Forest Fire Prediction Using Weather and Spatial Data

Project Overview

This project is aimed at predicting forest fire burned areas using a dataset from the Montesinho Park in Portugal. The dataset includes various weather features, spatial coordinates, and fire indices (FFMC, DMC, DC, ISI) which are crucial to estimating the likelihood and extent of fire spread. The goal was to apply machine learning techniques to predict the burned area of the forest based on these input features.