Integrated Anomaly Detection and Early Warning System for Forest Fires in the Odisha Region

Integrated Anomaly Detection and Early Warning System for Forest Fires in the Odisha Region

The present study aims to develop a random forest algorithm-based classifier to predict the occurrence of fire events using observed meteorological parameters a day in advance. We considered the skin temperature, the air temperature close to the surface, the humidity close to the surface level, and...

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Bibliographic Details
Main Authors: Hrishita Hiremath, Srinivasa Ramanujam Kannan
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Atmosphere
Subjects:
forest fire
weighted data sampling
SMOTE
class imbalance
random forest
Online Access:https://www.mdpi.com/2073-4433/15/11/1284
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