Articles | Volume 13, issue 3
https://doi.org/10.5194/essd-13-1211-2021
https://doi.org/10.5194/essd-13-1211-2021
Data description paper
 | 
24 Mar 2021
Data description paper |  | 24 Mar 2021

High-resolution global map of smallholder and industrial closed-canopy oil palm plantations

Adrià Descals, Serge Wich, Erik Meijaard, David L. A. Gaveau, Stephen Peedell, and Zoltan Szantoi

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Latest update: 16 Jun 2024
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Short summary
Decision-making for sustainable vegetable oil production requires accurate global oil crop maps. We used high-resolution satellite data to train a deep learning model that accurately classified industrial and smallholder oil palm, the main oil-producing crop. Our results outperformed previous studies and proved the suitability of deep learning for land use mapping. The global oil palm area was 21±0.42 Mha for 2019; however, young and sparse plantations were not included in this estimate.
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