Landslide susceptibility mapping using machine learning algorithms and remote sensing data in a tropical environment

Landslide susceptibility mapping using machine learning algorithms and remote sensing data in a tropical environment

We used AdaBoost (AB), alternating decision tree (ADTree), and their combination as an ensemble model (AB-ADTree) to spatially predict landslides in the Cameron Highlands, Malaysia. The models were trained with a database of 152 landslides compiled using Synthetic Aperture Radar Interferometry, Goog...

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Bibliographic Details
Main Authors: Nhu, Viet Ha, Mohammadi, Ayub, Shahabi, Himan, Ahmad, Baharin, Al-Ansari, Nadhir, Shirzadi, Ataollah, Clague, John J., Jaafari, Abolfazl, Chen, Wei, Nguyen, Hoang
Format: Article
Language:English
Published: MDPI 2020
Subjects:
NA Architecture
Online Access:http://eprints.utm.my/93344/1/BaharinAhmad2020_LandslideSusceptibilityMappingUsingMachine.pdf

Internet

http://eprints.utm.my/93344/1/BaharinAhmad2020_LandslideSusceptibilityMappingUsingMachine.pdf

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