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.

Citations

C. Vancutsem, F. Achard, J.-F. Pekel, G. Vieilledent, S. Carboni, D. Simonetti, J. Gallego, L.E.O.C. Aragão, R. Nasi. Long-term (1990-2019) monitoring of forest cover changes in the humid tropics. Science Advances

If you are using the data as a layer in a published map, please include the following attribution text: 'Source: EC JRC’

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.

Data Users Guide

For a description of the datasets and details on how to use the data, an User Guide is available.

A Technical report provides complementary information on the approach and products.

Delivery Mechanisms

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, Data Download, Google Earth Engine and Web Map Service. These are described in the following sections.

Tropical Moist Forest Explorer

The Tropical Moist Forest Explorer is a web-mapping tool that shows the dataset and allows users to navigate the tropics visualizing the main layers of the Tropical Moist Forest dataset without installing any software. It also allows users to view the annual Tropical Moist Forest cover and changes over the past three decades and the complete history of annual valid observations and disruption observations by clicking on the map. This tool is intended as a data viewer and does not provide any analytical features. These data can be accessed using Data Download or Google Earth Engine for further analysis.

Data Download

The following spatial datasets are available for download: Undisturbed and degraded tropical moist forest (2020), Transition Map - Sub types, Transition Map - Main Classes, Annual change collection (1990-2020), 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_2020[...].tif
Other layers (Intensity, Duration, Annual disruption observations, Annual valid observations, Start monitoring period) are available in Google Earth Engine.

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
Transition Map - Main Classes TransitionMap_MainClasses_v1.qml TransitionMap_MainClasses_v1.lyr
Transition Map - Sub types (as visible on Web site) TransitionMap_Subtypes_v1.qml TransitionMap_Subtypes_v1.lyr
Annual change collection (1990-2020) AnnualChange_v1.qml AnnualChange_v1.lyr
Degradation year DegradationYear_v1.qml DegradationYear_v1.lyr
Deforestation year DeforestationYear_v1.qml DeforestationYear_v1.lyr
Undisturbed and degraded tropical moist forest (2020) UndisturbedDegradedForest_v1.qml UndisturbedDegradedForest_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
Transition Map – Sub types (as visible on the TMF explorer) TransitionMap_Subtypes.xml
Transition Map - Main Classes TransitionMap_MainClasses.xml
Annual change collection (1990-2020) AnnualChange.xml
Degradation year DegradationYear.xml
Deforestation year DeforestationYear.xml
Undisturbed and degraded tropical moist forest (2020) UndisturbedDegradedForest.xml

Google Earth Engine

Tutorial and Javascript codes for using the Tropical Moist Forest Dataset in Google Earth Engine are available here.

Asset ids

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:

DatasetAsset ID 1990-2020
Transition Map – Sub types (as visible on the TMF explorer) projects/JRC/TMF/v1_2020/TransitionMap_Subtypes
Transition Map - Main Classesprojects/JRC/TMF/v1_2020/TransitionMap_MainClasses
Annual change collection (1990-2020)projects/JRC/TMF/v1_2020/AnnualChanges
Deforestation Yearprojects/JRC/TMF/v1_2020/DeforestationYear
Degradation Yearprojects/JRC/TMF/v1_2020/DegradationYear
Intensityprojects/JRC/TMF/v1_2020/Intensity
Durationprojects/JRC/TMF/v1_2020/Duration
Annual Valid Observationsprojects/JRC/TMF/v1_2020/AnnualValidObs
Annual Disruption Observationsprojects/JRC/TMF/v1_2020/AnnualDisruptionObs
First year of the monitoring periodprojects/JRC/TMF/v1_2020/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?

Contacts

If you have any feedback on the Tropical Moist Forest data please contact: jrc-tropical-moist-forest@ec.europa.eu