- |---| | [### Cocoa Probability model 2026a ![](https://developers.google.com/earth-engine/datasets/images/forestdatapartnership/projects_forestdatapartnership_assets_cocoa_model_2026a_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_forestdatapartnership_assets_cocoa_model_2026a) | | 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 a machine learning model. For details, see the technical documentation on the Forest Data Partnership ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture) [alphaearth-derived](https://developers.google.com/earth-engine/datasets/tags/alphaearth-derived) [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity) [conservation](https://developers.google.com/earth-engine/datasets/tags/conservation) [crop](https://developers.google.com/earth-engine/datasets/tags/crop) [eudr](https://developers.google.com/earth-engine/datasets/tags/eudr) | - |---| | [### Coffee Probability model 2026a ![](https://developers.google.com/earth-engine/datasets/images/forestdatapartnership/projects_forestdatapartnership_assets_coffee_model_2026a_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_forestdatapartnership_assets_coffee_model_2026a) | | 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 a machine learning model. For details, see the technical documentation on the Forest Data Partnership ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture) [alphaearth-derived](https://developers.google.com/earth-engine/datasets/tags/alphaearth-derived) [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity) [conservation](https://developers.google.com/earth-engine/datasets/tags/conservation) [crop](https://developers.google.com/earth-engine/datasets/tags/crop) [eudr](https://developers.google.com/earth-engine/datasets/tags/eudr) | - |---| | [### Farmscapes 2020 ![](https://developers.google.com/earth-engine/datasets/images/nature-trace/projects_nature-trace_assets_farmscapes_england_v1_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_nature-trace_assets_farmscapes_england_v1_0) | | The Farmscapes 2020 dataset provides high-resolution (25cm) probability maps for three key semi-natural features within England's agricultural landscapes: hedgerows, woodland, and stone walls. This dataset was developed in collaboration with the Leverhulme Centre for Nature Recovery at Oxford to serve as a baseline for applications ... | | [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity) [climate](https://developers.google.com/earth-engine/datasets/tags/climate) [conservation](https://developers.google.com/earth-engine/datasets/tags/conservation) [ecological-connectivity](https://developers.google.com/earth-engine/datasets/tags/ecological-connectivity) [forest](https://developers.google.com/earth-engine/datasets/tags/forest) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover) | - |---| | [### Farmscapes 2020 Vectorised ![](https://developers.google.com/earth-engine/datasets/images/nature-trace/projects_nature-trace_assets_farmscapes_england_v1_0_vectorised_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_nature-trace_assets_farmscapes_england_v1_0_vectorised) | | This is the vectorised version of the Farmscapes 2020 raster dataset. It provides polygon geometries representing fine-scale semi-natural landscape features (specifically hedgerows, woodland, and stone walls) across England's agricultural landscapes. This dataset was developed in collaboration with the Oxford Leverhulme Centre for Nature Recovery to ... | | [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity) [climate](https://developers.google.com/earth-engine/datasets/tags/climate) [conservation](https://developers.google.com/earth-engine/datasets/tags/conservation) [ecological-connectivity](https://developers.google.com/earth-engine/datasets/tags/ecological-connectivity) [forest](https://developers.google.com/earth-engine/datasets/tags/forest) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover) | - |---| | [### Forest Persistence v0 ![](https://developers.google.com/earth-engine/datasets/images/forestdatapartnership/projects_forestdatapartnership_assets_community_forests_ForestPersistence_2020_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_forestdatapartnership_assets_community_forests_ForestPersistence_2020) | | 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 provided at 30 meter resolution, and have been generated by a convergence of evidence approach to combining multiple forest ... | | [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity) [conservation](https://developers.google.com/earth-engine/datasets/tags/conservation) [deforestation](https://developers.google.com/earth-engine/datasets/tags/deforestation) [eudr](https://developers.google.com/earth-engine/datasets/tags/eudr) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass) [forestdatapartnership](https://developers.google.com/earth-engine/datasets/tags/forestdatapartnership) | - |---| | [### Forest Typology (ForTy) 2020 v1.0 ![](https://developers.google.com/earth-engine/datasets/images/nature-trace/projects_nature-trace_assets_forest_typology_forest_typology_2020_v1_0_collection_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_nature-trace_assets_forest_typology_forest_typology_2020_v1_0_collection) | | The Forest Typology (ForTy) v1 dataset consists of a global per-class probability map at 10 m resolution covering all land areas between 65°S and 84°N latitude for the year 2020. The six-class typology is aligned with FAO and EU Deforestation Regulation (EUDR) definitions: Class 1 ... | | [alphaearth-derived](https://developers.google.com/earth-engine/datasets/tags/alphaearth-derived) [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity) [climate](https://developers.google.com/earth-engine/datasets/tags/climate) [conservation](https://developers.google.com/earth-engine/datasets/tags/conservation) [deforestation](https://developers.google.com/earth-engine/datasets/tags/deforestation) [eudr](https://developers.google.com/earth-engine/datasets/tags/eudr) | - |---| | [### Global