Hot Spot Identification Systems for Wildfire Control

Abstract

One of the most common problems that today's society with climate change is the increase in forest fires in various parts of the world. The present investigation refers to a literary review of the investigations carried out on the development of proposals that allow the identification of fire situations in natural ecosystems. The presence of fire is identified using computational systems that combine computer vision, artificial intelligence, and sophisticated monitoring variables that may indicate the presence of fire in a natural area. According to the research carried out, interesting models have been developed for the recognition of fire and its early detection, through advanced statistical processes, regression systems, and constant monitoring of the variables that intervene in the generation of fire.