Share Email Print
cover

Journal of Applied Remote Sensing • Open Access • new

Small-scale loess landslide monitoring with small baseline subsets interferometric synthetic aperture radar technique—case study of Xingyuan landslide, Shaanxi, China
Author(s): Chaoying Zhao; Qin Zhang; Yang He; Jianbing Peng; Chengsheng Yang; Ya Kang

Paper Abstract

Small baseline subsets interferometric synthetic aperture radar technique is analyzed to detect and monitor the loess landslide in the southern bank of the Jinghe River, Shaanxi province, China. Aiming to achieve the accurate preslide time-series deformation results over small spatial scale and abrupt temporal deformation loess landslide, digital elevation model error, coherence threshold for phase unwrapping, and quality of unwrapping interferograms must be carefully checked in advance. In this experience, land subsidence accompanying a landslide with the distance <1  km is obtained, which gives a sound precursor for small-scale loess landslide detection. Moreover, the longer and continuous land subsidence has been monitored while deformation starting point for the landslide is successfully inverted, which is key to monitoring the similar loess landslide. In addition, the accelerated landslide deformation from one to two months before the landslide can provide a critical clue to early warning of this kind of landslide.

Paper Details

Date Published: 7 June 2016
PDF: 14 pages
J. Appl. Remote Sens. 10(2) 026030 doi: 10.1117/1.JRS.10.026030
Published in: Journal of Applied Remote Sensing Volume 10, Issue 2
Show Author Affiliations
Chaoying Zhao, Chang'an Univ. (China)
Ministry of Education (China)
Qin Zhang, Chang'an Univ. (China)
Ministry of Education (China)
Yang He, Chang'an Univ. (China)
Jianbing Peng, Chang'an Univ. (China)
Ministry of Education (China)
Chengsheng Yang, Chang'an Univ. (China)
Ministry of Education (China)
Ya Kang, Chang'an Univ. (China)


© SPIE. Terms of Use
Back to Top