AI-generated Key Takeaways
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This dataset provides a 30-meter resolution map of primary humid tropical forests for the year 2001.
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It was created by the UMD GLAD team using Landsat imagery to support land use planning and ecosystem service maintenance.
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The data is freely available for use without restrictions, although attribution is requested.
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The dataset highlights the ongoing threat to primary forests from economic drivers, emphasizing the need for balancing development with conservation.
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Users can explore and analyze this dataset using Google Earth Engine.

- Dataset Availability
- 2001-01-01T00:00:00Z–2002-01-01T00:00:00Z
- Dataset Provider
- UMD/GLAD
- Tags
Description
Primary humid tropical forests provide numerous global ecosystem services, but are under continuing threat of clearing from economic drivers. To facilitate national land use planning and balancing the goals of economic development and maintenance of ecosystem services, a primary humid tropical forest map was created by the UMD GLAD team. The primary forest extent was mapped for the year 2001 at a spatial resolution of 30 meters using globally acquired, free-of-charge, and consistently processed Landsat imagery.
Bands
Pixel Size
30 meters
Bands
Name | Pixel Size | Description |
---|---|---|
Primary_HT_forests |
meters | Primary Humid Tropical Forests |
Primary_HT_forests Class Table
Value | Color | Description |
---|---|---|
1 | #008000 | Primary Humid Tropical Forests |
Terms of Use
Terms of Use
The data may be used by anyone, anywhere, anytime without permission, license or royalty payment. Attribution using the recommended citation is requested.
Citations
Turubanova S., Potapov P., Tyukavina, A., and Hansen M. (2018) Ongoing primary forest loss in Brazil, Democratic Republic of the Congo, and Indonesia. Environmental Research Letters. https://doi.org/10.1088/1748-9326/aacd1c
Explore with Earth Engine
Code Editor (JavaScript)
var dataset = ee.ImageCollection( 'UMD/GLAD/PRIMARY_HUMID_TROPICAL_FORESTS/v1').mosaic().selfMask(); var visualization = { bands: ['Primary_HT_forests'], min: 1.0, max: 1.0, palette: ['008000'] }; Map.setCenter(0.0, 0.0, 2); Map.addLayer(dataset, visualization, 'Primary HT forests');