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Tropical Moist Forests product - Data Access

List of updates integrated in the TMF 2021 products

  • We improved the identification of forest conversion to commodities (classes 81-86 in the Transition map- Sub types) as follows:
    • We visually delineated missing plantation areas (mainly industrial plantations of oil palm, rubber, tea…) in Indonesia, Malaysia, Cambodia, Nigeria, Ghana and Brazil on the basis of the transition map 2020 for all areas with specific geometric shapes corresponding to plantations and very high resolution images available from Google Earth Engine (GEE) and Planet monthly composites. We also used the latest version of the Spatial Database of Planted Trees from the Global Forest Watch (accessed in February 2022) to complement missing large-scale industrial plantation from the TMF dataset.
    • We fully incorporated the smallholder and industrial closed-canopy oil palm plantations dataset from Descals et al. 2021 (https://doi.org/10.5194/essd-13-1211-2021) within the commodities mask.
    • We excluded tree plantations from the commodities mask and reclassified them into other land cover or afforestation (classes 91-93). To do so, we used the Spatial Database of Planted Trees database and more specifically using the plantation classes of acacia, eucalyptus, pine, teak or araucaria but also the class forest plantation identified in the Level-2 of the MapBiomass dataset 1985-2018 (https://www.mdpi.com/2072-4292/12/17/2735/htm). This reclassification was visually checked and completed using high-resolution images available in GEE and Planet monthly composites.
    • We used a buffer of 60m to ensure that the commodities mask did not overlap with the Open Street Map dataset (accessed in 2019) and the built-up areas (from 1975-2014 epochs) from the Global Human Settlement Layers P2016 (https://ghsl.jrc.ec.europa.eu/ghs_bu.php) (where TMF products are classified as non-forest).
  • We improved the distinction between deforestation without prior degradation, deforestation occurring after degradation and multiple events of degradation. Up to TMF version 2020, we applied two conditions to consider that deforestation occurred after degradation: “a recurrence value lower than 58% or a recurrence value lower than 70% with at least 6 years without any disruption events between the degradation and the deforestation disturbances”. In this new version, we now analyze the full sequence of disruptions (1982-2021) to better characterize complex trajectories such as direct deforestation, several events degradation (up to 4 events of degradation) or deforestation after degradation (single or multiple short events). Degradation is still characterized by a 2.5 years maximum duration while deforestation can be observed for a longer time. We required a minimum period of two years between two disturbance events (with no disruption detection).

    The figure below displays the values of Transition Map (2021), Annual Change (1982-2021) and disruption observation (1982-2021) for a given pixel (long:-58.57, lat: -11.40) The sequence of disruptions shows three distinct disturbance events of less than 2.5 years duration and separated by at least 2 years with no disruption observation. Previously this pixel corresponded to a tropical moist forest that has been degraded in 2005 and deforested in 2008. After corrections, this pixel is now classified as degraded forest with three stages of short duration degradation in 2005, 2008 and 2019.

    The update described above consequently improved the detection of the year of deforestation occurring after degradation which also concerns the date of forest conversion to plantation when a prior degradation occurred. We now provide this information as a GEE asset (see the Google Earth Engine below).

    The figure below shows the information of a pixel (long:-47.76, lat: -3.49) of tropical moist forest that has been degraded and deforested. The deforestation year in TMF version 2020 was 2001 and corresponded to the second time a disruption was observed. After corrections, the year of deforestation after degradation has been modified to 2012 as we detect a disturbance event of more than 3 years duration. We also improved the detection of the several events of short duration degradation prior deforestation (in 1998, 2001 and 2008). This improvement modifies the Transition Map but also the values of the annual change collection.

  • We improved the separation between degradation and deforestation that started the last year (2021). Up to TMF version 2020, a threshold of 10 disruptions was used to define a deforested land. We now calculate a ratio between the annual number of disruption and the annual number of valid observation. We defined a threshold of 45% (or 23% if the disturbance started after the second half of the year) on the basis of visual identification over new logging, burning or deforestation events in 2021.
  • We now integrate deforestation of regrowth forest of at least 10 years old and reclassify this trajectory in the Transition Map as a deforested land. To distinguish it from deforestation of undisturbed or degraded forest, we provide a mask of deforestation of regrowth as a GEE asset (see the Google Earth Engine below).

All of the datasets that have been produced to document the Tropical Moist Forest cover and changes over the past three decades are being made freely available using the following delivery mechanisms: Tropical Moist Forest Explorer, Country level statistics, Data Download, Google Earth Engine and Web Map Service. These are described in the following sections.

Country-level statistics 1990-2021

We provide the statistics of annual forest cover changes for the period 1990-2021 at the country level for countries with more than 1 Mha forest area in 1990. These statistics have been extracted directly from the different TMF products. Please select the country of interest in this dropdown menu and you will retrieve the annual area in million hectares of undisturbed TMF, forest degradation, deforestation, forest regrowth as well as many other sub-classes. More information on the different classes reported are provided in the FAQ.

