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Global forest cover 2020 - Data Access

About the data

The global map of forest cover was created by combining available global datasets (wall-to-wall or global in their scope) on tree cover, tree height, land cover and land use into a single harmonized globally-consistent representation of where forests existed in 2020.

The workflow consists in first mapping the global maximum extent of tree cover circa the year 2020 from the combination of ESA World Cover 2020 and 2021, WRI Tropical Tree Cover 2020, UMD Global land cover and land use 2019, Global Mangrove Watch 2020 and JRC Tropical Moist Forest 2020 datasets. In a second step, a series of overlays and decision rules are applied to reduce this maximum extent of tree cover and align it with the Forest definition using datasets covering cropland and commodity expansion, land use change, built-up and water.

Forthcoming technical reports will describe the methodology and accuracy of the global map of forest cover version 2. A JRC Science for Policy report (Bourgoin et al. 2024) describes the input layers and mapping approach of the global map of forest cover version 1.

Known issues

The following tables show a non-exhaustive list of issues that have not been corrected in the map. The table “by region” lists issues of broader, more general nature. Specific issues are listed in the table “by coordinates”, where the coordinates point approximately to the centre location where the issue was found. Occasionally, these lists may be updated. Improvements of the map (higher versions) will aim to alleviate some of the known issues.

By region

Region Description of the issue
Urban areas Heterogeneous categorization of urban forests and residual woodlands. Some urban parks may be included as forests in the final map (commission errors)
Global Artefacts (striping patterns) linked to data and technical issues from Landsat 7 ETM+ satellite sensor (commission errors).
Global Salt and pepper effect although it has been mitigated by the post-processing steps
Global Geometric shifts due to crossing of different input layers that result in commission or omission errors along forest edges
Global heterogeneous classification of forest in seasonally inundated areas (areas along riparian forests and rivers)
Global Errors of commission with small rivers
Mountainous areas Underestimation of forests in areas with high slopes (omission errors)
Tropical dry forest Separation between tropical dry open forests and shrublands are often difficult to capture, leading to mapping with heterogeneous accuracy in tropical dry domain (mix of omission and commission errors)
Indonesia, Malaysia, West Africa Overestimation of forest cover in areas with small-holder oil palm plantations or mixed oil palm plantations (oil palm mixed with other crops) or oil palm plantations with low canopy coverage resulting in commission errors
Ivory Coast, Ghana, Cameroon Overestimation of forest cover in cocoa production area, mainly in shaded cocoa agroforestry systems (commission errors)
New Caledonia Overestimation of forest in landscapes with low density of tree cover
Sri Lanka Overestimation of forest in tree crops areas
Global Potential confusion between forest cover and tree plantation for agricultural use (e.g. orchards) or rubber plantations
Global Recently burned and clear cut logged forests may be classified as non-forest cover due to the absence of standing trees (omission errors)
Tropics Forest edges in heterogeneous landscapes may not be accurately mapped due to the complex mosaics between forests and other land cover (omission errors)
Easternmost Siberia Block of forested land mapped in no tree or very sparse tree area
180 degree longitude Missing forest area

