- |---| | [### ALOS-2 PALSAR-2 StripMap Level 2.1 ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_ALOS_PALSAR-2_Level2_1_StripMap_202401_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_ALOS_PALSAR-2_Level2_1_StripMap_202401.md.txt) | | Starting from the night of January 1st, 2024, based on the request from Japanese ministries and related organization, JAXA implemented ALOS-2 PALSAR-2 emergency observation. Since JAXA expects these emergency observation data to be extremely useful for disaster management, JAXA decided to open these data on ... | | [alos2](https://developers.google.com/earth-engine/datasets/tags/alos2.md.txt) [eroc](https://developers.google.com/earth-engine/datasets/tags/eroc.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [palsar2](https://developers.google.com/earth-engine/datasets/tags/palsar2.md.txt) [radar](https://developers.google.com/earth-engine/datasets/tags/radar.md.txt) [sar](https://developers.google.com/earth-engine/datasets/tags/sar.md.txt) | - |---| | [### Copernicus Global In-situ Observations of Ocean Currents - Radar Radial ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_MARINE_INSITU_MULTI_4KM_RADAR_RADIAL_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_MARINE_INSITU_MULTI_4KM_RADAR_RADIAL.md.txt) | | The In Situ TAC is a distributed centre organized around 7 oceanographic regions: the global ocean and the 6 EUROGOOS regional alliances. It involves 14 partners from 11 countries in Europe. It doesn't deploy any observing system and relies on data, exclusively funded by other ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [currents](https://developers.google.com/earth-engine/datasets/tags/currents.md.txt) [insitu](https://developers.google.com/earth-engine/datasets/tags/insitu.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) [radar](https://developers.google.com/earth-engine/datasets/tags/radar.md.txt) | - |---| | [### Copernicus Global In-situ Observations of Ocean Currents - Radar Total ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_MARINE_INSITU_MULTI_4KM_RADAR_TOTAL_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_MARINE_INSITU_MULTI_4KM_RADAR_TOTAL.md.txt) | | The In Situ TAC is a distributed centre organized around 7 oceanographic regions: the global ocean and the 6 EUROGOOS regional alliances. It involves 14 partners from 11 countries in Europe. It doesn't deploy any observing system and relies on data, exclusively funded by other ... | | [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [currents](https://developers.google.com/earth-engine/datasets/tags/currents.md.txt) [insitu](https://developers.google.com/earth-engine/datasets/tags/insitu.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) [radar](https://developers.google.com/earth-engine/datasets/tags/radar.md.txt) | - |---| | [### 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.md.txt) | | 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.md.txt) [earth-big-data](https://developers.google.com/earth-engine/datasets/tags/earth-big-data.md.txt) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [polarization](https://developers.google.com/earth-engine/datasets/tags/polarization.md.txt) [radar](https://developers.google.com/earth-engine/datasets/tags/radar.md.txt) | - |---| | [### 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.md.txt) | | 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.md.txt) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [polarization](https://developers.google.com/earth-engine/datasets/tags/polarization.md.txt) [radar](https://developers.google.com/earth-engine/datasets/tags/radar.md.txt) [sar](https://developers.google.com/earth-engine/datasets/tags/sar.md.txt) | - |---| | [### 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.md.txt) | | 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.md.txt) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [polarization](https://developers.google.com/earth-engine/datasets/tags/polarization.md.txt) [radar](https://developers.google.com/earth-engine/datasets/tags/radar.md.txt) [sar](https://developers.google.com/earth-engine/datasets/tags/sar.md.txt) | - |---| | [### 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.md.txt) | | 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.md.txt) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [polarization](https://developers.google.com/earth-engine/datasets/tags/polarization.md.txt) [radar](https://developers.google.com/earth-engine/datasets/tags/radar.md.txt) [sar](https://developers.google.com/earth-engine/datasets/tags/sar.md.txt) | - |---| | [### 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.md.txt) | | 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.md.txt) [jpl](https://developers.google.com/earth-engine/datasets/tags/jpl.