GIS-Based Landslide Susceptibility Modeling: A Comparison between Best-First Decision Tree and Its Two Ensembles (BagBFT and RFBFT)

GIS-Based Landslide Susceptibility Modeling: A Comparison between Best-First Decision Tree and Its Two Ensembles (BagBFT and RFBFT)

This study aimed to explore and compare the application of current state-of-the-art machine learning techniques, including bagging (Bag) and rotation forest (RF), to assess landslide susceptibility with the base classifier best-first decision tree (BFT). The proposed two novel ensemble frameworks, B...

Full description

Bibliographic Details
Main Authors: Jingyun Gui, Leandro Rafael Alejano, Miao Yao, Fasuo Zhao, Wei Chen
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Remote Sensing
Subjects:
machine learning
susceptibility mapping
integration model
landslide
Online Access:https://www.mdpi.com/2072-4292/15/4/1007

Similar Items

Similar Items