Landslide susceptibility mapping: machine and ensemble learning based on remote sensing big data

Predicting landslide occurrences can be difficult. However, failure to do so can be catastrophic, causing unwanted tragedies such as property damage, community displacement, and human casualties. Research into landslide susceptibility mapping (LSM) attempts to alleviate such catastrophes through the...

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Bibliographic Details
Main Authors: Kalantar, Bahareh, Ueda, Naonori, Saeidi, Vahideh, Ahmadi, Kourosh, Abdul Halin, Alfian, Shabani, Farzin
Format: Article
Language:English
Published: Multidisciplinary Digital Publishing Institute 2020
Online Access:http://psasir.upm.edu.my/id/eprint/89546/1/Landslide%20susceptibility%20mapping.pdf
http://psasir.upm.edu.my/id/eprint/89546/
https://www.mdpi.com/2072-4292/12/11/1737
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Institution: Universiti Putra Malaysia
Language: English