Factors Affecting Landslide Susceptibility Mapping: Assessing the Influence of Different Machine Learning Approaches, Sampling Strategies and Data Splitting

Data driven methods are widely used for the development of Landslide Susceptibility Mapping (LSM). The results of these methods are sensitive to different factors, such as the quality of input data, choice of algorithm, sampling strategies, and data splitting ratios. In this study, five different Ma...

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Bibliographic Details
Published in:	Land
Main Authors:	Minu Treesa Abraham, Neelima Satyam, Revuri Lokesh, Biswajeet Pradhan, Abdullah Alamri
Format:	Article
Language:	English
Published:	MDPI AG 2021-09-01
Subjects:	landslide susceptibility machine learning GIS Kerala
Online Access:	https://www.mdpi.com/2073-445X/10/9/989

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