Automatic Identification of Slope Active Deformation Areas in the Zhouqu Region of China With DS-InSAR Results

Yuanjian Wang; Ximin Cui; Yuhang Che; Peixian Li; Yue Jiang; Xiaozhan Peng

doi:10.3389/fenvs.2022.883427

Frontiers in Environmental Science (Apr 2022)

Automatic Identification of Slope Active Deformation Areas in the Zhouqu Region of China With DS-InSAR Results

Yuanjian Wang,
Ximin Cui,
Yuhang Che,
Peixian Li,
Yue Jiang,
Xiaozhan Peng

Affiliations

Yuanjian Wang: School of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, China
Ximin Cui: School of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, China
Yuhang Che: School of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, China
Peixian Li: School of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, China
Yue Jiang: School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China
Xiaozhan Peng: School of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, China

DOI: https://doi.org/10.3389/fenvs.2022.883427
Journal volume & issue: Vol. 10

Abstract

Read online

Zhouqu has narrow terrain and steep mountains on both sides of the Bailong River. It is one of the most serious landslide disaster areas in China due to the fracture development of rock and complex geological conditions. To identify the slope active deformation areas (SADAs) in the region accurately, the Distributed Scatter Interferometric Synthetic Aperture Radar (DS-InSAR) technique was used based on the process of the sentinel ascending and descending orbit data. Deformation results of the region from January 2019 to February 2021 were obtained. A new method for automatically identifying SADA while accounting for radar geometric distortion was established to quickly and efficiently identify SADA from the large-scale deformation results in the region. The SADA identified by this method can eliminate the region affected by geometric distortion. Based on the method, 62 SADAs including 12 in the upstream and 50 in the downstream of Zhouqu County were identified. Compared with 12 typical landslide areas in the study area, 9 typical landslides match with the detected SADA. The SADA is mainly concentrated in the section from the downstream of Zhouqu County to Lianghekou, and statistical analysis showed that the vegetation coverage and topographic slope angle are two main reasons for this difference. At the same time, the analysis of the typical landslide time-series deformation reveals that the slope deformation activity mainly takes place during the rainy season. It has high correlation with precipitation. These results of the study provided an important reference for geological disaster prevention in the Zhouqu region.

Published in Frontiers in Environmental Science

ISSN: 2296-665X (Online)
Publisher: Frontiers Media S.A.
Country of publisher: Switzerland
LCC subjects: Geography. Anthropology. Recreation: Environmental sciences
Website: https://www.frontiersin.org/journals/environmental-science

About the journal

Abstract

Keywords