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Published July 15, 2022 | Version 0.1
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SeasFire Cube: A Global Dataset for Seasonal Fire Modeling in the Earth System


The SeasFire Cube is a scientific datacube for seasonal fire forecasting around the globe.

It has been created in the context of the SeasFire project, which deals with "Earth System Deep Learning for Seasonal Fire Forecasting" and is funded by the European Space Agency (ESA)  in the context of ESA Future EO-1 Science for Society Call.

It contains almost 20 years of data (2001-2021) in an 8-days time resolution and 0.25 degrees grid resolution. It has a diverse range of seasonal fire drivers. It expands from atmospheric and climatological ones to vegetation variables, socioeconomic and the target variables related to wildfires such as burned areas, fire radiative power, and wildfire-related CO2 emissions.



Spatial Coverage


Temporal Coverage

2001 to 2021

Spatial Resolution

0.25 deg x 0.25 deg

Temporal Resolution

8 days

Potential Input Variables


Potential Target Variables


Tutorial Link


Variable Name


MODIS Satellite Variables (Land surface temperature, Normalized vegetation index, Leaf Area Index)

MOD11C1, MOD13C1, MCD15A2

Climate Indices: North Atlantic Oscillation, Niño 3.4 region, Western Pacific Index, Pacific North American Index, Bivariate ENSO Timeseries, East Pacific/North Pacific Oscillation, East Pacific/North Pacific Oscillation, Pacific Decadal Oscillation, Eastern Asia/Western Russia Index, Southern Oscillation Index, Global Mean Land/Ocean Temperature

NOAA Climate Indices

Total precipitation, vapor pressure deficit, Wind Speed, mean sea level pressure, minimum 2 metre temperature, maximum 2 metre temperature, mean 2 metre temperature, Volumetric soil water layer 1, sea surface temperature, Surface solar radiation downwards, Surface net solar radiation, Skin temperature, relative_humidity

ERA5 Meteo Reanalysis Data

Fire Indices: Max, Mean FWI, Max Drought Code


Population Density

Gridded Population of the World (GPW), v4

Burned Areas (GFED)


Global Fire Emissions Database (GFED)

Burned Areas (GWIS)

Global Wildfire Information System  (GWIS)

Burned Areas (Fire CCI)

FireCCI - European Space Agency’s Climate Change Initiative

Carbon emissions (CO2) from Wildfires, Fire Radiative Power


CAMS: Global Fire Assimilation System (GFAS)

Table 2:  Included variables and respective web access points (valid in July 2022).

Apart from seasonal fire forecasting, it can also be used for global environmental modeling from 2001 to 2021 and tasks such as sea surface temperature, and carbon emissions modeling.


The creation of this cube has been funded by the European Space Agency (ESA), in the context of ESA Future EO-1 Science for Society Call


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