Entropy-Based Hybrid Integration of Random Forest and Support Vector Machine for Landslide Susceptibility Analysis

Entropy-Based Hybrid Integration of Random Forest and Support Vector Machine for Landslide Susceptibility Analysis

Landslide susceptibility mapping is a crucial step in comprehensive landslide risk management. The purpose of the present study is to analyze the landslide susceptibility of Mandi district, Himachal Pradesh, India, based on optimum feature selection and hybrid integration of the Shannon entropy (SE)...

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Bibliographic Details
Main Authors: Amol Sharma, Chander Prakash, V. S. Manivasagam
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Geomatics
Subjects:
landslide susceptibility
Shannon entropy
random forest
support vector machine
feature selection
performance matrices
Online Access:https://www.mdpi.com/2673-7418/1/4/23

Internet

https://www.mdpi.com/2673-7418/1/4/23

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