Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and its Ensembles in a Semi-Arid Region of Iran

Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and its Ensembles in a Semi-Arid Region of Iran

<b> </b>We generated high-quality shallow landslide susceptibility maps for Bijar County, Kurdistan Province, Iran, using Random Forest (RAF), an ensemble computational intelligence method and three meta classifiers—Bagging (BA, BA-RAF), Random Subspace (RS, RS-RAF), and Rotation Forest...

Full description

Bibliographic Details
Main Authors: Viet-Ha Nhu, Ataollah Shirzadi, Himan Shahabi, Wei Chen, John J Clague, Marten Geertsema, Abolfazl Jaafari, Mohammadtaghi Avand, Shaghayegh Miraki, Davood Talebpour Asl, Binh Thai Pham, Baharin Bin Ahmad, Saro Lee
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Forests
Subjects:
shallow landslide
machine learning
goodness-of-fit
over-fitting
GIS
Iran
Online Access:https://www.mdpi.com/1999-4907/11/4/421

Internet

https://www.mdpi.com/1999-4907/11/4/421

Similar Items