Reconstructed global monthly burned area  maps from 1901 to 2020

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

doi:10.5194/essd-17-3599-2025

Articles | Volume 17, issue 7

https://doi.org/10.5194/essd-17-3599-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-17-3599-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 7

Data description article

|

30 Jul 2025

Data description article |

| 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

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PDF: 2,160
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BibTeX: 122
EndNote: 149

Views and downloads (calculated since 07 Feb 2025)

Month	HTML	PDF	XML	Total
Feb 2025	236	45	2	283
Mar 2025	128	25	3	156
Apr 2025	105	34	4	143
May 2025	180	47	5	232
Jun 2025	80	26	8	114
Jul 2025	187	66	5	258
Aug 2025	524	252	6	782
Sep 2025	985	86	4	1,075
Oct 2025	248	168	4	420
Nov 2025	312	212	4	528
Dec 2025	293	324	10	627
Jan 2026	243	187	21	451
Feb 2026	305	221	13	539
Mar 2026	336	167	13	516
Apr 2026	389	192	21	602
May 2026	333	100	17	450
Jun 2026	17	8	3	28

Cumulative views and downloads (calculated since 07 Feb 2025)

Month	HTML	PDF	XML	Total
Feb 2025	236	45	2	283
Mar 2025	128	25	3	156
Apr 2025	105	34	4	143
May 2025	180	47	5	232
Jun 2025	80	26	8	114
Jul 2025	187	66	5	258
Aug 2025	524	252	6	782
Sep 2025	985	86	4	1,075
Oct 2025	248	168	4	420
Nov 2025	312	212	4	528
Dec 2025	293	324	10	627
Jan 2026	243	187	21	451
Feb 2026	305	221	13	539
Mar 2026	336	167	13	516
Apr 2026	389	192	21	602
May 2026	333	100	17	450
Jun 2026	17	8	3	28

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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 × 10⁶km² 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.