Performance Evaluation of GIS-Based Novel Ensemble Approaches for Land Subsidence Susceptibility Mapping

Performance Evaluation of GIS-Based Novel Ensemble Approaches for Land Subsidence Susceptibility Mapping

The optimal prediction of land subsidence (LS) is very much difficult because of limitations in proper monitoring techniques, field-base surveys and knowledge related to functioning and behavior of LS. Thus, due to the lack of LS susceptibility maps it is almost impossible to identify LS prone areas...

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Bibliographic Details
Main Authors: Alireza Arabameri, Saro Lee, Fatemeh Rezaie, Subodh Chandra Pal, Omid Asadi Nalivan, Asish Saha, Indrajit Chowdhuri, Hossein Moayedi
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Earth Science
Subjects:
Geohazards
land subsidence
remote sensing
Kashan plain
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2021.663678/full

Internet

https://www.frontiersin.org/articles/10.3389/feart.2021.663678/full

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