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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Detalles Bibliográficos
Autores principales: Nhu, Viet-Ha, Mohammadi, Ayub, Shahabi, Himan, Ahmad, Baharin Bin, Al-Ansari, Nadhir, Shirzadi, Ataollah, Clague, John J., Jaafari, Abolfazl, Chen, Wei, Nguyen, Hoang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7400293/
https://www.ncbi.nlm.nih.gov/pubmed/32650595
http://dx.doi.org/10.3390/ijerph17144933

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