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InSAR Displacement with High-Resolution Optical Remote Sensing for the Early Detection and Deformation Analysis of Active Landslides in the Upper Yellow River.

Authors :
Tu, Kuan
Ye, Shirong
Zou, Jingui
Hua, Chen
Guo, Jiming
Source :
Water (20734441); Feb2023, Vol. 15 Issue 4, p769, 18p
Publication Year :
2023

Abstract

Frequent landslides and other geological disasters pose a serious threat to human life and infrastructure in the Upper Yellow River. Detecting active landslides and ascertaining their impact necessitate the determination of deformation characteristics. In this study, we developed an integrated method combining interferometric synthetic aperture radar and high-resolution optical satellite remote sensing to detect active landslides in the Upper Yellow River region from Longyang Gorge to Lijia Gorge. Sentinel-1 satellite data from January 2019 to April 2021 with ascending and descending orbits were adopted to obtain deformation using the STACKING and interferometric point target analysis techniques. A 97.08% overlap rate in the detected results from the two InSAR technologies confirmed the suitability of both approaches. The missing detection rates (6.79% & 8.73%) from single line-of-sight (LOS) InSAR results indicate the necessity of different orbit direction data. Slight deformation rate changes (<4 mm/month) before and after rainy seasons of the Lijia Gorge landslide group indicate that precipitation exerted little impact on slope activity. This study supports the feasibility of integrated methods for the detection and analysis of active landslides in the Upper Yellow River and other regions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20734441
Volume :
15
Issue :
4
Database :
Complementary Index
Journal :
Water (20734441)
Publication Type :
Academic Journal
Accession number :
162159398
Full Text :
https://doi.org/10.3390/w15040769