Paper Info
Title
Landslide Characterization Applying Sentinel-1 Images and InSAR Technique: The Muyubao Landslide in the Three Gorges Reservoir Area, China.
Abstract
Landslides are a common natural hazard that causes casualties and unprecedented economic losses every year, especially in vulnerable developing countries. Considering the high cost of in-situ monitoring equipment and the sparse coverage of monitoring points, the Sentinel-1 images and Interferometric Synthetic Aperture Radar (InSAR) technique were used to conduct landslide monitoring and analysis. The Muyubao landslide in the Three Gorges Reservoir area in China was taken as a case study. A total of 37 images from March 2016 to September 2017 were collected, and the displacement time series were extracted using the Stanford Method for Persistent Scatterer (StaMPS) small baselines subset method. The comparison to global positioning system monitoring results indicated that the InSAR processing of the Muyubao landslide was accurate and reliable. Combined with the field investigation, the deformation evolution and its response to triggering factors were analyzed. During this monitoring period, the creeping process of the Muyubao landslide showed obvious spatiotemporal deformation differences. The changes in the reservoir water level were the trigger of the Muyubao landslide, and its deformation mainly occurred during the fluctuation period and high-water level period of the reservoir.
Year
DOI
Venue
2020
10.3390/rs12203385
REMOTE SENSING
Keywords
DocType
Volume
landslide deformation,InSAR,reservoir water level,Sentinel-1,Three Gorges Reservoir area (China)
Journal
12
Issue
Citations 
PageRank 
20
0
0.34
References 
Authors
0
7
Name
Order
Citations
PageRank
Chao Zhou130.85
Ying Cao201.01
Kunlong Yin301.69
Yang Wang400.68
Xuguo Shi5234.86
Filippo Catani6539.55
Bayes Ahmed7304.86