By coordinates

Longitude Latitude Description of the issue Date Source
-60.39555 -18.33929 Stripes 12/6/2023 Producer
13.84255 8.77345 Stripes 12/6/2023 Producer
23.6801 10.02 Straight line across Africa 12/6/2023 Producer
24.80143 9.6225 Stripes 12/6/2023 Producer
26.04346 9.29019 Stripes 12/6/2023 Producer
30.17033 6.45132 Stripes 12/6/2023 Producer
31.24432 4.85705 Stripes 12/6/2023 Producer
33.02064 4.41722 Stripes 12/6/2023 Producer
31.485 -10.014 Straight line across Southern Africa 12/6/2023 Producer
20.0363 -10.4397 Stripes 12/6/2023 Producer
19.7457 -9.0165 Stripes 12/6/2023 Producer
20.4062 -8.8466 Stripes 12/6/2023 Producer
19.6471 -8.0315 Stripes 12/6/2023 Producer
19.91755 -7.11935 Stripes 12/6/2023 Producer
-2.1058 8.8034 Stripes 12/6/2023 Producer
14.794 7.7276 Stripes 12/6/2023 Producer
19.7644 9.446 Stripes 12/6/2023 Producer
21.7979 9.4115 Stripes 12/6/2023 Producer
21.7333 10.4042 Stripes 12/6/2023 Producer
97.9 26.3 Stripes 23/1/2025 Producer
64.1821 67.9923 commission error in polar areas 12/6/2023 Producer
41.689082 -0.816276 Omission of dry forest 12/6/2023 Producer
179.9415 -16.184 Missing forest area � straight line 12/6/2023 Producer
29.78134 -0.99987 Straight line between forest and non-forest 29/10/2024 Producer
115.4062 -2.237514 Potential underestimation of forest area 29/10/2024 Producer
98 26.5 Stripes and straight lines 29/10/2024 Producer
109.25 18.79 Large areas of forests and tree plantations (which resemble timber plantations) are not included in forests, whereas bare lands are 29/10/2024 Producer
6.4 4.4 Rivers wider than 10 meters mapped as forests 29/10/2024 Producer
-8.5 7.54 Industrial mine and bare lands wrongly classified as forest 29/10/2024 Producer
-7.15 41.53 Olive tree plantations classified as forest 29/10/2024 Producer
-6.8 41.275 Coarse classification, no clear delimitation between forest and non-forest 29/10/2024 Producer
-176.53 -44.07 Removal of large patches of forest 29/10/2024 Producer
-15.6 28.1 Overestimation of forest 29/10/2024 Producer
17.8 -19.4 Omission of dry forest areas 23/1/2025 Producer
3.35 7.91 Shrubland and bare land considered as forest 29/10/2024 Producer
6.689 4.987 Palm tree plantations and bare land classified as forest 29/10/2024 Producer
7.444 4.601 Bare land and forest areas classified 29/10/2024 Producer
45.05 59.75 Bare land areas wrongly classified as forest at the edge 29/10/2024 Producer
-8.498 7.675 Agricultural palm tree plantation classified as forest 29/10/2024 Producer
5.66 33.48 Agricultural tree plantation (probably date palm) classified as forest. 29/10/2024 Producer
-5.64 8.27 Block pattern in North Ivory Coast 21/10/2024 Producer
57.6179 64.37941 River considered as forest 21/10/2024 Producer
79 44.8 Large areas of grassland classified as forests 21/10/2024 Producer
-96.38994886 58.99829197 Underestimation of forest area 22/10/2024 Producer
-119.5399653 66.54306862 Underestimation of forest area 22/10/2024 Producer
-136.7822638 64.92407444 Underestimation of forest area 22/10/2024 Producer
-89.14038516 17.97903504 Underestimation of forest area 22/10/2024 Producer
-93.25872384 17.89919355 Underestimation of forest area 22/10/2024 Producer
9.286121046 56.24023284 Overestimation of forest area 24/10/2024 Producer
15.14556587 57.74107253 Overestimation of forest area 24/10/2024 Producer
15.14556587 57.74107253 Overestimation of forest area 24/10/2024 Producer
13.71685914 41.52737767 Overestimation of forest area 24/10/2024 Producer
-7.15 41.53 Olive tree plantations classified as forest 24/10/2024 Producer
37.62165 -0.79218 Sharp removal of forest on a homogeneous area 24/10/2024 Producer
31.24986 -1.41056 Artefact - sharp line 24/10/2024 Producer

Data Download

The global forest cover map of 2020 version 2 is available for download by 10°x10° tiles. The tiling starts at 180°W and 80°N with tile ID “N80” and “W180”, respectively. Tiles over the ocean are not provided. The file format is GEOTIFF.

The naming convention is as follows JRC_GFC2020_V2_[lat]_[lon].tif, where:

  • [lat]: latitude of the tile’s top-left corner
  • [lon]: longitude of the tile’s top left corner

Map coordinates are in latitude and longitude, referenced to the WGS84 datum.

Click on the tile in the image below to start the download.

global map

The previous version of the global forest cover map of 2020 (JRC_GFC2020_V1) is available here

Supporting files

Symbology

Each of the downloadable files can be displayed in desktop GIS tools. The table below contains symbology files to display the colourmap and labels for the values in QGIS and ArcGIS.

Dataset QGIS ArcGIS
Global forest cover map 2020, Version 2 JRC_GFC2020_V2.qml JRC_GFC2020_V2.lyr

Metadata

The files for download are geolocated (latitude and longitude with WGS84 datum) but do not contain any metadata information. Please right-click in the table below to download the metadata file.

Dataset ISO 19139 Metadata file
Global forest cover map 2020, Version 2 JRC_GFC2020_V2.xml

Other data access

Interactive visualization of the global forest cover map along with frequently asked questions and other information can be found at the EU Observatory on deforestation and forest degradation website.

Web Map Service

The global forest cover map of 2020 can also be viewed in other websites or GIS clients as WMS (Web Map Service). They are not suitable for analysis as the data are represented only as RGB images. The WMS URL is: https://ies-ows.jrc.ec.europa.eu/iforce/gfc2020/wms.py?

Google Earth Engine

The Global forest cover map 2020 (Version 2) can also be accessed and used in the Google Earth Engine platform: https://developers.google.com/earth-engine/datasets/catalog/JRC_GFC2020_V2

Licence

All data here are produced under studies funded by the Directorate-General for Environment of the European Commission through the Dev-ForObs project. All data are provided free-ofcharge, without restriction of use. For the full license information see the Copernicus Regulation of the European Commission.

Publications, models and data products that make use of this dataset must include proper acknowledgement, including citing dataset as in the following citation:

Bourgoin, Clement; Verhegghen, Astrid; Degreve, Lucas; Ameztoy, Iban; Carboni, Silvia; Colditz, Rene; Achard, Frederic (2024): Global map of forest cover 2020 - version 2. European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/e554d6fb-6340-45d5-9309-332337e5bc26.

Disclaimer

The designations employed and the presentation of material on this map do not imply the expression of any opinion whatsoever on the part of the European Union concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries.