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Tree cover lost each year, and the part due to fire

Hectares of tree cover lost each year since 2001, worldwide and in each country, and how much of it was lost to fire, mapped from Landsat satellites by the University of Maryland and tabulated by World Resources Institute for Global Forest Watch.

Latest value

25,528,556ha

Countries and territories (GADM's country codes, mapped to ISO 3166-1) and the world, which also includes areas GADM codes separately (XAD, Z01, Z06, Z07)., 2025. Version GFC-2025-v1.13, WRI table gadm__tcl__iso_change v20260424.

Tree cover lost each year, and the part due to fire (hectares)

50 values from 2001 to 2025. Lines: All tree cover loss, Of which, due to fire.
Show as a table
Tree cover lost each year, and the part due to fire, every value
PeriodPartValue (ha)Status
2001All tree cover loss13,353,185final
2002All tree cover loss16,451,141final
2003All tree cover loss14,474,242final
2004All tree cover loss19,907,531final
2005All tree cover loss18,096,830final
2006All tree cover loss17,649,188final
2007All tree cover loss18,386,423final
2008All tree cover loss18,609,740final
2009All tree cover loss16,990,723final
2010All tree cover loss18,552,414final
2011All tree cover loss17,577,765final
2012All tree cover loss23,530,630final
2013All tree cover loss20,641,741final
2014All tree cover loss23,731,435final
2015All tree cover loss19,620,839final
2016All tree cover loss29,673,820final
2017All tree cover loss29,376,718final
2018All tree cover loss24,748,746final
2019All tree cover loss24,172,682final
2020All tree cover loss25,801,113final
2021All tree cover loss25,270,467final
2022All tree cover loss22,816,301final
2023All tree cover loss28,253,344final
2024All tree cover loss29,592,479final
2025All tree cover loss25,528,556final
2001Of which, due to fire2,532,191final
2002Of which, due to fire4,582,518final
2003Of which, due to fire4,506,516final
2004Of which, due to fire5,428,566final
2005Of which, due to fire3,918,231final
2006Of which, due to fire4,185,672final
2007Of which, due to fire4,003,202final
2008Of which, due to fire4,265,944final
2009Of which, due to fire2,892,750final
2010Of which, due to fire3,660,547final
2011Of which, due to fire4,234,414final
2012Of which, due to fire6,744,062final
2013Of which, due to fire7,001,909final
2014Of which, due to fire6,433,189final
2015Of which, due to fire5,292,511final
2016Of which, due to fire9,627,816final
2017Of which, due to fire7,942,551final
2018Of which, due to fire6,465,932final
2019Of which, due to fire7,569,588final
2020Of which, due to fire8,878,518final
2021Of which, due to fire9,335,075final
2022Of which, due to fire6,716,173final
2023Of which, due to fire11,913,701final
2024Of which, due to fire13,464,850final
2025Of which, due to fire10,751,918final
Calculated by Environment Dashboard from Hansen/UMD/Google/USGS/NASA (Global Forest Change v1.13), accessed through Global Nature Watch (WRI table gadm__tcl__iso_change v20260424) on 2026-10-05. Tree cover loss due to fire: UMD/GLAD (Tyukavina et al. 2022). Tree cover loss by dominant driver: WRI/Google DeepMind (Sims et al. 2025). Primary humid tropical forest: Turubanova et al. (2018). CC BY 4.0. Changes: Summed WRI's country table by country and year at a tree canopy cover in 2000 of at least 30 percent; world totals of primary forest loss and of loss by driver summed by Environment Dashboard. CC BY 4.0.

