Algerian Forest Fire Dataset based Meteorological data - Khenchla (2009–2023)

This dataset contains meteorological data and forest fire occurrence records for Khenchla city, Algeria, covering the period from 2009 to 2023. The meteorological data was sourced from historique-meteo.net, providing daily records of key environmental variables, including maximum temperature (MAX_TEMPERATURE_C), maximum wind speed (WINDSPEED_MAX_KMH), total daily precipitation (PRECIP_TOTAL_DAY_MM), and maximum humidity (HUMIDITY_MAX_PERCENT). The fire presence data was obtained from the Forestry Authorities of Khenchla, and is represented in the CLASSE column, which indicates the presence of a fire for each day (with possible values indicating either fire or no fire). The dataset includes the following columns: Day: The day of the observation Month: The month of the observation Year: The year of the observation MAX_TEMPERATURE_C: The maximum temperature for the day in Celsius WINDSPEED_MAX_KMH: The maximum wind speed recorded for the day in kilometers per hour PRECIP_TOTAL_DAY_MM: Total daily precipitation in millimeters HUMIDITY_MAX_PERCENT: Maximum humidity recorded for the day as a percentage CLASSE: A binary or categorical variable indicating whether a fire occurred (values such as 0 = no fire, 1 = fire occurred) This dataset can be used to develop and test machine learning models for forest fire prediction based on meteorological conditions. It is well-suited for supervised learning tasks such as classification or regression, where the objective is to predict the likelihood of a forest fire occurring based on weather factors. The dataset provides valuable insights for climate research, fire management, and disaster prediction, particularly for regions like Khenchla city, Algeria, which face challenges with forest fire prevention and management.