Page Summary
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The Global Map of Oil Palm Plantations is a 10m global map for 2019 covering areas where oil palm plantations were detected, generated using a convolutional neural network based on Sentinel-1 and Sentinel-2 data.
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The Palm Probability model 2025a is an image collection providing estimated per-pixel probability at 10 meter resolution that an area is occupied by the commodity.
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Global Map of Oil Palm Plantations
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 … agriculture biodiversity conservation crop global landuse -
Palm Probability model 2025a
This image collection provides estimated per-pixel probability that the underlying area is occupied by the commodity. The probability estimates are provided at 10 meter resolution, and have been generated by a machine learning model. For details, see the technical documentation on the Forest Data Partnership … agriculture biodiversity conservation crop eudr forestdatapartnership -
Palm Probability model 2025b
This image collection provides estimated per-pixel probability that the underlying area is occupied by the commodity. The probability estimates are provided at 10 meter resolution, and have been generated by a machine learning model. For details, see the technical documentation on the Forest Data Partnership … agriculture alphaearth-derived biodiversity conservation crop eudr