- |---| | [### Allen Coral Atlas (ACA) - Geomorphic Zonation and Benthic Habitat - v2.0 ![](https://developers.google.com/earth-engine/datasets/images/ACA/ACA_reef_habitat_v2_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ACA_reef_habitat_v2_0) | | The Allen Coral Atlas dataset maps the geomorphic zonation and benthic habitat for the world's shallow coral reefs at 5 m pixel resolution. Also included is a global reef extent product that maps additional reef areas unable to be explicitly included in the geomorphic and ... | | [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans) [sentinel2-derived](https://developers.google.com/earth-engine/datasets/tags/sentinel2-derived) | - |---| | [### Cloud Score+ S2_HARMONIZED V1 ![](https://developers.google.com/earth-engine/datasets/images/GOOGLE/GOOGLE_CLOUD_SCORE_PLUS_V1_S2_HARMONIZED_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_CLOUD_SCORE_PLUS_V1_S2_HARMONIZED) | | Cloud Score+ is a quality assessment (QA) processor for medium-to-high resolution optical satellite imagery. The Cloud Score+ S2_HARMONIZED dataset is being operationally produced from the harmonized Sentinel-2 L1C collection, and Cloud Score+ outputs can be used to identify relatively clear pixels and effectively remove clouds ... | | [cloud](https://developers.google.com/earth-engine/datasets/tags/cloud) [google](https://developers.google.com/earth-engine/datasets/tags/google) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery) [sentinel2-derived](https://developers.google.com/earth-engine/datasets/tags/sentinel2-derived) | - |---| | [### Dynamic Surface Water Extent from Harmonized Landsat Sentinel-2 (DSWx-HLS) V1 ![](https://developers.google.com/earth-engine/datasets/images/OPERA/OPERA_DSWX_L3_V1_HLS_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OPERA_DSWX_L3_V1_HLS) | | This dataset contains Level-3 Dynamic OPERA surface water extent product version 1. The data are validated surface water extent observations beginning April 2023. Known issues and caveats on usage are described in the product documentation. The input dataset for generating each product is the Harmonized ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa) [opera](https://developers.google.com/earth-engine/datasets/tags/opera) [sentinel2-derived](https://developers.google.com/earth-engine/datasets/tags/sentinel2-derived) [surface](https://developers.google.com/earth-engine/datasets/tags/surface) | - |---| | [### Dynamic World V1 ![](https://developers.google.com/earth-engine/datasets/images/GOOGLE/GOOGLE_DYNAMICWORLD_V1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_DYNAMICWORLD_V1) | | Dynamic World is a 10m near-real-time (NRT) Land Use/Land Cover (LULC) dataset that includes class probabilities and label information for nine classes. Dynamic World predictions are available for the Sentinel-2 L1C collection from 2015-06-27 to present. The revisit frequency of Sentinel-2 is between 2-5 days ... | | [global](https://developers.google.com/earth-engine/datasets/tags/global) [google](https://developers.google.com/earth-engine/datasets/tags/google) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover) [landuse](https://developers.google.com/earth-engine/datasets/tags/landuse) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover) [nrt](https://developers.google.com/earth-engine/datasets/tags/nrt) | - |---| | [### 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 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) | - |---| | [### ESA WorldCover 10m v100 ![](https://developers.google.com/earth-engine/datasets/images/ESA/ESA_WorldCover_v100_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ESA_WorldCover_v100) | | The European Space Agency (ESA) WorldCover 10 m 2020 product provides a global land cover map for 2020 at 10 m resolution based on Sentinel-1 and Sentinel-2 data. The WorldCover product comes with 11 land cover classes and has been generated in the framework of ... | | [esa](https://developers.google.com/earth-engine/datasets/tags/esa) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover) [landuse](https://developers.google.com/earth-engine/datasets/tags/landuse) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover) [sentinel1-derived](https://developers.google.com/earth-engine/datasets/tags/sentinel1-derived) [sentinel2-derived](https://developers.google.com/earth-engine/datasets/tags/sentinel2-derived) | - |---| | [### ESA WorldCover 10m v200 ![](https://developers.google.com/earth-engine/datasets/images/ESA/ESA_WorldCover_v200_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ESA_WorldCover_v200) | | The European Space Agency (ESA) WorldCover 10 m 2021 product provides a global land cover map for 2021 at 10 m resolution based on Sentinel-1 and Sentinel-2 data. The WorldCover product comes with 11 land cover classes and has been generated in the framework of ... | | [esa](https://developers.google.com/earth-engine/datasets/tags/esa) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover) [landuse](https://developers.google.com/earth-engine/datasets/tags/landuse) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover) [sentinel1-derived](https://developers.google.com/earth-engine/datasets/tags/sentinel1-derived) [sentinel2-derived](https://developers.google.com/earth-engine/datasets/tags/sentinel2-derived) | - |---| | [### Earth Timelapse v0 ![](https://developers.google.com/earth-engine/datasets/images/ee-earth-timelapse/projects_ee-earth-timelapse_assets_annual_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_ee-earth-timelapse_assets_annual) | | The Earth Timelapse dataset provides a four-decade visual record of planetary change spanning from 1984 to 2022. Synthesized by Google from petabytes of spaceborne observations acquired by NASA/USGS Landsat missions (Landsat 4, 5, 7, 8, and 9) and ESA's Copernicus Sentinel-2 constellation, the dataset is ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus) [global](https://developers.google.com/earth-engine/datasets/tags/global) [google](https://developers.google.com/earth-engine/datasets/tags/google) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery) | - |---| | [### GHSL: Global building height 2018 (P2023A) ![](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_GHSL_P2023A_GHS_BUILT_H_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_H) | | This