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

• 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/; http://ieeexplore.ieee.org/xpl/abstractAuthors.jsp?arnumber=6874490
• Institution: Universiti Putra Malaysia

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...