- |---| | [### Dynamic Surface Water Extent from Sentinel-1 (DSWx-S1) V1 ![](https://developers.google.com/earth-engine/datasets/images/OPERA/OPERA_DSWX_L3_V1_S1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OPERA_DSWX_L3_V1_S1) | | This dataset contains Level-3 Dynamic OPERA surface water extent from Sentinel-1 (DSWX-S1). DSWx-S1 provides near-global geographical mapping of surface water extent over land at a spatial resolution of 30 meters over the Military Grid reference System (MGRS) grid system, with a temporal revisit frequency between ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa) [opera](https://developers.google.com/earth-engine/datasets/tags/opera) [sentinel1-derived](https://developers.google.com/earth-engine/datasets/tags/sentinel1-derived) [surface](https://developers.google.com/earth-engine/datasets/tags/surface) [surface-ground-water](https://developers.google.com/earth-engine/datasets/tags/surface-ground-water) | - |---| | [### 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) | - |---| | [### 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) | - |---| | [### Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter V2019 Backscatter ![](https://developers.google.com/earth-engine/datasets/images/Earth_Big_Data/Earth_Big_Data_GLOBAL_SEASONAL_S1_V2019_BACKSCATTER_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/Earth_Big_Data_GLOBAL_SEASONAL_S1_V2019_BACKSCATTER) | | This data set is the first-of-its-kind spatial representation of multi-seasonal, global C-band Synthetic Aperture Radar (SAR) interferometric repeat-pass coherence and backscatter signatures. Coverage comprises land masses and ice sheets from 82 degrees Northern to 79 degrees Southern latitudes. The data set is derived from multi-temporal ... | | [backscatter](https://developers.google.com/earth-engine/datasets/tags/backscatter) [earth-big-data](https://developers.google.com/earth-engine/datasets/tags/earth-big-data) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa) [polarization](https://developers.google.com/earth-engine/datasets/tags/polarization) [radar](https://developers.google.com/earth-engine/datasets/tags/radar) | - |---| | [### Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter V2019 Coherence ![](https://developers.google.com/earth-engine/datasets/images/Earth_Big_Data/Earth_Big_Data_GLOBAL_SEASONAL_S1_V2019_COHERENCE_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/Earth_Big_Data_GLOBAL_SEASONAL_S1_V2019_COHERENCE) | | This data set is the first-of-its-kind spatial representation of multi-seasonal, global C-band Synthetic Aperture Radar (SAR) interferometric repeat-pass coherence and backscatter signatures. Coverage comprises land masses and ice sheets from 82 degrees Northern to 79 degrees Southern latitudes. The data set is derived from multi-temporal ... | | [earth-big-data](https://developers.google.com/earth-engine/datasets/tags/earth-big-data) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa) [polarization](https://developers.google.com/earth-engine/datasets/tags/polarization) [radar](https://developers.google.com/earth-engine/datasets/tags/radar) [sar](https://developers.google.com/earth-engine/datasets/tags/sar) | - |---| | [### Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter V2019 Decay Model Parameters ![](https://developers.google.com/earth-engine/datasets/images/Earth_Big_Data/Earth_Big_Data_GLOBAL_SEASONAL_S1_V2019_DECAY_MODEL_PARAMETERS_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/Earth_Big_Data_GLOBAL_SEASONAL_S1_V2019_DECAY_MODEL_PARAMETERS) | | This data set is the first-of-its-kind spatial representation of multi-seasonal, global C-band Synthetic Aperture Radar (SAR) interferometric repeat-pass coherence and backscatter signatures. Coverage comprises land masses and ice sheets from 82 degrees Northern to 79 degrees Southern latitudes. The data set is derived from multi-temporal ... | | [earth-big-data](https://developers.google.com/earth-engine/datasets/tags/earth-big-data) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa) [polarization](https://developers.google.com/earth-engine/datasets/tags/polarization) [radar](https://developers.google.com/earth-engine/datasets/tags/radar) [sar](https://developers.google.com/earth-engine/datasets/tags/sar) | - |---| | [### Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter