Potential loess landslide deformation monitoring using L-band SAR interferometry. Issue 4 (1st October 2016)

• Record Type: Journal Article
• Authors: Liu, Yuzhou; Liao, Mingsheng; Shi, Xuguo; Zhang, Lu; Cunningham, Cory
• Is Part Of: Geo-spatial information science. Volume 19:Issue 4(2016)
• Page Start: 273
• Page End: 277
• Publication Date: 2016-10-01
• Subjects: Potential loess landside -- deformation detection -- Small Baseline Subset (SBAS) -- rainfall; Geographic information systems -- Periodicals; Cartography -- Data processing -- Periodicals; Surveying -- Data processing -- Periodicals; Remote sensing -- Periodicals; 526.0285
• DOI: 10.1080/10095020.2016.1258202
• Languages: English
• ISSNs: 1009-5020

Abstract

Abstract: Multi-temporal InSAR technique can implement continuous earth surface deformation detection with long time scale and wide geographical coverage. In this paper, we first employ the Small Baseline Subset method to survey potential landslides in Guide County, Qinghai Province, which is identified as a loess landslide prone area for geological and climate conditions. Two anomalous deformation regions are detected by L-band Phased Array and L-band Synthetic Aperture Radar stacks. Then, qualitative and quantitative evaluations of the measuring points are given for understanding the distribution regularity of deformation. Finally, preliminary correlation between the time-series deformation and triggering factors is analyzed to explore the driving mechanism for landslide movement. The results demonstrate that L-band SAR has high potential in landslide monitoring applications and can be used as the basis for landslide recognizing, precursory information extracting, and early warning.