Optimized hierarchical rule-based classification for differentiating shallow and deep-seated landslide using high-resolution LiDAR data

Optimized hierarchical rule-based classification for differentiating shallow and deep-seated landslide using high-resolution LiDAR data

Landslide is one of the most devastating natural disasters across the world with serious negative impact on its inhabitants and the environs. Landslide is considered as a type of soil erosion which could be shallow, deep-seated, cut slope, bare soil, and so on. Distinguishing between these types of...

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Bibliographic Details
Main Authors: Mezaal, Al-Karawi Mustafa Ridha, Pradhan, Biswajeet, Mohd Shafri, Helmi Zulhaidi, Rizeei, Hossein Mojaddadi, Md Yusoff, Zainuddin
Format: Conference or Workshop Item
Language:English
Published: Springer Nature Singapore 2017
Online Access:http://psasir.upm.edu.my/id/eprint/64619/
http://psasir.upm.edu.my/id/eprint/64619/1/Optimized%20hierarchical%20rule-based%20classification%20for%20differentiating%20shallow%20and%20deep-seated%20landslide%20using%20high-resolution%20LiDAR%20data.pdf

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http://psasir.upm.edu.my/id/eprint/64619/
http://psasir.upm.edu.my/id/eprint/64619/1/Optimized%20hierarchical%20rule-based%20classification%20for%20differentiating%20shallow%20and%20deep-seated%20landslide%20using%20high-resolution%20LiDAR%20data.pdf

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