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

• 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
• Institution: Universiti Putra Malaysia

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...