Integrated Anomaly Detection and Early Warning System for Forest Fires in the Odisha Region
Hrishita Hiremath,
Srinivasa Ramanujam Kannan
Abstract: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 soil moisture as important meteorological factors influencing forest fire occurrence. Twenty additional parameters were derived based on these four parameters that account for the energy exchanged in sensible and la… Show more
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