AI-generated Key Takeaways
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The dataset is a 10m global industrial and smallholder oil palm map for 2019, covering areas where oil palm plantations were detected.
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The classified images were created using a convolutional neural network based on Sentinel-1 and Sentinel-2 half-year composites.
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The dataset includes a classification band with descriptions for Industrial closed-canopy oil palm, Smallholder closed-canopy oil palm, and other land covers.
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The dataset is available from 2019-01-01 to 2019-12-31 and is provided by the Biopama programme.
- Dataset Availability
- 2019-01-01T00:00:00Z–2019-12-31T00:00:00Z
- Dataset Provider
- Biopama programme
- Tags
Description
The dataset is a 10m global industrial and smallholder oil palm map for 2019. It covers areas where oil palm plantations were detected. The classified images are the output of a convolutional neural network based on Sentinel-1 and Sentinel-2 half-year composites.
See article for additional information.
Bands
Bands
| Name | Pixel Size | Description |
|---|---|---|
classification
|
10 meters | Oil Palm class description |
classification Class Table
| Value | Color | Description |
|---|---|---|
|
1
|
#ff0000 | Industrial closed-canopy oil palm plantations |
|
2
|
#ef00ff | Smallholder closed-canopy oil palm plantations |
|
3
|
#696969 | Other land covers and/or uses that are not closed-canopy oil palm. |
Terms of Use
Terms of Use
Citations
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Adrià, D., Serge, W., Erik, M., David, G., Stephen, P., & Zoltan, S. (2021). High resolution global industrial and smallholder oil palm map for 2019 (Version v1) [Data set]. Zenodo. doi:10.5281/zenodo.4473715
DOIs
Explore with Earth Engine
Code Editor (JavaScript)
// Import the dataset; a collection of composite granules from 2019. var dataset = ee . ImageCollection ( 'BIOPAMA/GlobalOilPalm/v1' ); // Select the classification band. var opClass = dataset . select ( 'classification' ); // Mosaic all of the granules into a single image. var mosaic = opClass . mosaic (); // Define visualization parameters. var classificationVis = { min : 1 , max : 3 , palette : [ 'ff0000' , 'ef00ff' , '696969' ] }; // Create a mask to add transparency to non-oil palm plantation class pixels. var mask = mosaic . neq ( 3 ); mask = mask . where ( mask . eq ( 0 ), 0.6 ); // Display the data on the map. Map . addLayer ( mosaic . updateMask ( mask ), classificationVis , 'Oil palm plantation type' , true ); Map . setCenter ( - 3.0175 , 5.2745 , 12 );