spatial raster dataset depicts the global distribution of building heights at a resolution of 100 m, referred to the year 2018. The input data used to predict building heights are the ALOS Global Digital Surface Model (30 m), the NASA Shuttle Radar Topographic Mission ... | | [alos](https://developers.google.com/earth-engine/datasets/tags/alos) [building](https://developers.google.com/earth-engine/datasets/tags/building) [built](https://developers.google.com/earth-engine/datasets/tags/built) [built-environment](https://developers.google.com/earth-engine/datasets/tags/built-environment) [builtup](https://developers.google.com/earth-engine/datasets/tags/builtup) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus) | - |---| | [### GHSL: Global building volume 1975-2030 (P2023A) ![](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_GHSL_P2023A_GHS_BUILT_V_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_V) | | This raster dataset depicts the global distribution of building volume, expressed in cubic metres per 100 m grid cell. The dataset measures the total building volume and the building volume allocated to grid cells of predominant non-residential (NRES) use. Estimates are based on the built-up ... | | [alos](https://developers.google.com/earth-engine/datasets/tags/alos) [building](https://developers.google.com/earth-engine/datasets/tags/building) [built-environment](https://developers.google.com/earth-engine/datasets/tags/built-environment) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus) [dem](https://developers.google.com/earth-engine/datasets/tags/dem) [ghsl](https://developers.google.com/earth-engine/datasets/tags/ghsl) | - |---| | [### GHSL: Global built-up surface 10m (P2023A) ![](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_GHSL_P2023A_GHS_BUILT_S_10m_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_S_10m) | | This raster dataset depicts the distribution of built-up surfaces, expressed in square metres per 10 m grid cell, for 2018 as observed from the S2 image data. The datasets measure: a) the total built-up surface, and b) the built-up surface allocated to grid cells of ... | | [built](https://developers.google.com/earth-engine/datasets/tags/built) [built-environment](https://developers.google.com/earth-engine/datasets/tags/built-environment) [builtup](https://developers.google.com/earth-engine/datasets/tags/builtup) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus) [ghsl](https://developers.google.com/earth-engine/datasets/tags/ghsl) [jrc](https://developers.google.com/earth-engine/datasets/tags/jrc) | - |---| | [### GHSL: Global built-up surface 1975-2030 (P2023A) ![](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_GHSL_P2023A_GHS_BUILT_S_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_S) | | This raster dataset depicts the distribution of built-up surfaces, expressed in square metres per 100 m grid cell. The dataset measures: a) the total built-up surface, and b) the built-up surface allocated to grid cells of predominant non-residential (NRES) use. Data are spatially-temporally interpolated or ... | | [built](https://developers.google.com/earth-engine/datasets/tags/built) [built-environment](https://developers.google.com/earth-engine/datasets/tags/built-environment) [builtup](https://developers.google.com/earth-engine/datasets/tags/builtup) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus) [ghsl](https://developers.google.com/earth-engine/datasets/tags/ghsl) [jrc](https://developers.google.com/earth-engine/datasets/tags/jrc) | - |---| | [### GHSL: Global settlement characteristics (10 m) 2018 (P2023A) ![](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_GHSL_P2023A_GHS_BUILT_C_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_C) | | This spatial raster dataset delineates human settlements at 10 m resolution, and describes their inner characteristics in terms of the functional and height-related components of the built environment. More information about the GHSL data products can be found in the GHSL Data Package 2023 report ... | | [building](https://developers.google.com/earth-engine/datasets/tags/building) [built](https://developers.google.com/earth-engine/datasets/tags/built) [builtup](https://developers.google.com/earth-engine/datasets/tags/builtup) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus) [ghsl](https://developers.google.com/earth-engine/datasets/tags/ghsl) [height](https://developers.google.com/earth-engine/datasets/tags/height) | - |---| | [### OPERA Land Surface Disturbance Annual from Harmonized Landsat Sentinel-2 (DIST-ANN-HLS) V1 ![](https://developers.google.com/earth-engine/datasets/images/OPERA/OPERA_DIST_L3_DIST-ANN-HLS_V1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OPERA_DIST_L3_DIST-ANN-HLS_V1) | | The Observational Products for End-Users from Remote Sensing Analysis (OPERA) Land Surface Disturbance Annual from Harmonized Landsat Sentinel-2 (DIST-ANN-HLS) product Version 1 summarizes the DIST-ALERT data product into an annual vegetation disturbance data product. The DIST-ANN-HLS product provides annual metrics and classifications of vegetation disturbance ... | | [disturbance](https://developers.google.com/earth-engine/datasets/tags/disturbance) [forest](https://developers.google.com/earth-engine/datasets/tags/forest) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa) | - |---| | [### Satellite Embedding V1 ![](https://developers.google.com/earth-engine/datasets/images/GOOGLE/GOOGLE_SATELLITE_EMBEDDING_V1_ANNUAL_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_SATELLITE_EMBEDDING_V1_ANNUAL) | | The Google Satellite Embedding dataset is a global, analysis-ready collection of learned geospatial embeddings. Each 10-meter pixel in this dataset is a 64-dimensional representation, or "embedding vector," that encodes temporal trajectories of surface conditions at and around that pixel as measured by various Earth observation ... | | [annual](https://developers.google.com/earth-engine/datasets/tags/annual) [global](https://developers.google.com/earth-engine/datasets/tags/global) [google](https://developers.google.com/earth-engine/datasets/tags/google) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery) [sentinel1-derived](https://developers.google.com/earth-engine/datasets/tags/sentinel1-derived) |