

2023 Vol. 35, No. 4

Article Contents

Article navigation > Remote Sensing for Natural Resources > 2023 > 35(4): 264-272

Next Article Previous Article

ZHAO Huawei, ZHOU Lin, TAN Minglun, TANG Minggao, TONG Qinggang, QIN Jiajun, PENG Yuhui. 2023. Early identification of potential landslides for the Sichuan-Chongqing power grid based on optical remote sensing and SBAS-InSAR. Remote Sensing for Natural Resources, 35(4): 264-272. doi: 10.6046/zrzyyg.2022321

Citation:

ZHAO Huawei, ZHOU Lin, TAN Minglun, TANG Minggao, TONG Qinggang, QIN Jiajun, PENG Yuhui. 2023. Early identification of potential landslides for the Sichuan-Chongqing power grid based on optical remote sensing and SBAS-InSAR. Remote Sensing for Natural Resources, 35(4): 264-272. doi: 10.6046/zrzyyg.2022321

Early identification of potential landslides for the Sichuan-Chongqing power grid based on optical remote sensing and SBAS-InSAR

1. State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China
;2. Southwest Branch of State Grid Corporation of China(SGCC), Chengdu 641000, China

More Information

Corresponding author: TANG Minggao

Received Date: 10 August 2022

Revised Date: 09 February 2023

Publish Date: 21 December 2023

Abstract

Abstract

Power grid projects in mountainous regions have encountered numerous landslides in recent years, leading to collapsed transmission towers and power outages. Hence, early identification of potential landslides is crucial for ensuring the safety of power engineering. For this purpose, this study conducted early identification of potential landslides along the Sichuan-Chongqing power grid based on optical remote sensing and the small baseline subset (SBAS) - interferometric synthetic aperture radar (InSAR) technology. The interpretation of high-resolution optical remote sensing images revealed 28 potential landslide sites near the transmission towers along the power grid. Based on this, this study detected the study area’s surface deformation using the SBAS-InSAR technology, identifying 27 potential landslide sites. Except for 15 repeated results, the above two methods identified a total of 40 potential landslide sites. Finally, through field check and the qualitative analysis of deformation signs and stability, this study determined that seven potential landslide sites threaten the safety of transmission towers, with two of them presenting higher risks. These findings provide valuable guidance and references for the prevention and control of landslides along the Sichuan-Chongqing power grid.
- landslide /
- early identification /
- optical remote sensing /
- SBAS-InSAR /
- Sichuan-Chongqing power grid