Spatial Prediction of Wildfire Susceptibility Using Field Survey GPS Data and Machine Learning Approaches

Spatial Prediction of Wildfire Susceptibility Using Field Survey GPS Data and Machine Learning Approaches

Recently, global climate change discussions have become more prominent, and forests are considered as the ecosystems most at risk by the consequences of climate change. Wildfires are among one of the main drivers leading to losses in forested areas. The increasing availability of free remotely sense...

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Bibliographic Details
Main Authors: Omid Ghorbanzadeh, Khalil Valizadeh Kamran, Thomas Blaschke, Jagannath Aryal, Amin Naboureh, Jamshid Einali, Jinhu Bian
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Fire
Subjects:
artificial neural network (ANN)
support vector machines (SVM)
random forest (RF)
k-fold cross-validation (CV)
MODIS
Online Access:https://www.mdpi.com/2571-6255/2/3/43

Internet

https://www.mdpi.com/2571-6255/2/3/43

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