Global Map of Oil Palm Plantations

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Earth Engine Snippet
biodiversity biopama conservation crop global landuse oilpalm plantation


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.



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

Licensed under the Creative Commons Attribution 4.0 International License.


  • 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


Explore in Earth Engine

// Import the dataset; a collection of composite granules from 2019.
var dataset = ee.ImageCollection('BIOPAMA/GlobalOilPalm/v1');

// Select the classification band.
var opClass ='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.
             classificationVis, 'Oil palm plantation type', true);
Map.setCenter(-3.0175, 5.2745,12);