Spatiotemporal variation characteristics of global fires and their emissions
Data sets
Wildfire CODE AND DATA https://doi.org/10.5281/zenodo.7997467
A spatio-temporal active-fire clustering approach for global burned area mapping at 250 m from MODIS data (https://climate.esa.int/en/projects/fire/data/) https://doi.org/10.1016/j.rse.2019.111493
The Collection 6 MODIS burned area mapping algorithm and product (https://modis-fire.umd.edu/ba.html) https://doi.org/10.1016/j.rse.2018.08.005
Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power (https://atmosphere.copernicus.eu/global-fire-emissions/) https://doi.org/10.5194/bg-9-527-2012
ERA5 monthly averaged data on single levels from 1940 to present https://doi.org/10.24381/cds.f17050d7
The collection 6 MODIS active fire detection algorithm and fire products (https://firms.modaps.eosdis.nasa.gov/download/) https://doi.org/10.1016/j.rse.2016.02.054
Model code and software
Wildfire CODE AND DATA https://doi.org/10.5281/zenodo.7997467