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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Acknowledgments
This study is funded by Ministry of Land and Resources (No.[2005]13, No. SXKY3-6-2 and No. SXKY3-2-2), National “863 Plan” Projects of Ministry of Science and Technology (No.2007AA12Z160 and No.2009AA122004), National “973 Plan” Projects of Ministry of Science and Technology (No.2011CB710601), and the National Natural Science Foundation of China (No.40672205).
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Ye, R., Cheng, W., Fu, X., Wu, R., Yang, J., Niu, R. (2014).
Landslide Hazard Investigation and Assessment Using Remote Sensing in the Three Gorges Reservoir Area.
In: Sassa, K., Canuti, P., Yin, Y. (eds) Landslide Science for a Safer Geoenvironment. Springer, Cham. https://doi.org/10.1007/978-3-319-05050-8_57
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DOI: https://doi.org/10.1007/978-3-319-05050-8_57
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