Fire Season Multi-Resolution Database

In the realm of wildfire research and analysis, the need for comprehensive and adaptable datasets has never been more critical. To address this imperative, we introduce the "Fire Season Multi-Resolution Database." This meticulously curated dataset represents a significant advancement in the realm of wildfire data, offering a versatile, multi-resolution approach to understanding the intricate dynamics of fire seasons.

The Fire Season Multi-Resolution Database is a set of geospatial earth grids, thoughtfully designed to accommodate diverse research needs by providing information at varying levels of detail. Within each grid, a wealth of data is embedded, concerning fire seasons and their comprehensive characterizations at every individual pixel.

Within each pixel of these multi-resolution grids, a set of nine variables about their respective fire seasons can be found.
    

•  FsOrNot (int): a binary variable (0,1) that contains information whether a pixel has a fire season or not 
•  MainStart (int): Starting month of the fire season 
•  MainEnd (int) : Ending month of the fire season 
•  SecondStart (int): Start month of a possible secondary fire seasson (if it is bimodal) 
•  SecondEnd (int) : End month of the secondary fire seasson 
•  Length (int): Months that lasts the fire season 
•  C (float): Seasonal concentration of the fire seasson 
•  P (float): Seasonal phase or timming of the fire season 
•  FBA (float): Fraction of Burneable Area 

Github used to build these files: 

https://github.com/delatorre96/Development-of-a-multi-resolution-fire-season-database-on-a-global-scale

Finally,  the sources of information used to build this dataset is the Copernicus project, specifically the web page: https://cds.climate.copernicus.eu/cdsapp#!/dataset/satellite-fire-burned-area?tab=overview. This dataset has been constructed with the aim of enhancing wildfire research and aiding in the development of effective wildfire management and mitigation strategies.