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Remote Sensing for Land & Resources    2019, Vol. 31 Issue (2) : 204-209     DOI: 10.6046/gtzyyg.2019.02.28
Detecting and characterizing deformations of the left bank slope near the Jinping hydropower station with time series Sentinel-1 data
Zhenlin WANG, Mingsheng LIAO, Lu ZHANG, Heng LUO, Jie DONG
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
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tability monitoring of bank slopes along the reservoirs of hydropower projects is a fundamental task for the safety of dam operation. And deformation detection is a major approach for stability monitoring. Spaceborne InSAR technique has been recognized as an effective tool for deformation detection with its high observation accuracy and capability to work independent of weather and solar illumination. The deformation information of left bank slope of Jinping hydropower station in the Yalong River Basin was obtained by processing 56 images of C-band Sentinel-1 data with small baselines time series InSAR technique. The result indicated that there was a large landslide on the left bank slope about 1.5 km away from the dam upstream of the Jinping I hydropower station, with a surface area of more than 750,000 square meters. The maximum deformation rate in the line of sight exceeded 200 mm/a from 2015 to 2018. The deformation area was mainly concentrated in the middle and upper part of the bank slope. And the maximum cumulative deformation of the line of sight in the observation period was more than 500 mm. The time series of deformation was basically a linear sliding trend without obvious periodicity. The same method was used to process 22 archived images of L-band ALOS-PALSAR data from 2006 to 2011. The results show that the left bank slope was stable before the reservoir impoundment. It is therefore inferred that the sharp rise of water level of the reservoir might be a main trigger factor for this landslide activation.

Keywords Jinping hydropower station      deformation      InSAR      SBAS      landslide      Sentinel-1     
:  TP79  
Issue Date: 23 May 2019
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Zhenlin WANG
Mingsheng LIAO
Heng LUO
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Zhenlin WANG,Mingsheng LIAO,Lu ZHANG, et al. Detecting and characterizing deformations of the left bank slope near the Jinping hydropower station with time series Sentinel-1 data[J]. Remote Sensing for Land & Resources, 2019, 31(2): 204-209.
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参数 Sentinel-1 ALOS-PALSAR
轨道方向 升轨 升轨
波段/波长/cm C波段/5.6 L波段/23.6
成像视角/(°) 33.6 34
距离向×方位向空间分辨率/(m×m) 5×20 7×10
影像数量/景 56 22
时间跨度 20151026—20180413 20061211—20110206
Tab.1  Parameters of satellite SAR datasets
Fig.1  Coverage of satellite SAR datasets
Fig.2  LOS deformation rates derived from two datasets
Fig.3  Accumulated deformation time series derived from two datasets
Fig.4  Accumulated LOS deformation derived from Sentinel-1 data
Fig.5  DEM and accumulated deformation of two profiles
Fig.6  Atmospheric delay phase and precipitation
Fig.7  Comparison of accumulated deformation before and after atmospheric correction
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