Design of a Forest Fire Early Alert System through a Deep 3D-CNN Structure and a WRF-CNN Bias Correction

Design of a Forest Fire Early Alert System through a Deep 3D-CNN Structure and a WRF-CNN Bias Correction

Throughout the years, wildfires have negatively impacted ecological systems and urban areas. Hence, reinforcing territorial risk management strategies against wildfires is essential. In this study, we built an early alert system (EAS) with two different Machine Learning (ML) techniques to calculate...

Full description

Bibliographic Details
Main Authors: Alejandro Casallas, Camila Jiménez-Saenz, Victor Torres, Miguel Quirama-Aguilar, Augusto Lizcano, Ellie Anne Lopez-Barrera, Camilo Ferro, Nathalia Celis, Ricardo Arenas
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Sensors
Subjects:
wildfires
early alert system
machine learning
bias correction
Naïve-Bayes classification
susceptibility
Online Access:https://www.mdpi.com/1424-8220/22/22/8790

Internet

https://www.mdpi.com/1424-8220/22/22/8790

Similar Items