Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping

Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping

The main objective of this research was to introduce a novel machine learning algorithm of alternating decision tree (ADTree) based on the multiboost (MB), bagging (BA), rotation forest (RF) and random subspace (RS) ensemble algorithms under two scenarios of different sample sizes and raster resolut...

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Bibliographic Details
Main Authors: Ataollah Shirzadi, Karim Soliamani, Mahmood Habibnejhad, Ataollah Kavian, Kamran Chapi, Himan Shahabi, Wei Chen, Khabat Khosravi, Binh Thai Pham, Biswajeet Pradhan, Anuar Ahmad, Baharin Bin Ahmad, Dieu Tien Bui
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Sensors
Subjects:
landslide
alternating decision tree
GIS
machine learning algorithms
Iran
Online Access:https://www.mdpi.com/1424-8220/18/11/3777

Internet

https://www.mdpi.com/1424-8220/18/11/3777

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