Automatic landslide detection using Dempster–Shafer theory from LiDAR-derived data and orthophotos

Automatic landslide detection using Dempster–Shafer theory from LiDAR-derived data and orthophotos

A good landslide inventory map is a prerequisite for landslide hazard and risk analysis. In tropical countries, such as Malaysia, preparation of the landslide inventory is a challenging task because of the rapid growth of vegetation. Thus, it is crucial to use rapid and accurate technique and effect...

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Bibliographic Details
Main Authors: Mezaal, Al-Karawi Mustafa Ridha, Pradhan, Biswajeet, Mohd Shafri, Helmi Zulhaidi, Md Yusoff, Zainuddin
Format: Article
Language:en
Published: Taylor & Francis 2017
Online Access:http://psasir.upm.edu.my/id/eprint/64637/1/Automatic%20landslide%20detection%20using%20Dempster%E2%80%93Shafer%20theory%20from%20LiDAR-derived%20data%20and%20orthophotos.pdf
http://psasir.upm.edu.my/id/eprint/64637/
https://www.tandfonline.com/doi/abs/10.1080/19475705.2017.1401013
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Internet

http://psasir.upm.edu.my/id/eprint/64637/1/Automatic%20landslide%20detection%20using%20Dempster%E2%80%93Shafer%20theory%20from%20LiDAR-derived%20data%20and%20orthophotos.pdf
http://psasir.upm.edu.my/id/eprint/64637/
https://www.tandfonline.com/doi/abs/10.1080/19475705.2017.1401013

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