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Monitoring of Landslide Deformation based on InSAR

Authors :
Fan Mou
Shaobing Jiang
Zezhong Zheng
Yong He
Zhanyong He
Mingcang Zhu
Source :
2019 SAR in Big Data Era (BIGSARDATA).
Publication Year :
2019
Publisher :
IEEE, 2019.

Abstract

The terrain in the southwest mountainous areas is complex, and the ravines and mountains overlap. A large landslide occurred on June 24, 2017, in Xinmo village, Diexi town, Mao county, Sichuan province. Due to the large height difference, it was a typical high-level geological landslide with destructive force. The Xinmo village was buried entirely, and eighty-three persons lost their lives in the landslide disaster. In this paper, we used the permanent scatterer interferometry synthetic aperture radar (PS-InSAR) and small baseline subset interferometric synthetic aperture radar (SBAS-InSAR) to study the deformation of Xinmo villag. We compared the results derived from the two methods. The results showed the reliability of InSAR for monitoring the landslide of the Xinmo village. The possible causes of the landslide deformation were preliminarily discussed.

Details

Database :
OpenAIRE
Journal :
2019 SAR in Big Data Era (BIGSARDATA)
Accession number :
edsair.doi...........202be160e25ff935427e975610516e63
Full Text :
https://doi.org/10.1109/bigsardata.2019.8858479