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Remote Sensing for Natural Resources    2024, Vol. 36 Issue (2) : 257-267     DOI: 10.6046/zrzyyg.2022467
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Monitoring a landslide with a multi-deformation magnitude based on the phase and amplitude information of SAR images: A case study of the Baige landslide in Jinsha River
YANG Fan1(), MA Zhigang2, WEN Yan2, Dong Jie3(), JIANG Qinghui4
1. State Key Laboratory of Surveying, Mapping and Remote Sensing Information Engineering, Wuhan University, Wuhan 430079, China
2. Sichuan Institute of Territorial Space Ecological Restoration and Geological Disaster Prevention and Control, Chengdu 610084, China
3. School of Remote Sensing Information Engineering, Wuhan University, Wuhan 430079, China
4. School of Civil Engineering, Wuhan University, Wuhan 430079, China
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Abstract  

In recent years, radar remote sensing has been extensively applied to extract high-precision deformation information of landslide surfaces. The techniques used include phase-based interferometry and amplitude-based pixel offset tracking (POT). However, large complex landslides exhibit significantly different deformation magnitudes over the spatio-temporal evolution, complicating the comprehensive monitoring of landslide deformation via single radar remote sensing. Hence, by analyzing the deformation detection capability of radar remote sensing, this study proposed monitoring the whole process of a landslide combined with the phase and amplitude information of synthetic aperture radar (SAR) images. This study investigated the Baige landslide occurring in Jinsha River in 2018 based on Sentinel-1 data from 2014 to 2021 and ALOS-2 data from 2014 to 2018. Combined with time-series interferometric SAR (InSAR) analysis and POT, this study acquired the pre- and post-disaster time-series deformations of the landslide. The results are as follows. Pre-disaster, the trailing edge of the Baige landslide exhibited an average annual rate of 20 mm/a, with deformation of the main landslide area up to about 45 m from December 2014 to July 2018. Post-disaster, the landslide gradually expanded to the trailing edge, with an average annual deformation rate reaching 200 mm/a, threatening the safety of some civilian houses. Therefore, the combined method in this study can achieve the multi-deformation magnitude extraction of large complex landslides from spatio-temporal dimensions.
Keywords interferometry      pixel offset tracking      multi-deformation magnitude      large landslide     
ZTFLH:  TP79  
Issue Date: 14 June 2024
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Fan YANG
Zhigang MA
Yan WEN
Jie Dong
Qinghui JIANG
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Fan YANG,Zhigang MA,Yan WEN, et al. Monitoring a landslide with a multi-deformation magnitude based on the phase and amplitude information of SAR images: A case study of the Baige landslide in Jinsha River[J]. Remote Sensing for Natural Resources, 2024, 36(2): 257-267.
URL:  
https://www.gtzyyg.com/EN/10.6046/zrzyyg.2022467     OR     https://www.gtzyyg.com/EN/Y2024/V36/I2/257
Fig.1  Flowchart of multi-deformation landslide monitoring method based on satellite radar remote sensing technology
Fig.2  Overview of the study area
Fig.3  Serious threats of landslides
数据集 Sentinel-1卫星 ALOS-2 PALSAR-2卫星
轨道方向 升轨 降轨 升轨
航向角/(°) -13 193 -15
分辨率/m
(距离向×方位向)		 5×20 5×20 7×4
时间范围 2014年10月—2021年12月 2014年12月—2018年7月
影像数量/景 327 10
Tab.1  Parameters of SAR dataset
Fig.4  Deformation rate diagram of Baige landslide obtained by Sentinel-1 data and SBAS-InSAR method
Fig.5  ALOS-2 data time series POT method was used to obtain the cumulative deformation of Baige landslide before disaster
Fig.6  Pre-disaster spatial dimension is combined with the two methods to accumulate the deformation results
Fig.7  The Sentinel-1 time-series InSAR method was used to obtain the post-disaster deformations and deformation rate maps of Baige landslide
Fig.8  Post-disaster site inspection pictures
Fig.9  2D deformation inversion results of Sentinel-1 ascending and descending data after disaster
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