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [opera](https://developers.google.com/earth-engine/datasets/tags/opera.md.txt) [polarization](https://developers.google.com/earth-engine/datasets/tags/polarization.md.txt) [radar](https://developers.google.com/earth-engine/datasets/tags/radar.md.txt) | - |---| | [### PALSAR-2 ScanSAR Level 2.2 ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_ALOS_PALSAR-2_Level2_2_ScanSAR_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_ALOS_PALSAR-2_Level2_2_ScanSAR.md.txt) | | The 25 m PALSAR-2 ScanSAR is normalized backscatter data of PALSAR-2 broad area observation mode with observation width of 350 km. The SAR imagery was ortho-rectificatied and slope corrected using the ALOS World 3D - 30 m (AW3D30) Digital Surface Model. Polarization data are stored ... | | [alos2](https://developers.google.com/earth-engine/datasets/tags/alos2.md.txt) [eroc](https://developers.google.com/earth-engine/datasets/tags/eroc.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [palsar2](https://developers.google.com/earth-engine/datasets/tags/palsar2.md.txt) [radar](https://developers.google.com/earth-engine/datasets/tags/radar.md.txt) [sar](https://developers.google.com/earth-engine/datasets/tags/sar.md.txt) | - |---| | [### PARDIG LR (Long-Record) ![](https://developers.google.com/earth-engine/datasets/images/gcp-public-data-weathernext/projects_gcp-public-data-weathernext_assets_PARDIG_1_LR_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_gcp-public-data-weathernext_assets_PARDIG_1_LR.md.txt) | | PARDIG (Precipitation AI Reanalysis - Densely Inferred GPM) is an experimental dataset of global AI-driven precipitation estimates by Google DeepMind and Google Research, produced by the model described in: Global Precipitation Estimates Learned from Sparse Satellite Observations. PARDIG is produced by an AI model that ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [flood](https://developers.google.com/earth-engine/datasets/tags/flood.md.txt) [gcp-public-data-weathernext](https://developers.google.com/earth-engine/datasets/tags/gcp-public-data-weathernext.md.txt) [gpm](https://developers.google.com/earth-engine/datasets/tags/gpm.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [meteorology](https://developers.google.com/earth-engine/datasets/tags/meteorology.md.txt) | - |---| | [### PARDIG NRT (Near-Real-Time) ![](https://developers.google.com/earth-engine/datasets/images/gcp-public-data-weathernext/projects_gcp-public-data-weathernext_assets_PARDIG_1_NRT_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_gcp-public-data-weathernext_assets_PARDIG_1_NRT.md.txt) | | PARDIG (Precipitation AI Reanalysis - Densely Inferred GPM) is an experimental dataset of global AI-driven precipitation estimates by Google DeepMind and Google Research, produced by the model described in: Global Precipitation Estimates Learned from Sparse Satellite Observations. PARDIG is produced by an AI model that ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [flood](https://developers.google.com/earth-engine/datasets/tags/flood.md.txt) [gcp-public-data-weathernext](https://developers.google.com/earth-engine/datasets/tags/gcp-public-data-weathernext.md.txt) [gpm](https://developers.google.com/earth-engine/datasets/tags/gpm.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [meteorology](https://developers.google.com/earth-engine/datasets/tags/meteorology.md.txt) | - |---| | [### Sentinel-1 SAR GRD: C-band Synthetic Aperture Radar Ground Range Detected, log scaling ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_S1_GRD_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S1_GRD.md.txt) | | The Sentinel-1 mission provides data from a dual-polarization C-band Synthetic Aperture Radar (SAR) instrument at 5.405GHz (C band). This collection includes the S1 Ground Range Detected (GRD) scenes, processed using the Sentinel-1 Toolbox to generate a calibrated, ortho-corrected product. The collection is updated daily. New ... | | [backscatter](https://developers.google.com/earth-engine/datasets/tags/backscatter.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) [eu](https://developers.google.com/earth-engine/datasets/tags/eu.md.txt) [polarization](https://developers.google.com/earth-engine/datasets/tags/polarization.md.txt) [radar](https://developers.google.com/earth-engine/datasets/tags/radar.md.txt) |