pp. 4635-4646
S&M2433 Research Paper of Special Issue https://doi.org/10.18494/SAM.2020.3151 Published: December 29, 2020 Factors Influencing Activity of Xiwang Road Ground Fissure Based on Time-series Interferometric Synthetic Aperture Radar and Detection of Land Cover Changes Using Optical Imaging [PDF] Xi Liu, Jing Ma, and Shan Su (Received October 28, 2020; Accepted December 10, 2020) Keywords: ground fissure, time-series InSAR, SBAS-InSAR, change detection, influencing factors
In this study, small baseline subsets interferometric synthetic aperture radar (SBAS-InSAR)was used to monitor the surface deformation of an area of 88 km2 centered on the Xiwang Road ground fissure in Shunyi District, Beijing, to clarify the relationship between the surface deformation and the factors affecting the ground fissure activity. To reduce the errors due to overlap and contraction caused by radar-side looking imaging, we used a combination of ascending and descending orbit data to carry out the inversion of surface deformation in the study area. Thirty-seven images of Sentinel-1 ascending data from May 2017 to May 2020 and 12 images of descending data from December 2018 to December 2019 were selected. We also selected two Landsat 8 OLI images to detect the land cover changes in the study area based on support vector machine (SVM)–supervised classification, so as to examine the effects of human engineering activities on the ground fissure displacement activity. Finally, combining the results of SBAS-InSAR and land cover change detection, we explored in detail the factors affecting the activity of the Xiwang Road ground fissure to provide a scientific basis and technical reference for the prevention and treatment of ground fissures.
Corresponding author: Shan SuThis work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Xi Liu, Jing Ma, and Shan Su, Factors Influencing Activity of Xiwang Road Ground Fissure Based on Time-series Interferometric Synthetic Aperture Radar and Detection of Land Cover Changes Using Optical Imaging, Sens. Mater., Vol. 32, No. 12, 2020, p. 4635-4646. |