Show statistics for:

or download the CSV file with all countries' statistics.

Data Download

The following spatial datasets are available for download: Undisturbed and degraded tropical moist forest, Transition Map - Sub types, Transition Map - Main Classes, Annual change collection (1990-2021), Degradation year and Deforestation year.

The Version of the Product appears in the file Names that are available for download e.g. JRC_TMF_TransitionMap_Subtypes_v1_1982_2021[...].tif

Other layers (Intensity, Duration, Annual disruption observations, Annual valid observations, Start monitoring period) are available in Google Earth Engine.

Download process

Individual 10°x10° files

The Tropical Moist Forest data are available to download in tiles 10°x10° from the map shown below. Click on the tile to show a list of the available datasets. Each one of these datasets is a hyperlink to the *.tif file.

Supporting files

Symbology

Each of the downloadable files can be displayed in desktop GIS tools (such as QGIS or ArcGIS) using a symbology that contains the colormap and the labels for the values. These can be added to the files by using the following symbology files.

Dataset QGIS ArcGIS
Undisturbed and degraded tropical moist forest UndisturbedDegradedForest_v1.qml UndisturbedDegradedForest_v1.lyr
Transition Map - Sub types (as visible on the TMF explorer) TransitionMap_Subtypes_v1.qml TransitionMap_Subtypes_v1.lyr
Transition Map - Main Classes TransitionMap_MainClasses_v1.qml TransitionMap_MainClasses_v1.lyr
Annual change collection (1990-2021) AnnualChange_v1.qml AnnualChange_v1.lyr
Degradation year DegradationYear_v1.qml DegradationYear_v1.lyr
Deforestation year DeforestationYear_v1.qml DeforestationYear_v1.lyr

Metadata

The downloadable files do not contain any metadata information and so it is provided here for each of the datasets. You may need to right click and Download Linked file.

Dataset ISO 19139 Metadata file
Undisturbed and degraded tropical moist forest UndisturbedDegradedForest.xml
Transition Map – Sub types (as visible on the TMF explorer) TransitionMap_Subtypes.xml
Transition Map - Main Classes TransitionMap_MainClasses.xml
Annual change collection (1990-2021) AnnualChange.xml
Degradation year DegradationYear.xml
Deforestation year DeforestationYear.xml

Google Earth Engine

The data can also be accessed and used in the Google Earth Engine platform - for more information see here. The following asset ids are used in Google Earth Engine:

Dataset Asset ID 1990-2021
Transition Map – Sub types (as visible on the TMF explorer)projects/JRC/TMF/v1_2021/TransitionMap_Subtypes
Transition Map - Main Classesprojects/JRC/TMF/v1_2021/TransitionMap_MainClasses
Annual change collection (1990-2021)projects/JRC/TMF/v1_2021/AnnualChanges
Deforestation Yearprojects/JRC/TMF/v1_2021/DeforestationYear
Degradation Yearprojects/JRC/TMF/v1_2021/DegradationYear
Areas of deforestation after degradationprojects/JRC/TMF/v1_2021/DeforestationAfterDegradation
Deforestation after degradation Yearprojects/JRC/TMF/v1_2021/DeforestationAfterDegradationYear
Areas of deforestation after Regrowthprojects/JRC/TMF/v1_2021/DeforestationAfterRegrowth
Intensityprojects/JRC/TMF/v1_2021/Intensity
Durationprojects/JRC/TMF/v1_2021/Duration
Annual Valid Observations 1982-2020projects/JRC/TMF/v1_2020/AnnualValidObs
Annual Disruption Observations 1982-2020projects/JRC/TMF/v1_2020/AnnualDisruptionObs
Annual Valid Observations in 2021projects/JRC/TMF/v1_2021/AnnualValidObs2021
Annual Disruption Observations in 2021projects/JRC/TMF/v1_2021/AnnualDisruptionObs2021
First year of the monitoring periodprojects/JRC/TMF/v1_2021/StartMonitoringPeriod

Web Map Service

The Tropical Moist Forest data can also be used within other websites or GIS clients as WMS (Web Map Service). These service provide a direct link to the images that are used in the Tropical Moist Forest Explorer and is the best option if you simply want to map the data and produce cartographic products.
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/tmf_v1/wms.py?

License

All data here are produced under studies funded by the Directorate-General for Climate Action of the European Commission through the Roadless-For pilot project and the Lot 2 (Tropical moist Forest Monitoring) of the ForMonPol project (Forest Monitoring for Policies). All data are provided free of charge, 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 these datasets must include proper acknowledgement, including citing datasets and the journal article as in the following citation.

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.