Oil Palm Extent and Planting Year (1990-2021) v1.2 ![](https://developers.google.com/earth-engine/datasets/images/BIOPAMA/BIOPAMA_GlobalOilPalm_v1_2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/BIOPAMA_GlobalOilPalm_v1_2) | | Global oil palm extent for 2016-2021 at 10 m resolution and oil palm planting year from 1990 to 2021 at 30 m resolution. The dataset consists of 609 100x100 km grid tiles covering tropical and subtropical oil-palm-growing regions worldwide, mapping 23.98 Mha of closed-canopy oil ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture) [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity) [conservation](https://developers.google.com/earth-engine/datasets/tags/conservation) [crop](https://developers.google.com/earth-engine/datasets/tags/crop) [global](https://developers.google.com/earth-engine/datasets/tags/global) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover) | - |---| | [### Natural Forests of the World 2020 ![](https://developers.google.com/earth-engine/datasets/images/nature-trace/projects_nature-trace_assets_forest_typology_natural_forest_2020_v1_0_collection_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_nature-trace_assets_forest_typology_natural_forest_2020_v1_0_collection) | | Natural Forests of the World 2020, provides a global map of natural forest probability for the year 2020 at a 10-meter resolution. It was developed to support initiatives like the European Union's Deforestation Regulation (EUDR) and other efforts for forest conservation and monitoring. The map ... | | [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity) [climate](https://developers.google.com/earth-engine/datasets/tags/climate) [conservation](https://developers.google.com/earth-engine/datasets/tags/conservation) [deforestation](https://developers.google.com/earth-engine/datasets/tags/deforestation) [eudr](https://developers.google.com/earth-engine/datasets/tags/eudr) [forest](https://developers.google.com/earth-engine/datasets/tags/forest) | - |---| | [### Palm Probability model 2026a ![](https://developers.google.com/earth-engine/datasets/images/forestdatapartnership/projects_forestdatapartnership_assets_palm_model_2026a_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_forestdatapartnership_assets_palm_model_2026a) | | 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 a machine learning model. For details, see the technical documentation on the Forest Data Partnership ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture) [alphaearth-derived](https://developers.google.com/earth-engine/datasets/tags/alphaearth-derived) [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity) [conservation](https://developers.google.com/earth-engine/datasets/tags/conservation) [crop](https://developers.google.com/earth-engine/datasets/tags/crop) [eudr](https://developers.google.com/earth-engine/datasets/tags/eudr) | - |---| | [### RESOLVE Ecoregions 2017 ![](https://developers.google.com/earth-engine/datasets/images/RESOLVE/RESOLVE_ECOREGIONS_2017_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/RESOLVE_ECOREGIONS_2017) | | The RESOLVE Ecoregions dataset, updated in 2017, offers a depiction of the 846 terrestrial ecoregions that represent our living planet. View the stylized map at https://ecoregions2017.appspot.com/ or in Earth Engine. Ecoregions, in the simplest definition, are ecosystems of regional extent. Specifically, ecoregions represent distinct assemblages ... | | [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity) [conservation](https://developers.google.com/earth-engine/datasets/tags/conservation) [ecoregions](https://developers.google.com/earth-engine/datasets/tags/ecoregions) [ecosystems](https://developers.google.com/earth-engine/datasets/tags/ecosystems) [global](https://developers.google.com/earth-engine/datasets/tags/global) [table](https://developers.google.com/earth-engine/datasets/tags/table) | - |---| | [### Rubber Probability model 2026a ![](https://developers.google.com/earth-engine/datasets/images/forestdatapartnership/projects_forestdatapartnership_assets_rubber_model_2026a_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_forestdatapartnership_assets_rubber_model_2026a) | | 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 a machine learning model. For details, see the technical documentation on the Forest Data Partnership ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture) [alphaearth-derived](https://developers.google.com/earth-engine/datasets/tags/alphaearth-derived) [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity) [conservation](https://developers.google.com/earth-engine/datasets/tags/conservation) [crop](https://developers.google.com/earth-engine/datasets/tags/crop) [eudr](https://developers.google.com/earth-engine/datasets/tags/eudr) | - |---| | [### Species Distribution, Australia Mammals ![](https://developers.google.com/earth-engine/datasets/images/nature-trace/projects_nature-trace_assets_species_distribution_models_australia_mammals_v0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_nature-trace_assets_species_distribution_models_australia_mammals_v0) | | These species distribution model outputs, developed by Google in collaboration with QCIF and EcoCommons, represent estimates of species' relative occurrence likelihoods (i.e., higher values indicate a higher likelihood that the species would be detected at a location, for a given survey methodology and given survey ... | | [alphaearth-derived](https://developers.google.com/earth-engine/datasets/tags/alphaearth-derived) [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity) [conservation](https://developers.google.com/earth-engine/datasets/tags/conservation) [ecosystems](https://developers.google.com/earth-engine/datasets/tags/ecosystems) [nature-trace](https://developers.google.com/earth-engine/datasets/tags/nature-trace) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset) |