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Published in:
Introduction: Physical Modeling and Material Testing Read chapter Read first chapter

2014 | OriginalPaper | Chapter

https://static-content.springer.com/image/chp%3A10.1007%2F978-3-319-05050-8_57/MediaObjects/319773_1_En_57_Figa_HTML.gif Landslide Hazard Investigation and Assessment Using Remote Sensing in the Three Gorges Reservoir Area

Authors : Runqing Ye, Wenming Cheng, Xiaolin Fu, Runze Wu, Jianying Yang, Ruiqing Niu

Published in: Landslide Science for a Safer Geoenvironment

Publisher: Springer International Publishing

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Abstract

Landslides can result in enormous property damages and human casualties in mountainous region, which are controlled and influenced by many temporal and spatial factors. Comprehensive understanding of landslides should be based on multi-source data collection, information extraction and data analysis. In this paper, landslide-prone area from Zigui to Badong in the Three Gorges Project reservoir area is chosen for the study area to landslide information extraction and hazard analysis based on multi-source data, which focused on the integration between remote sensing and non-RS data for landslide investigation and hazard analysis. And ten thematic maps were generated from multi-source data, namely landslides inventory map, slope map, slope structure map, geotechnical map, land cover and its changes map etc. The Support Vector Machine (SVM) model is employed for landslide susceptibility mapping. The results show a convincing success to distingusih the high and low landslide susceptibility regions.

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previous chapter Persistent Scatterers Interferometry Provides Insight on Slope Deformations and Landslide Activity in the Mountains of Zhouqu, Gansu, China
next chapter Landslides Susceptibility Mapping in Oklahoma State Using GIS-Based Weighted Linear Combination Method
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Metadata
Title
Landslide Hazard Investigation and Assessment Using Remote Sensing in the Three Gorges Reservoir Area
Authors
Runqing Ye
Wenming Cheng
Xiaolin Fu
Runze Wu
Jianying Yang
Ruiqing Niu
Copyright Year
2014
Book
Landslide Science for a Safer Geoenvironment

Print ISBN: 978-3-319-05049-2

Electronic ISBN: 978-3-319-05050-8

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-319-05050-8_57