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)
Annual tree cover loss (stand-replacing disturbance of vegetation taller than 5 m) from Landsat at 30 m, 2001-2025, summed by country by WRI for areas with at least 30% tree canopy cover in 2000. Includes the share caused by fire, loss inside humid tropical primary forest, and the dominant driver of loss in each 1 km cell (permanent agriculture, hard commodities, shifting cultivation, logging, wildfire, settlements and infrastructure, other natural disturbances). Tree cover loss is not deforestation: it includes plantation harvest, fire and natural disturbance. Method changes from 2011 and 2015 onward make early and late years less comparable.
Numbers published from it
Licence and credit
- Licence
- CC BY 4.0
- What the terms say
“This work is licensed under a Creative Commons Attribution 4.0 International License”
From the producer's terms, checked 2026-10-04; re-checked automatically every week.
- Credit we give
- Source: Hansen/UMD/Google/USGS/NASA (Global Forest Change v1.13), accessed through Global Nature Watch (WRI table gadm__tcl__iso_change v20260424) on {date_accessed}. 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.
- Copy of the raw file
- Allowed: we keep a public copy of every version we use.
- Cite as
- 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.
Files
World tree cover loss and loss due to fire by year (ha), 2001-2025, at >=30% canopy cover in 2000; the sum of WRI's country table.
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__yearTree cover loss and loss due to fire by country (GADM ISO3 code) and year (ha), 2001-2025, at >=30% canopy cover in 2000.
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__yearTree cover loss inside the 2001 humid tropical primary forest extent (Turubanova et al. 2018) by country and year (ha), 2001-2025, at >=30% canopy cover in 2000. Without the canopy filter the table double-counts across thresholds.
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%20FROM%20data%20WHERE%20umd_tree_cover_density_2000__threshold%20%3D%2030%20AND%20is__umd_regional_primary_forest_2001%20%3D%20true%20GROUP%20BY%20iso%2C%20umd_tree_cover_loss__year%20ORDER%20BY%20iso%2C%20umd_tree_cover_loss__yearTree cover loss by country, WRI/Google DeepMind dominant driver class (eight classes including "Unknown") and year (ha), 2001-2025, at >=30% canopy cover in 2000. WRI counts permanent agriculture, hard commodities and settlements and infrastructure as permanent conversion to non-forest land use.
https://data-api.globalforestwatch.org/dataset/gadm__tcl__iso_change/v20260424/download/csv?sql=SELECT%20iso%2C%20wri_google_tree_cover_loss_drivers__driver%2C%20umd_tree_cover_loss__year%2C%20SUM%28umd_tree_cover_loss__ha%29%20AS%20umd_tree_cover_loss__ha%20FROM%20data%20WHERE%20umd_tree_cover_density_2000__threshold%20%3D%2030%20GROUP%20BY%20iso%2C%20wri_google_tree_cover_loss_drivers__driver%2C%20umd_tree_cover_loss__year%20ORDER%20BY%20iso%2C%20wri_google_tree_cover_loss_drivers__driver%2C%20umd_tree_cover_loss__year
Status
- Programme
- GFC v1.13 (2025 loss) was released with WRI's analysis on 29 April 2026; GFC-2026-v1.14 does not exist yet. The pinned country table v20260424 is not flagged latest by the API. Global Forest Watch is rebranding as Global Nature Watch (the dashboard and terms URLs already redirect), so URLs may change. The product depends on Landsat (USGS and NASA), which is exposed to US science funding cuts; UMD's GLAD lab is not itself a federal programme.
- Updates
- Annual, around April-May (2025 loss released 29 April 2026)
- Last check
- Fetched (2026-10-06T01:21:39Z)