Abstract

A landslide susceptibility assessment for the Three Gorges (TG) region (China) was performed in a Geographical Information System (GIS) environment and Persistent Scatterer (PS) InSAR derived displacements were used for validation purposes. Badong County of TG was chosen as case study field. Landslide parameters were derived from two datasets. The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Digital Elevation Map (GDEM) was used to calculate slope geometry parameters (slope, aspect, drainage, and lineament), while geology and vegetation cover were obtained from Landsat and ASTER data. The majority of historical landslides occurred in the sandstone-shale-claystone intercalations. It appears that slope gradients are more critical than other parameters such as aspect and drainage. The susceptibility assessment was based on a summation of assigned susceptibility scores (points) for each 30×30 m unit in a database of a Vector Grid File (VGF) composed of ‘vector pixels’. A landslide susceptibility map (LSM) was generated using VGF and classified with low, moderate and high landslide susceptibility zones. The comparison between the LSM and PS InSAR derived displacements suggests that landslides only account for parts of the observed surface movements.

Highlights

  • Landslides are natural processes that can be triggered directly or indirectly by natural and/or human activities

  • We present a landslide susceptibility map as a case study for the Badong County in Three Gorges (TG) region of China to use geology, slope aspect, slope angle, drainage network, lineament and vegetation cover data from Landsat imagery, ASTER imagery and a Global Digital Elevation Map (GDEM) to create a Vector Grid File (VGF) (= Vector pixel) based Geographical Information System (GIS) model

  • A landslide susceptibility map (LSM) generated for the Badong County, TG of China, using information layers derived from satellite optical images ( ASTER and Landsat) and ASTER GDEM, which agrees well with our Persistent Scatterer (PS) Interferometric Synthetic Aperture Radar (SAR) (InSAR) derived deformation maps

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Summary

Introduction

Landslides are natural processes that can be triggered directly or indirectly by natural and/or human activities. We present a landslide susceptibility map as a case study for the Badong County in Three Gorges (TG) region of China to use geology, slope aspect, slope angle, drainage network, lineament and vegetation cover data from Landsat imagery, ASTER imagery and a GDEM to create a Vector Grid File (VGF) (= Vector pixel) based GIS model. We compare this VGF-based LSM with the deformation signals derived using Persistent Scatter Interferometric Synthetic Aperture Radar (PS InSAR)

Study Area
Datasets Used in This Study
ASTER Optical Imagery
Landsat Optical Imagery
ASTER GDEM
Methods
Landslide Susceptibility Analysis
Validation of LSMs with PS InSAR Derived Deformation Map
Findings
Conclusions

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