V2019 Incidence Layover Shadow ![](https://developers.google.com/earth-engine/datasets/images/Earth_Big_Data/Earth_Big_Data_GLOBAL_SEASONAL_S1_V2019_INCIDENCE_LAYOVER_SHADOW_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/Earth_Big_Data_GLOBAL_SEASONAL_S1_V2019_INCIDENCE_LAYOVER_SHADOW) | | This data set is the first-of-its-kind spatial representation of multi-seasonal, global C-band Synthetic Aperture Radar (SAR) interferometric repeat-pass coherence and backscatter signatures. Coverage comprises land masses and ice sheets from 82 degrees Northern to 79 degrees Southern latitudes. The data set is derived from multi-temporal ... | | [earth-big-data](https://developers.google.com/earth-engine/datasets/tags/earth-big-data) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa) [polarization](https://developers.google.com/earth-engine/datasets/tags/polarization) [radar](https://developers.google.com/earth-engine/datasets/tags/radar) [sar](https://developers.google.com/earth-engine/datasets/tags/sar) | - |---| | [### OPERA Radiometric Terrain-Corrected SAR Backscatter from Sentinel-1 Static Layers V1.0 ![](https://developers.google.com/earth-engine/datasets/images/OPERA/OPERA_RTC_L2_V1_S1_STATIC_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OPERA_RTC_L2_V1_S1_STATIC) | | This product contains static radar geometry layers associated with the OPERA Radiometric Terrain Corrected SAR Backscatter from Sentinel-1 dataset. Due to the S1 mission's narrow orbital tube, radar-geometry layers such as incidence angle, local incidence angle, number of looks, and RTC Area Normalization Factor (ANF) ... | | [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa) [opera](https://developers.google.com/earth-engine/datasets/tags/opera) [sar](https://developers.google.com/earth-engine/datasets/tags/sar) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery) [sentinel1-derived](https://developers.google.com/earth-engine/datasets/tags/sentinel1-derived) | - |---| | [### OPERA Radiometric Terrain-Corrected SAR Backscatter from Sentinel-1 V1.0 ![](https://developers.google.com/earth-engine/datasets/images/OPERA/OPERA_RTC_L2_V1_S1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OPERA_RTC_L2_V1_S1) | | This product consists of radar backscatter normalized with respect to the topography. It maps signals related to the physical properties of ground scattering objects, such as surface roughness and soil moisture and/or vegetation. The OPERA RTC-S1 product is derived from Copernicus Sentinel-1 Interferometric Wide (IW) ... | | [backscatter](https://developers.google.com/earth-engine/datasets/tags/backscatter) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa) [opera](https://developers.google.com/earth-engine/datasets/tags/opera) [polarization](https://developers.google.com/earth-engine/datasets/tags/polarization) [radar](https://developers.google.com/earth-engine/datasets/tags/radar) | - |---| | [### 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) | - |---| | [### World Settlement Footprint 2015 ![](https://developers.google.com/earth-engine/datasets/images/DLR/DLR_WSF_WSF2015_v1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/DLR_WSF_WSF2015_v1) | | The World Settlement Footprint (WSF) 2015 is a 10m resolution binary mask outlining the extent of human settlements globally derived by means of 2014-2015 multitemporal Landsat-8 and Sentinel-1 imagery (of which \~217,000 and \~107,000 scenes have been processed, respectively). The temporal dynamics of human settlements ... | | [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived) [population](https://developers.google.com/earth-engine/datasets/tags/population) [sentinel1-derived](https://developers.google.com/earth-engine/datasets/tags/sentinel1-derived) [settlement](https://developers.google.com/earth-engine/datasets/tags/settlement) [urban](https://developers.google.com/earth-engine/datasets/tags/urban) |