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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 … biodiversity conservation crop global landuse oilpalm -
Oil Palm Plantation Probability v20240312
This image collection provides per-pixel probability that the underlying area is in oil palm cultivation. These probability estimates are provided at 10 meter resolution, and have been generated by a machine learning model. Labeled examples of oil palm plantations were supplied by community contributors to … biodiversity conservation crop deforestation eudr landuse
[null,null,[],[[["The datasets provide recent maps and probabilities of global oil palm plantations, aiding in monitoring and understanding land use related to this crop."],["They utilize satellite imagery and machine learning to identify and classify oil palm cultivation areas, offering valuable insights for biodiversity and conservation efforts."],["One dataset provides a 2019 global map of industrial and smallholder oil palm plantations at 10m resolution, while another offers per-pixel probabilities of oil palm presence for 2024 at the same resolution."],["These resources are useful for researchers, policymakers, and stakeholders concerned with the environmental and economic impacts of oil palm cultivation."]]],["Two datasets provide information on global oil palm plantations. The first is a 10m map of industrial and smallholder oil palm areas for 2019, derived from a convolutional neural network using Sentinel-1 and Sentinel-2 data. The second dataset offers per-pixel probability estimates of oil palm cultivation at 10m resolution. This is generated via a machine learning model trained with community-contributed examples, offering detailed insight into oil palm cultivation distribution. Both maps can help with biodiversity and conservation.\n"]]