Forest Data Partnership
با مجموعهها، منظم بمانید
ذخیره و طبقهبندی محتوا براساس اولویتهای شما.
[null,null,[],[[["\u003cp\u003eThe Forest Data Partnership fosters collaboration and uses data to monitor global deforestation, degradation, and restoration related to commodity production.\u003c/p\u003e\n"],["\u003cp\u003eThe platform provides probability models for identifying cocoa, palm, and rubber tree crops at a 10-meter resolution to help understand land use changes.\u003c/p\u003e\n"],["\u003cp\u003eA Forest Persistence model is available to assess undisturbed forest areas and contribute to conservation efforts.\u003c/p\u003e\n"],["\u003cp\u003eThe shared datasets and models support biodiversity conservation, monitoring of deforestation drivers like the EU Deforestation Regulation (EUDR), and sustainable land use practices.\u003c/p\u003e\n"],["\u003cp\u003eAll datasets are publicly accessible but are not yet peer-reviewed, with more information available through linked GitHub READMEs.\u003c/p\u003e\n"]]],[],null,["# Forest Data Partnership\n\nThe Forest Data Partnership strengthens collaboration and application around global monitoring of commodity-driven deforestation, forest degradation and restoration efforts across the globe. \n[](https://forestdatapartnership.org) \n-\n\n |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### Cocoa Probability model 2025a](/earth-engine/datasets/catalog/projects_forestdatapartnership_assets_cocoa_model_2025a) |\n | Note: This dataset is not yet peer-reviewed. Please see this GitHub README for more information. 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 ... |\n | [agriculture](/earth-engine/datasets/tags/agriculture) [biodiversity](/earth-engine/datasets/tags/biodiversity) [conservation](/earth-engine/datasets/tags/conservation) [crop](/earth-engine/datasets/tags/crop) [eudr](/earth-engine/datasets/tags/eudr) [forestdatapartnership](/earth-engine/datasets/tags/forestdatapartnership) |\n\n-\n\n |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### Coffee Probability model 2025a](/earth-engine/datasets/catalog/projects_forestdatapartnership_assets_coffee_model_2025a) |\n | Note: This dataset is not yet peer-reviewed. Please see this GitHub README for more information. 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 ... |\n | [agriculture](/earth-engine/datasets/tags/agriculture) [biodiversity](/earth-engine/datasets/tags/biodiversity) [conservation](/earth-engine/datasets/tags/conservation) [crop](/earth-engine/datasets/tags/crop) [eudr](/earth-engine/datasets/tags/eudr) [forestdatapartnership](/earth-engine/datasets/tags/forestdatapartnership) |\n\n-\n\n |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### Forest Persistence v0](/earth-engine/datasets/catalog/projects_forestdatapartnership_assets_community_forests_ForestPersistence_2020) |\n | Note: This dataset is not yet peer-reviewed. Please see the GitHub README associated with this model for more information. This image provides a per-pixel score (in \\[0, 1\\]) that indicates whether the pixel area is occupied by undisturbed forest in year 2020. These scores are ... |\n | [biodiversity](/earth-engine/datasets/tags/biodiversity) [conservation](/earth-engine/datasets/tags/conservation) [deforestation](/earth-engine/datasets/tags/deforestation) [eudr](/earth-engine/datasets/tags/eudr) [forest-biomass](/earth-engine/datasets/tags/forest-biomass) [forestdatapartnership](/earth-engine/datasets/tags/forestdatapartnership) |\n\n-\n\n |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### Palm Probability model 2025a](/earth-engine/datasets/catalog/projects_forestdatapartnership_assets_palm_model_2025a) |\n | Note: This dataset is not yet peer-reviewed. Please see this GitHub README for more information. 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 ... |\n | [agriculture](/earth-engine/datasets/tags/agriculture) [biodiversity](/earth-engine/datasets/tags/biodiversity) [conservation](/earth-engine/datasets/tags/conservation) [crop](/earth-engine/datasets/tags/crop) [eudr](/earth-engine/datasets/tags/eudr) [forestdatapartnership](/earth-engine/datasets/tags/forestdatapartnership) |\n\n-\n\n |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### Rubber Tree Probability model 2025a](/earth-engine/datasets/catalog/projects_forestdatapartnership_assets_rubber_model_2025a) |\n | Note: This dataset is not yet peer-reviewed. Please see this GitHub README for more information. 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 ... |\n | [agriculture](/earth-engine/datasets/tags/agriculture) [biodiversity](/earth-engine/datasets/tags/biodiversity) [conservation](/earth-engine/datasets/tags/conservation) [crop](/earth-engine/datasets/tags/crop) [eudr](/earth-engine/datasets/tags/eudr) [forestdatapartnership](/earth-engine/datasets/tags/forestdatapartnership) |"]]
