Machine Learning Methods and Synthetic Data Generation to Predict Large Wildfires

Machine Learning Methods and Synthetic Data Generation to Predict Large Wildfires

Wildfires are becoming more frequent in different parts of the globe, and the ability to predict when and where they will occur is a complex process. Identifying wildfire events with high probability of becoming a large wildfire is an important task for supporting initial attack planning. Different...

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Bibliographic Details
Main Authors: Fernando-Juan Pérez-Porras, Paula Triviño-Tarradas, Carmen Cima-Rodríguez, Jose-Emilio Meroño-de-Larriva, Alfonso García-Ferrer, Francisco-Javier Mesas-Carrascosa
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Sensors
Subjects:
imbalanced data
burned area
prediction large wildfire
logistic regression
multi-layer perceptron
Online Access:https://www.mdpi.com/1424-8220/21/11/3694

Internet

https://www.mdpi.com/1424-8220/21/11/3694

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