Landslide Susceptibility Mapping in a Mountainous Area Using Machine Learning Algorithms

Landslides are a dangerous natural hazard that can critically harm road infrastructure in mountainous places, resulting in significant damage and fatalities. The primary purpose of this study was to assess the efficacy of three machine learning algorithms (MLAs) for landslide susceptibility mapping...

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Bibliographic Details
Published in:Remote sensing (Basel, Switzerland) Switzerland), 2023-06, Vol.15 (12), p.3112
Main Authors: Shahabi, Himan, Ahmadi, Reza, Alizadeh, Mohsen, Hashim, Mazlan, Al-Ansari, Nadhir, Shirzadi, Ataollah, Wolf, Isabelle D., Ariffin, Effi Helmy
Format: Article
Language:English
Subjects:
Algorithms
case studies
Decision making
decision support systems
decision tree
Decision trees
Emergency management
Fatalities
Fault lines
Geology
Geoteknik
Hydrology
infrastructure
Iran
Kamyaran–Sarvabad road
Land use
Landslides
Landslides & mudslides
Learning algorithms
Literature reviews
Lithology
Machine learning
Mapping
Mountain regions
Mountainous areas
Mountains
random forest
Remote sensing
risk
Rivers
Roads & highways
Software
Soil Mechanics
streams
support vector machine
Support vector machines
surveys
topography
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