![BIOPAMA/GlobalOilPalm/v1](https://developers.google.com/earth-engine/datasets/images/BIOPAMA/BIOPAMA_GlobalOilPalm_v1_sample.png?authuser=0000)
- Dataset Availability
- 2019-01-01T00:00:00Z–2019-12-31T00:00:00Z
- Dataset Provider
- Biopama programme
- Earth Engine Snippet
-
ee.ImageCollection("BIOPAMA/GlobalOilPalm/v1")
- 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
Citations:
Adrià, Descals, Serge, Wich, Erik, Meijaard, David, Gaveau, Stephen, Peedell, & Zoltan, Szantoi. (2021, January 27). High resolution global industrial and smallholder oil palm map for 2019 (Version v1). 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);