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

Viewed

Total article views: 1,132 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
869 237 26 1,132 43 25 23
  • HTML: 869
  • PDF: 237
  • XML: 26
  • Total: 1,132
  • Supplement: 43
  • BibTeX: 25
  • EndNote: 23
Views and downloads (calculated since 07 Feb 2025)
Cumulative views and downloads (calculated since 07 Feb 2025)

Viewed (geographical distribution)

Total article views: 1,132 (including HTML, PDF, and XML) Thereof 1,132 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 01 Aug 2025
Download
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.
Share
Altmetrics
Final-revised paper
Preprint