Mapping and characterizing displacements of active loess slopes along the upstream Yellow River with multi-temporal InSAR datasets

被引:68
作者
Shi, Xuguo [1 ]
Yang, Chao [1 ,2 ]
Zhang, Lu [3 ]
Jiang, Houjun [4 ]
Liao, Mingsheng [3 ]
Zhang, Li [3 ]
Liu, Xiuguo [1 ]
机构
[1] China Univ Geosci Wuhan, Fac Informat Engn, Wuhan 430074, Peoples R China
[2] China Univ Geosci Wuhan, Natl Engn Res Ctr Geog Informat Syst, Wuhan 430074, Peoples R China
[3] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Hubei, Peoples R China
[4] Nanjing Univ Posts & Telecommun, Dept Surveying & Geoinformat, 9 Wenyuan Rd, Nanjing 210023, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Loess Plateau; Loess landslide; Rainfall; Time series InSAR analysis; Impoundment; SAR INTERFEROMETRY; DISTRIBUTED SCATTERERS; LANDSLIDE; MECHANISM; JINGYANG; DANBA; FIELD;
D O I
10.1016/j.scitotenv.2019.04.140
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Landslides and debris flows in the Loess Plateau pose great threats to human lives and man-made infrastructure, such as buildings and expressways. Thus, the detection and monitoring of the stability of slopes are crucial in geohazard prevention and management. In this study, the time series synthetic aperture radar interferometry (InSAR) analysis method that combines persistent scatters (PSs) and distributed scatters (DSs) is employed to detect and map active slopes along the upstream Yellow River from the Longyang Gorge dam to the Lijia Gorge dam using one ALOS PALSAR data stack from 2006 to 2011 and two Sentinel-1 data stacks from 2015 to 2017. More than 100 active slopes in a total coverage of 222.5 km(2) were identified. Through a time series displacement analysis of active slopes, we found that changes in the water content of loess slopes induced by rainfall or reservoir impoundment might be a major factor that can activate unstable slopes or accelerate the movement of active slopes. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:200 / 210
页数:11
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