Prediction of wildfire rate of spread in grasslands using machine learning methods

Sadegh Khanmohammadi; Mehrdad Arashpour; Emadaldin Mohammadi Golafshani; Miguel G. Cruz; Abbas Rajabifard; Yu Bai

doi:10.1016/j.envsoft.2022.105507

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Prediction of wildfire rate of spread in grasslands using machine learning methods

Sadegh Khanmohammadi Mehrdad Arashpour Emadaldin Mohammadi Golafshani Miguel G. Cruz Abbas Rajabifard Yu Bai

Year: 2022 Journal: Environmental Modelling & Software Vol: 156 Pages: 105507-105507 Publisher: Elsevier BV

DOI: 10.1016/j.envsoft.2022.105507

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Keywords:

Predictive modelling Computer science Support vector machine Artificial neural network Regression Machine learning Random forest Regression analysis Kriging Artificial intelligence Process (computing) Tree (set theory) Data mining Statistics Mathematics

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Topics

Fire effects on ecosystems

Physical Sciences → Environmental Science → Global and Planetary Change

Fire Detection and Safety Systems

Physical Sciences → Engineering → Safety, Risk, Reliability and Quality

Landslides and related hazards

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

Prediction of wildfire rate of spread in grasslands using machine learning methods

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