%0 Dataset
%T Reconstructed Global Monthly Burned Area Maps from 1901 to 2020
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/7ff2361c-fdc8-4a05-9f53-8906d07aeb8c
%W NCDC
%R 10.5281/zenodo.14191467
%A Li Wei
%K Burnt area;machine learning reconstruction;fire
%X This dataset is a global monthly 0.5 °× 0.5 ° fire area ratio dataset, covering the period from 1901 to 2020. The data is based on climate conditions, vegetation status, population density, and land use data, reconstructed and generated through machine learning models, aiming to provide spatially and temporally consistent burned area data in the 20th century to compensate for the shortcomings of short satellite observation time coverage and high model simulation uncertainty. The dataset consists of three versions: a version trained on FireCCI51 satellite products, a version trained on GFED5 satellite products, and a FireCCI51-GDP version calibrated using historical statistics on the relationship between burned area and GDP. The data variables include the latitude and longitude of the grid center, the proportion of burned areas, and the type identification that distinguishes between conventional and extreme fires.