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2015 | OriginalPaper | Buchkapitel

Monitoring Landslide Activities in the Three Gorges Area with Multi-frequency Satellite SAR Data Sets

verfasst von : Lu Zhang, Mingsheng Liao, Timo Balz, Xuguo Shi, Yanan Jiang

Erschienen in: Modern Technologies for Landslide Monitoring and Prediction

Verlag: Springer Berlin Heidelberg

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Abstract

Thousands of landslides are distributed along Yangtze River and its tributaries in the Three Gorges area from Chongqing Municipality in the west to Hubei Province in the east (P.R. China). Since the construction and regular operation of the Three Gorges Dam in the past two decades, many ancient landslides have been reactivated and some new landslides were formed along with the unprecedentedly huge water-level changes. Monitoring landslide activities has then been considered as a high-priority task for geological disaster prevention and management in the reservoir area, while traditional monitoring methods can hardly meet the requirements. In this chapter, we investigated the applications of several methods using Synthetic Aperture Radar (SAR) datasets in landslide monitoring in the Three Gorges area. Multifrequency satellite SAR data sets acquired by ENVISAT/ASAR, ALOS/PALSAR, and TerraSAR-X from different orbits were analyzed to retrieve historic deformations of a few typical landslides. The experimental results suggested that SAR Interferometry (InSAR) methods can be effectively used to monitor slow-moving landslides, while pixel offset tracking method is more suitable for detecting deformation of fast-moving landslides. Furthermore, qualitative correlation analyses indicated that variation of reservoir water level, particularly the rapid water-level decrease due to discharge, should be identified as a key driving factor for landslide deformation in the Three Gorges area.

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Metadaten
Titel
Monitoring Landslide Activities in the Three Gorges Area with Multi-frequency Satellite SAR Data Sets
verfasst von
Lu Zhang
Mingsheng Liao
Timo Balz
Xuguo Shi
Yanan Jiang
Copyright-Jahr
2015
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-662-45931-7_10