Stay organized with collections
Save and categorize content based on your preferences.
info
This dataset is part of a Publisher Catalog, and not managed by Google Earth Engine.
Contact forestdatapartnership@googlegroups.com
for bugs or view more datasets
from the Forest Data Partnership Catalog. Learn more about Publisher datasets.
This image collection provides per-pixel probability that the underlying
area is occupied by palm.
These probability estimates are provided at 10 meter resolution, and have
been generated by a machine learning model. Labeled examples of known palm
and non-palm were supplied by community contributors to the Forest Data
Partnership. The predictors are annual composites built from publicly
available satellite imagery provided by Sentinel-1, Sentinel-2,
and ALOS DSM. Probability predictions are provided for an individual year,
denoted by the start and end time on each image in the collection. For the
initial version, predictions based on mosaics of 2020 imagery and 2023
imagery are included. Methods are described in
this preprint.
The community data product is meant to evolve over time, as more data comes
in from the community and the community model to produce the maps
continuously improves. If you would like to provide feedback on these
layers, please visit our
Collect Earth Online
project to contribute.
This image collection provides per-pixel probability that the underlying area is occupied by palm. These probability estimates are provided at 10 meter resolution, and have been generated by a machine learning model. Labeled examples of known palm and non-palm were supplied by community contributors to the Forest Data Partnership. The …
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],[],[[["\u003cp\u003eThis dataset provides per-pixel probability of palm oil plantation presence at 10-meter resolution, generated by a machine learning model trained on community-contributed data.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset has been superseded by a newer version, linked at the top of the page.\u003c/p\u003e\n"],["\u003cp\u003eProbability predictions are provided for 2020 and 2023, based on imagery mosaics from those years.\u003c/p\u003e\n"],["\u003cp\u003eUsers can contribute feedback or datasets to improve the model through linked resources.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is licensed under CC-BY 4.0 with attribution requirements and contains modified Copernicus Sentinel data.\u003c/p\u003e\n"]]],["This dataset, part of the Forest Data Partnership, offers per-pixel probability of palm presence, determined by a machine learning model at 10-meter resolution. It uses Sentinel-1, Sentinel-2, and ALOS DSM satellite imagery and community-provided data. The dataset includes predictions for 2020 and 2023, available from 2020 to 2023. Users can contribute feedback via Collect Earth Online or datasets through an online form. This dataset is licensed under CC-BY 4.0. Contact information for bugs or datasets is provided.\n"],null,["**Caution:** This dataset has been superseded by [projects/forestdatapartnership/assets/palm/model_2025a](/earth-engine/datasets/catalog/projects_forestdatapartnership_assets_palm_model_2025a). \ninfo\n\n\nThis dataset is part of a Publisher Catalog, and not managed by Google Earth Engine.\n\nContact forestdatapartnership@googlegroups.com\n\nfor bugs or [view more datasets](https://developers.google.com/earth-engine/datasets/publisher/forestdatapartnership)\nfrom the Forest Data Partnership Catalog. [Learn more about Publisher datasets](/earth-engine/datasets/publisher). \n[](https://forestdatapartnership.org) \n\nCatalog Owner\n: Forest Data Partnership\n\nDataset Availability\n: 2020-01-01T00:00:00Z--2023-12-31T23:59:59Z\n\nDataset Provider\n:\n\n\n [Produced by Google for the Forest Data Partnership](https://www.forestdatapartnership.org/)\n\nTags\n:\n agriculture \n biodiversity \n conservation \n crop \n deforestation \n eudr \n forestdatapartnership \n landuse \n palm \n plantation \npublisher-dataset \n\nDescription \nThis image collection provides per-pixel probability that the underlying\narea is occupied by palm.\n\nThese probability estimates are provided at 10 meter resolution, and have\nbeen generated by a machine learning model. Labeled examples of known palm\nand non-palm were supplied by community contributors to the Forest Data\nPartnership. The predictors are annual composites built from publicly\navailable satellite imagery provided by Sentinel-1, Sentinel-2,\nand ALOS DSM. Probability predictions are provided for an individual year,\ndenoted by the start and end time on each image in the collection. For the\ninitial version, predictions based on mosaics of 2020 imagery and 2023\nimagery are included. Methods are described in\n[this preprint](https://goo.gle/a_community_palm_model).\n\nThe community data product is meant to evolve over time, as more data comes\nin from the community and the community model to produce the maps\ncontinuously improves. If you would like to provide feedback on these\nlayers, please visit our\n[Collect Earth Online](https://app.collect.earth/review-institution?institutionId=2494)\nproject to contribute.\n\nIf you are interested in contributing datasets to this effort,\n[please reach out through this form](https://goo.gle/fdap-data).\n\nThis dataset corresponds to the output from the\n[20240312 model on GitHub](https://github.com/google/forest-data-partnership/tree/main/models).\n\nFor more information about the Forest Data Partnership, visit our\n[website](https://www.forestdatapartnership.org/).\n\nBands\n\n\n**Pixel Size**\n\n10 meters\n\n**Bands**\n\n| Name | Min | Max | Pixel Size | Description |\n|---------------|-----|-----|------------|------------------------------------------------------------------------------|\n| `probability` | 0 | 1 | meters | Probability that the pixels includes oil palm plantation for the given year. |\n\nTerms of Use\n\n**Terms of Use**\n\nThis dataset is licensed under\n[CC-BY 4.0](https://creativecommons.org/licenses/by/4.0/) and requires the\nfollowing attribution: \"This dataset is produced by Google for the Forest\nData Partnership.\"\n\nContains modified Copernicus Sentinel data \\[2015-present\\].\nSee the [Sentinel Data Legal Notice](https://sentinels.copernicus.eu/documents/247904/690755/Sentinel_Data_Legal_Notice).\n\nCitations \nCitations:\n\n- N. Clinton, et al. A community palm model. 2024. [Online](https://goo.gle/a_community_palm_model)\n\nExplore with Earth Engine **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)\n\nCode Editor (JavaScript) \n\n```javascript\nvar imageCollection = ee.ImageCollection(\n 'projects/forestdatapartnership/assets/community_palm/20240312');\n\n// View 2020 palm inferences\nvar palm2020 =\n imageCollection.filterDate(ee.Date('2020-01-01'), ee.Date('2020-12-31'));\n\nMap.addLayer(palm2020, {\n min: 0.0,\n max: 1.0,\n palette: ['#eff3ff', '#bdd7e7', '#6baed6', '#3182bd', '#08519c']\n});\n\nMap.setCenter(110, 0);\nMap.setZoom(4);\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/forestdatapartnership/projects_forestdatapartnership_assets_community_palm_20240312) \n[Palm Probability v20240312 \\[deprecated\\]](/earth-engine/datasets/catalog/projects_forestdatapartnership_assets_community_palm_20240312) \nThis image collection provides per-pixel probability that the underlying area is occupied by palm. These probability estimates are provided at 10 meter resolution, and have been generated by a machine learning model. Labeled examples of known palm and non-palm were supplied by community contributors to the Forest Data Partnership. The ... \nprojects/forestdatapartnership/assets/community_palm/20240312, agriculture,biodiversity,conservation,crop,deforestation,eudr,forestdatapartnership,landuse,palm,plantation,publisher-dataset \n2020-01-01T00:00:00Z/2023-12-31T23:59:59Z \n-11.94 92.99 11.71 132.71 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://www.forestdatapartnership.org/)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/projects_forestdatapartnership_assets_community_palm_20240312)"]]