Abstract This study focuses on the Jianshanying landslide in Fa’er town, Guizhou province and utilizes Google Earth historical images, Sentinel-1 SAR images, and Sentinel-2 optical images to monitor the two-dimensional deformation and time series of the landslide through visual interpretation, SBAS-InSAR, and optical offset techniques. The comparison results of multiple periods of historical Google Earth images indicate a year-by-year increase in the slope area of the landslide, with faster growth observed after 2018. The SBAS-InSAR monitoring shows an average annual deformation rate of -150 mm/a for Jianshanying landslide, with most of the deformation occurring at the slope’s front. The cumulative deformation before sliding is -108 mm. The optical offset tracking technology using Sentinel-2 images revealed the 2D deformation time series of a landslide from 2016 to 2021, providing additional information on the landslide body’s deformation that SBAS-InSAR technology could not capture. Results show a maximum cumulative shape change of 32 m in the east-west direction and -52 m in the north-south direction. By integrating the two-dimensional time series results of Jianshanying landslide with geological exploration data, rainfall patterns and other relevant factors, we determine that the deformation of the landslide is closely linked to recurrent mining activities as well as precipitation events.
HU Tao,YANG Chengsheng,HOU Zuhang et al. Monitoring of Jianshanying Landslide in Fa’er Town, Guizhou Province Based on Optical and SAR Data[J]. jgg, 2024, 44(1): 82-88.
HU Tao,YANG Chengsheng,HOU Zuhang et al. Monitoring of Jianshanying Landslide in Fa’er Town, Guizhou Province Based on Optical and SAR Data[J]. jgg, 2024, 44(1): 82-88.
