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Nowadays, Landslide has been one of the most frequent and seriously widespread natural hazards all over the world. How landslides can be monitored and predicted is an urgent research topic of the inte...
Interferometric Synthetic Aperture Radar (InSAR) technique is able to detect a slope deformation around landslide (e.g., Singhroy et al., 2004; Une et al., 2008; Riedel and Walther, 2008; Sato et al.,...
Computational modelling of extreme particle and fluid flow events can provide increased understanding of their post-initiation course. For the prediction of fluid events such as dam breaks we use the ...
Image fusion is a basic tool for combining low spatial resolution multi-spectral and high spatial resolution panchromatic images using advanced image processing techniques. Study on efficient image fu...
Application of Remote Sensing Data to Landslide Mapping in Hong Kong     Landslides  Vegetation  Environment       font style='font-size:12px;'> 2015/7/7
Rapid encroachment of Hong Kong’s urban areas into natural terrain creates a considerable potential risk from landslides. In recent years, considerable effort has been directed towards identifying ge...
This paper sketches a prototype of web-based landslide prediction service for delivering web-based training. The results show that the proposed landslide GWSC model can effectively compute the lands...
In Kyrgyzstan (Central Asia) large landslides are widespread at the eastern rim of the Fergana Basin in an area of active mountain building (Pamir-Tien Shan). Because of the large number of landslide...
This paper discusses the applicability of analysis on the "landslide types" based on the quantitative prediction model for landslide hazard mapping. The quantitative prediction model used in this st...

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