Global Map of Oil Palm Plantations

BIOPAMA/GlobalOilPalm/v1
Dataset Availability
2019-01-01T00:00:00Z–2019-12-31T00:00:00Z
Dataset Provider
Earth Engine Snippet
ee.ImageCollection("BIOPAMA/GlobalOilPalm/v1")

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

CC-BY-4.0

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);
Open in Code Editor
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.
BIOPAMA/GlobalOilPalm/v1, biodiversity,conservation,crop,global,landuse,palm,plantation
2019-01-01T00:00:00Z/2019-12-31T00:00:00Z
Google Earth Engine