- |---| | [### Canada AAFC Annual Crop Inventory ![](https://developers.google.com/earth-engine/datasets/images/AAFC/AAFC_ACI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/AAFC_ACI) | | Starting in 2009, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) began the process of generating annual crop type digital maps. Focusing on the Prairie Provinces in 2009 and 2010, a Decision Tree (DT) based methodology ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture) [canada](https://developers.google.com/earth-engine/datasets/tags/canada) [crop](https://developers.google.com/earth-engine/datasets/tags/crop) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover) | - |---| | [### 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) | - |---| | [### ESA WorldCereal 10 m v100 ![](https://developers.google.com/earth-engine/datasets/images/ESA/ESA_WorldCereal_2021_MODELS_v100_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ESA_WorldCereal_2021_MODELS_v100) | | The European Space Agency (ESA) WorldCereal 10 m 2021 product suite consists of global-scale annual and seasonal crop maps and their related confidence. They were generated as part of the ESA-WorldCereal project. More information on the content of these products and the methodology used to ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus) [crop](https://developers.google.com/earth-engine/datasets/tags/crop) [esa](https://developers.google.com/earth-engine/datasets/tags/esa) [global](https://developers.google.com/earth-engine/datasets/tags/global) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover) | - |---| | [### ESA WorldCereal AEZ v100 ![](https://developers.google.com/earth-engine/datasets/images/ESA/ESA_WorldCereal_AEZ_v100_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ESA_WorldCereal_AEZ_v100) | | The European Space Agency (ESA) WorldCereal classification system aims for product generation within one month after the end of a particular growing season. Due to the dynamic nature of these growing seasons across the globe, a global stratification into Agro-Ecological Zones (AEZ) was performed based ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture) [boundaries](https://developers.google.com/earth-engine/datasets/tags/boundaries) [crop](https://developers.google.com/earth-engine/datasets/tags/crop) [esa](https://developers.google.com/earth-engine/datasets/tags/esa) [global](https://developers.google.com/earth-engine/datasets/tags/global) [table](https://developers.google.com/earth-engine/datasets/tags/table) | - |---| | [### ESA WorldCereal Active Cropland 10 m v100 ![](https://developers.google.com/earth-engine/datasets/images/ESA/ESA_WorldCereal_2021_MARKERS_v100_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ESA_WorldCereal_2021_MARKERS_v100) | | The European Space Agency (ESA) WorldCereal Active Cropland 10 m 2021 product suite contains global-scale seasonal active cropland markers. They were generated as part of the ESA-WorldCereal project. The active cropland products indicate whether or not a pixel identified as temporary crops has been actively ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus) [crop](https://developers.google.com/earth-engine/datasets/tags/crop) [esa](https://developers.google.com/earth-engine/datasets/tags/esa) [global](https://developers.google.com/earth-engine/datasets/tags/global) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover) | - |---| | [### EUCROPMAP ![](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_D5_EUCROPMAP_V1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JRC_D5_EUCROPMAP_V1) | | European crop type maps based on Sentinel-1 and LUCAS Copernicus 2018 in-situ observations for 2018, and a combination of Sentinel-1, Sentinel-2, and auxiliary data with LUCAS Copernicus 2022 observations for 2022. Based on the unique LUCAS 2018 Copernicus in-situ survey, this dataset represents the first ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture) [crop](https://developers.google.com/earth-engine/datasets/tags/crop) [eu](https://developers.google.com/earth-engine/datasets/tags/eu) [jrc](https://developers.google.com/earth-engine/datasets/tags/jrc) [lucas](https://developers.google.com/earth-engine/datasets/tags/lucas) [sentinel1-derived](https://developers.google.com/earth-engine/datasets/tags/sentinel1-derived) | - |---| | [### GFSAD1000: Cropland Extent 1km Multi-Study Crop Mask, Global Food-Support Analysis Data ![](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_GFSAD1000_V1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USGS_GFSAD1000_V1) | | The GFSAD is a NASA-funded project to provide high-resolution global cropland data and their water use that contributes towards global food security in the twenty-first century. The GFSAD products are derived through multi-sensor remote sensing data (e.g., Landsat, MODIS, AVHRR), secondary data, and field-plot data ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture) [crop](https://developers.google.com/earth-engine/datasets/tags/crop) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs) | - |---| | [### GRIDMET DROUGHT: CONUS Drought Indices ![](https://developers.google.com/earth-engine/datasets/images/GRIDMET/GRIDMET_DROUGHT_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/GRIDMET_DROUGHT) | | This dataset contains drought indices derived from the 4-km daily Gridded Surface Meteorological (GRIDMET) dataset. The drought indices provided include the standardized precipitation index (SPI), the evaporative drought demand index (EDDI), the standardized precipitation evapotranspiration index (SPEI), the Palmer Drought Severity Index (PDSI) and Palmer ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate) [conus](https://developers.google.com/earth-engine/datasets/tags/conus) [crop](https://developers.google.com/earth-engine/datasets/tags/crop) [drought](https://developers.google.com/earth-engine/datasets/tags/drought) [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical) | - |---| | [### 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) | - |---| | [### 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) | - |---| | [### 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) | - |---| | [### USDA NASS Cropland Data Layers ![](https://developers.google.com/earth-engine/datasets/images/USDA/USDA_NASS_CDL_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/USDA_NASS_CDL) | | The Cropland Data Layer (CDL) is a crop-specific land cover data layer created annually for the continental United States using moderate resolution satellite imagery and extensive agricultural ground truth. The CDL is created by the USDA, National Agricultural Statistics Service (NASS), Research and Development Division, ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture) [crop](https://developers.google.com/earth-engine/datasets/tags/crop) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover) [usda](https://developers.google.com/earth-engine/datasets/tags/usda) |