Landslide deformation monitoring using point-like target offset tracking with multi-mode high-resolution TerraSAR-X data

被引:81
作者
Shi, Xuguo [1 ]
Zhang, Lu [1 ,2 ]
Balz, Timo [1 ,2 ]
Liao, Mingsheng [1 ,2 ]
机构
[1] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China
[2] Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Peoples R China
基金
中国国家自然科学基金;
关键词
Landslide; SAR; Point-like target offset tracking; Displacement; Water level; Three Gorges; GORGES DAM-RESERVOIR; INSAR; AREA; INTERFEROMETRY; IMPOUNDMENT; MOVEMENTS; MECHANISM; SLOPE;
D O I
10.1016/j.isprsjprs.2015.03.017
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Many landslides in the Three Georges area have shown active deformations associated with water level fluctuations since the full operation of the Three Georges Dam. Such active deformations of landslide bodies need to be closely monitored for disaster prevention and warning. One way to do this is to employ SAR pixel offset tracking, a powerful technique that can be used for measuring two-dimensional large displacements. As an improvement of the original pixel offset tracking technique, the point-like target (PT) offset tracking method focuses on stable point-like targets and thus can obtain more reliable measurements. In this paper, the PT offset tracking method is employed to investigate historical evolution of the Shuping landslide, using time series TerraSAR-X data acquired in both Stripmap (SM) and High-resolution Spotlight (HS) modes. Artificial corner reflectors (CR) installed at/near the landslide are identified as PTs and used to analyze the spatial-temporal pattern of landslide deformations. Results showed that the maximum accumulative deformation of the Shuping landslide reached more than 1.5 m over a time span of two years. A correlation analysis between the deformation trends and the fluctuation of reservoir water level indicated that most deformations of the landslide happened during the water level declining period. (C) 2015 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:128 / 140
页数:13
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