The Identification and Influence Factor Analysis of Landslides Using SBAS-InSAR Technique: A Case Study of Hongya Village, China

被引：9

作者：

Wei, Zhanxi ^{[1
,2
]}

Li, Yingjun ^{[1
,2
]}

Dong, Jianhui ^{[3
]}

Cao, Shenghong ^{[1
,2
]}

Ma, Wenli ^{[1
,2
]}

Wang, Xiao ^{[3
]}

Wang, Hao ^{[1
,2
]}

Tang, Ran ^{[3
]}

Zhao, Jianjun ^{[4
]}

Liu, Xiao ^{[3
]}

Tang, Chengqian ^{[3
]}

机构：

[1] Qinghai 906 Project Survey & Design Inst, Xining 810007, Peoples R China

[2] Qinghai Geol Environm Protect & Disaster Prevent E, Xining 810012, Peoples R China

[3] Chengdu Univ, Sch Architecture & Civil Engn, Chengdu 610106, Peoples R China

[4] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Peoples R China

来源：

APPLIED SCIENCES-BASEL | 2024年 / 14卷 / 18期

基金：

中国国家自然科学基金;

关键词：

SBAS-InSAR; Sentinel-1A; landslide identification; influencing factors; visibility; climate change adaptation; risk reduction; SURFACE DISPLACEMENTS; COUNTY;

D O I：

10.3390/app14188413

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

On 1 September 2022, a landslide in Hongya Village, Weiyuan Town, Huzhu Tu Autonomous County, Qinghai Province, caused significant casualties and economic losses. To mitigate such risks, InSAR technology is employed due to its wide coverage, all-weather operation, and cost-effectiveness in detecting landslides. In this study, focusing on the landslide in Hongya Village, SBAS-InSAR and Sentinel-1A satellite data from July 2021 to September/October 2022 were used to accurately identify the areas of active landslides and to analyze the landslide deformation trends, in combination with the geological characteristics of the landslides and rainfall data. The results showed that strong deformation was detected in the middle and back of the landslide in Hongya Village, with a maximum deformation rate of approximately -13 mm/year. The surface of the landslide consisted of mainly Upper Pleistocene wind-deposited loess, which is extremely sensitive to water. The deformation of the landslide was closely related to the rainfall, and the deformation of the landslide increased with the increase in rainfall. The research results prove that the combination of ascending and descending orbit data based on SBAS-InSAR technology is highly feasible in the field of landslide deformation monitoring and is of great practical significance for landslide disaster prevention and mitigation.

引用

页数：15

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