24 September 2021 Stability evaluation at Xishan Loess landslide using InSAR technique applying ascending and descending SAR data
Huina Huang, Xiaobo Zhang, Zongren Li, Dongjian Xue, Xing Zhang, Baoshan Liu, Hui Deng, Zhixue Liu, Guanchen Zhuo
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Abstract

The early identification and monitoring of landslides is of great significance to disaster assessment, mitigation, and prevention. Although interferometric radar technology can achieve large-scale and infinite-point with high-precision surface deformation monitoring, when the real deformation direction is different from the radar line of sight direction, its detection sensitivity will be reduced. We take the Xishan landslide group in Qinghai Province as the research object and use the ascending and descending Sentinel-1A data from January 9, 2019, to April 9, 2020, to reconstruct the slope direction velocity field based on conversion relationship; and using the mutual verification of ascending and descending orbit can obtain accurate and reliable unstable slope range. Adopting fusion of ascending and descending orbit data, with the decomposition of the deformation information of the Xishan landslide group, the vertical and east-west deformations of the slope are extracted, and the stability of the slope is analyzed based on the deformation characteristics of the landslide, topography, and site survey results.

© 2021 Society of Photo-Optical Instrumentation Engineers (SPIE) 1931-3195/2021/$28.00 © 2021 SPIE
Huina Huang, Xiaobo Zhang, Zongren Li, Dongjian Xue, Xing Zhang, Baoshan Liu, Hui Deng, Zhixue Liu, and Guanchen Zhuo "Stability evaluation at Xishan Loess landslide using InSAR technique applying ascending and descending SAR data," Journal of Applied Remote Sensing 15(3), 034519 (24 September 2021). https://doi.org/10.1117/1.JRS.15.034519
Received: 10 May 2021; Accepted: 9 September 2021; Published: 24 September 2021
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Cited by 3 scholarly publications.
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KEYWORDS
Landslide (networking)

Interferometric synthetic aperture radar

Radar

Synthetic aperture radar

Particles

Satellites

Data acquisition

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