Articles | Volume 17, issue 7
https://doi.org/10.5194/essd-17-3599-2025
https://doi.org/10.5194/essd-17-3599-2025
Data description paper
 | 
30 Jul 2025
Data description paper |  | 30 Jul 2025

Reconstructed global monthly burned area maps from 1901 to 2020

Zhixuan Guo, Wei Li, Philippe Ciais, Stephen Sitch, Guido R. van der Werf, Simon P. K. Bowring, Ana Bastos, Florent Mouillot, Jiaying He, Minxuan Sun, Lei Zhu, Xiaomeng Du, Nan Wang, and Xiaomeng Huang

Data sets

Reconstructed Global Monthly Burned Area Maps from 1901 to 2020 Zhixuan Guo and Wei Li https://doi.org/10.5281/zenodo.14191467

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Short summary
To address the limitations of short time spans in satellite data and spatiotemporal discontinuity in site records, we reconstructed global monthly burned area maps at a 0.5° resolution for 1901–2020 using machine learning models. The global burned area is predicted at 3.46 × 106–4.58 × 106 km² per year, showing a decline from 1901 to 1978, an increase from 1978 to 2008 and a sharper decrease from 2008 to 2020. This dataset provides a benchmark for studies on fire ecology and the carbon cycle.
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