Risk Assessment of Resources Exposed to Rainfall Induced Landslide with the Development of GIS and RS Based Ensemble Metaheuristic Machine Learning Algorithms

Risk Assessment of Resources Exposed to Rainfall Induced Landslide with the Development of GIS and RS Based Ensemble Metaheuristic Machine Learning Algorithms

Disastrous natural hazards, such as landslides, floods, and forest fires cause a serious threat to natural resources, assets and human lives. Consequently, landslide risk assessment has become requisite for managing the resources in future. This study was designed to develop four ensemble metaheuris...

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Bibliographic Details
Main Authors: Javed Mallick, Saeed Alqadhi, Swapan Talukdar, Majed AlSubih, Mohd. Ahmed, Roohul Abad Khan, Nabil Ben Kahla, Saud M. Abutayeh
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sustainability
Subjects:
rainfall-induced landslide susceptibility
sensitivity analysis
metaheuristic optimization
risk assessment
return periods
Gumble extreme value distribution
Online Access:https://www.mdpi.com/2071-1050/13/2/457

Internet

https://www.mdpi.com/2071-1050/13/2/457

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