Where it comes from

Producer
University of Maryland GLAD lab with Google, USGS and NASA; tabulated and served by World Resources Institute · Tree cover loss, Global Forest Change v1.13 (via Global Nature Watch)
Version
GFC-2025-v1.13, WRI table gadm__tcl__iso_change v20260424
File
https://data-api.globalforestwatch.org/dataset/gadm__tcl__iso_change/v20260424/download/csv?sql=SELECT%20umd_tree_cover_loss__year%2C%20SUM%28umd_tree_cover_loss__ha%29%20AS%20umd_tree_cover_loss__ha%2C%20SUM%28umd_tree_cover_loss_from_fires__ha%29%20AS%20umd_tree_cover_loss_from_fires__ha%20FROM%20data%20WHERE%20umd_tree_cover_density_2000__threshold%20%3D%2030%20GROUP%20BY%20umd_tree_cover_loss__year%20ORDER%20BY%20umd_tree_cover_loss__year
Fetched
2026-10-05 (automatically), 1,620 bytes
Fingerprint
sha256 79b791bcb241093320fc0e6297babf3c468e58027c31dc8213c328f68c46053e
Copies
No Wayback copy recorded yet.Our copy of the exact file
Cite the producer
Hansen, M. C., P. V. Potapov, R. Moore, M. Hancher, S. A. Turubanova, A. Tyukavina, D. Thau, S. V. Stehman, S. J. Goetz, T. R. Loveland, A. Kommareddy, A. Egorov, L. Chini, C. O. Justice, and J. R. G. Townshend. 2013. High-Resolution Global Maps of 21st-Century Forest Cover Change. Science 342 (15 November): 850-53. Data available on-line from: https://glad.earthengine.app/view/global-forest-change. Sims, M.J., R. Stanimirova, A. Raichuk, M. Neumann, J. Richter, F. Follett, J. MacCarthy, K. Lister, C. Randle, L. Sloat, E. Esipova, J. Jupiter, C. Stanton, D. Morris, C. M. Slay, D. Purves, and N. Harris. 2025. "Global Drivers of Forest Loss at 1 Km Resolution." Environmental Research Letters 20 (7): 074027. doi:10.1088/1748-9326/add606.
Producer
University of Maryland GLAD lab with Google, USGS and NASA; tabulated and served by World Resources Institute · Tree cover loss, Global Forest Change v1.13 (via Global Nature Watch)
Version
GFC-2025-v1.13, WRI table gadm__tcl__iso_change v20260424
File
https://data-api.globalforestwatch.org/dataset/gadm__tcl__iso_change/v20260424/download/csv?sql=SELECT%20iso%2C%20umd_tree_cover_loss__year%2C%20SUM%28umd_tree_cover_loss__ha%29%20AS%20umd_tree_cover_loss__ha%2C%20SUM%28umd_tree_cover_loss_from_fires__ha%29%20AS%20umd_tree_cover_loss_from_fires__ha%20FROM%20data%20WHERE%20umd_tree_cover_density_2000__threshold%20%3D%2030%20GROUP%20BY%20iso%2C%20umd_tree_cover_loss__year%20ORDER%20BY%20iso%2C%20umd_tree_cover_loss__year
Fetched
2026-10-05 (automatically), 273,719 bytes
Fingerprint
sha256 d2356e4f4d7ae8edc5830cf84fc5bafc7c69a53a144157751ef507201a210bd1
Copies
No Wayback copy recorded yet.Our copy of the exact file
Cite the producer
Hansen, M. C., P. V. Potapov, R. Moore, M. Hancher, S. A. Turubanova, A. Tyukavina, D. Thau, S. V. Stehman, S. J. Goetz, T. R. Loveland, A. Kommareddy, A. Egorov, L. Chini, C. O. Justice, and J. R. G. Townshend. 2013. High-Resolution Global Maps of 21st-Century Forest Cover Change. Science 342 (15 November): 850-53. Data available on-line from: https://glad.earthengine.app/view/global-forest-change. Sims, M.J., R. Stanimirova, A. Raichuk, M. Neumann, J. Richter, F. Follett, J. MacCarthy, K. Lister, C. Randle, L. Sloat, E. Esipova, J. Jupiter, C. Stanton, D. Morris, C. M. Slay, D. Purves, and N. Harris. 2025. "Global Drivers of Forest Loss at 1 Km Resolution." Environmental Research Letters 20 (7): 074027. doi:10.1088/1748-9326/add606.

What was done to it

  1. Read loss-country-annual: WRI's table gadm__tcl__iso_change v20260424 queried through the Global Forest Watch Data API with the SQL in the file's URL (https://data-api.globalforestwatch.org/dataset/gadm__tcl__iso_change/v20260424/download/csv?sql=SELECT%20iso%2C%20umd_tree_cover_loss__year%2C%20SUM%28umd_tree_cover_loss__ha%29%20AS%20umd_tree_cover_loss__ha%2C%20SUM%28umd_tree_cover_loss_from_fires__ha%29%20AS%20umd_tree_cover_loss_from_fires__ha%20FROM%20data%20WHERE%20umd_tree_cover_density_2000__threshold%20%3D%2030%20GROUP%20BY%20iso%2C%20umd_tree_cover_loss__year%20ORDER%20BY%20iso%2C%20umd_tree_cover_loss__year), at a tree canopy cover in 2000 of at least 30 percent. Hectares as in the file, not rounded.

    Code: pipeline/src/envdash/transforms/nature/gfw_tree_cover_loss.py · code sha256 15a82e1f48690b7a… · inputs 79b791bcb241… d2356e4f4d7a…

  2. A country and year with no row in the file has no loss recorded for it; nothing is filled in.

    Code: pipeline/src/envdash/transforms/nature/gfw_tree_cover_loss.py · code sha256 15a82e1f48690b7a… · inputs 79b791bcb241… d2356e4f4d7a…

  3. World: read loss-global-annual (the same query without the country grouping), 2001–2025. Checked that the countries, with the codes left out below, add up to it exactly in every year, for all loss and for loss due to fire.

    Code: pipeline/src/envdash/transforms/nature/gfw_tree_cover_loss.py · code sha256 15a82e1f48690b7a… · inputs 79b791bcb241… d2356e4f4d7a…

  4. Not published as countries: GADM codes with no entity in our table (XAD 80 ha; Z01 4,365 ha; Z06 555 ha; Z07 164,532 ha, all years together). Their loss is included in the world totals.

    Code: pipeline/src/envdash/transforms/nature/gfw_tree_cover_loss.py · code sha256 15a82e1f48690b7a… · inputs 79b791bcb241… d2356e4f4d7a…

What it covers

Geography
Countries and territories (GADM's country codes, mapped to ISO 3166-1) and the world, which also includes areas GADM codes separately (XAD, Z01, Z06, Z07).
Basis
Tree cover loss: stand-replacing disturbance, or the complete removal of tree cover canopy, of vegetation taller than 5 m, mapped each year from Landsat at 30 m (Hansen/UMD, Global Forest Change v1.13), where tree canopy cover was at least 30 percent in 2000. Loss is not deforestation: it includes plantation harvest, fire and natural disturbance, and regrowth is not subtracted. Method changes from 2011 and 2015 make early and late years less comparable. Loss due to fire: UMD/GLAD (Tyukavina et al. 2022), a part of all loss.
Unit
hectares (ha)