Wildfire susceptibility mapping using two empowered machine learning algorithms

Hossein Moayedi; Mohammad Ali Salehi Amin Khasmakhi

doi:10.1007/s00477-022-02273-4

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Wildfire susceptibility mapping using two empowered machine learning algorithms

Hossein Moayedi Mohammad Ali Salehi Amin Khasmakhi

Year: 2022 Journal: Stochastic Environmental Research and Risk Assessment Vol: 37 (1)Pages: 49-72 Publisher: Springer Science+Business Media

DOI: 10.1007/s00477-022-02273-4

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Keywords:

Ant colony optimization algorithms Elevation (ballistics) Mean squared error Topographic Wetness Index Artificial neural network Normalized Difference Vegetation Index Mean absolute percentage error Wind speed Environmental science Computer science Algorithm Computational intelligence Statistics Mathematics Meteorology Remote sensing Machine learning Leaf area index Ecology Geography Geometry

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Topics

Fire effects on ecosystems

Physical Sciences → Environmental Science → Global and Planetary Change

Landslides and related hazards

Physical Sciences → Environmental Science → Management, Monitoring, Policy and Law

Flood Risk Assessment and Management

Physical Sciences → Environmental Science → Global and Planetary Change

Wildfire susceptibility mapping using two empowered machine learning algorithms

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