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可可概率模型 2025a
注意:此数据集尚未接受同行评审。如需了解详情,请参阅此 GitHub README。此图片集提供了每像素估计的底层区域被商品占据的概率。概率估算值以 10 米为单位提供,由 … 农业 生物多样性 保护 作物 eudr forestdatapartnership -
咖啡概率模型 2025a
注意:此数据集尚未接受同行评审。如需了解详情,请参阅此 GitHub README。此图片集提供了每像素估计的底层区域被商品占据的概率。概率估算值以 10 米为单位提供,由 … 农业 生物多样性 保护 作物 eudr forestdatapartnership -
Forest Persistence v0
注意:此数据集尚未接受同行评审。如需了解详情,请参阅与此模型关联的 GitHub README。此图片提供了每个像素的得分(介于 0 到 1 之间),表示像素区域在 2020 年是否被未受干扰的森林所占据。这些得分如下: 生物多样性 保护 森林砍伐 eudr 森林生物量 forestdatapartnership -
橡胶树概率模型 2025a
注意:此数据集尚未接受同行评审。如需了解详情,请参阅此 GitHub README。此图片集提供了每像素估计的底层区域被商品占据的概率。概率估算值以 10 米为单位提供,由 … 农业 生物多样性 保护 作物 eudr forestdatapartnership
Datasets tagged pre-review in Earth Engine
[null,null,[],[[["\u003cp\u003eThis webpage features three datasets from the Forest Data Partnership, all currently in pre-review and available for analysis: Cocoa Probability, Forest Persistence, and Rubber Tree Probability.\u003c/p\u003e\n"],["\u003cp\u003eThese datasets offer per-pixel probability estimates or scores relating to the presence of cocoa, undisturbed forest (in 2020), and rubber trees, respectively.\u003c/p\u003e\n"],["\u003cp\u003eThe data is provided at 10-meter resolution and is relevant for biodiversity, conservation, and land use studies, as indicated by their associated tags.\u003c/p\u003e\n"],["\u003cp\u003eEach dataset has an associated GitHub README with further information about the models and their development.\u003c/p\u003e\n"]]],[],null,["# Datasets tagged pre-review in Earth Engine\n\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|\n | Note: This dataset is not yet peer-reviewed.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 | [### 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) |"]]