Manifestation of LiDAR-derived parameters in the spatial prediction of landslides using novel ensemble evidential belief functions and support vector machine models in GIS

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Manifestation of LiDAR-derived parameters in the spatial prediction of landslides using novel ensemble evidential belief functions and support vector machine models in GIS

Landslide susceptibility mapping is indispensable for disaster management and planning development operations in mountainous regions. The potential use of light detection and ranging (LiDAR) data was explored in this study for deriving landslide-conditioning factors for the spatial prediction of lan...

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Bibliographic Details
Main Authors:	Jebur, Mustafa Neamah, Pradhan, Biswajeet, Tehrany, Mahyat Shafapour
Format:	Article
Published:	Institute of Electrical and Electronics Engineers 2014
Online Access:	http://psasir.upm.edu.my/id/eprint/34440/

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