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Sentinel-2 L2A 120m Mosaic
agriculturemachine learningmulti spectral imageryopen datasatellite imagerysentinel
Sentinel-2 L2A 120m mosaic is a derived product, which contains best pixel values for 10-daily periods, modelled by removing the cloudy pixels and then performing interpolation among remaining values. As clouds can be missed and as there are some parts of the world which have lengthy cloudy periods, clouds might be remaining in some parts. The actual modelling script is available here.
Usage examples
10m Annual Land Use Land Cover (9-class)
derived dataland covermachine learningopen datarastersentinel hub
The 10m Annual Land Use Land Cover (LULC) map is produced Impact Observatory, Microsoft, and Esri collaboratively. The data collection is derived from ESA Sentinel-2 imagery at 10m resolution globaly using Impact Ovservatory's state of the art deep learning AI land classification model which is trained by billions of human-labeled image pixels. There are 9 LULC classes generated by the algorithm, including Built, Crops, Trees, Water, Rangeland, Flooded Vegetation, Snow/Ice, Bare Ground, and Clouds.
CNES Land Cover Map
derived dataland covermachine learningopen datarastersentinel hubsystematic
The CNES Land Cover Map (Occupation des Sols, OSO) produces land classification for Metropolitan France at 10 m spatial resolution based on Sentinel-2 L2A data within the Theia Land Cover CES framework. Maps for 2021, 2020, 2019, and 2018 use a 23-categories nomenclature. For earlier maps in 2017 and 2016, a fully compatible 17-classes nomenclature is employed.
CORINE Land Cover
CLMScorinederived dataland covermachine learningopen data
The CORINE Land Cover (CLC) inventory consists of 44 land cover and land use classes derived from a series of satellite missions since it was first established.
CORINE Land Cover Accounting Layers
accountingCLMScorinederived dataland coveropen data
The CORINE Land Cover (CLC) Accounting Layers are CLC status layers modified for the purpose of consistent statistical analysis in the land cover change accounting system at EEA. The modification combines CLC status and change layers in the 100m raster in order to create homogeneous quality time series of CLC / CLC-change layers for accounting purposes. The CLC inventory consists of 44 land cover and land use classes derived from a series of satellite missions since it was first established. There are altogether 5 mapping inventories implemented since 1986, producing five status layers (CLC1...
Copernicus DEM
3Dcore collectionDEMelevationopen dataorthorectificationterrain
The Copernicus DEM is a Digital Surface Model (DSM) which represents the bare-Earth surface and all above ground natural and built features. It is based on WorldDEM™ DSM that is derived from TanDEM-X and is infilled on a local basis with the following DEMs: ASTER, SRTM90, SRTM30, SRTM30plus, GMTED2010, TerraSAR-X Radargrammetric DEM, ALOS World 3D-30m. Copernicus Programme provides Copernicus DEM in 3 different instances: COP-DEM EEA-10, COP-DEM GLO-30 and COP-DEM GLO-90 where "COP-DEM GLO-90" tiles and most of the "COP-DEM GLO-30 " tiles are available worldwide with fr...
Crop Biomass
agriculturebiomasscommercial dataopen dataplanetary variablessatellite imagery
Crop Biomass provides the ability to track and respond to the highly dynamic nature of biomass in agricultural fields throughout the season. This enables better-informed decisions, input optimization, interventions, and harvest planning. This is a relative measure of biomass, so each pixel value has a value of 0 (low biomass) to 1 (high biomass). The product is provided daily and every day, the user gets a new raster with the data from the most updated direct observation from the day before.
ESA WorldCover
agriculturebiodiversityderived dataland coveropen dataworldcover
The European Space Agency (ESA) WorldCover is a global land cover map with 11 different land cover classes produced at 10m resolution based on combination of both Sentinel-1 and Sentinel-2 data. In areas where Sentinel-2 images are covered by clouds for an extended period of time, Sentinel-1 data then provides complimentary information on the structural characteristics of the observed land cover. Therefore, the combination of Sentinel-1 and Sentinel-2 data makes it possible to update the land cover map almost in real time. WorldCover Map was first produced for 2020 using v100 of the algorit...
Global Human Settlement Layer - GHS-BUILT-S2
derived datamachine learningopen dataurban mapping
The Global Human Settlement (GHS) framework produces global maps of built-up, population density and settlements to monitor human presence on Earth over time. The Global Human Settlement Layer GHS-BUILT-S2 is a global map of built-up areas (expressed as probabilities) at 10 m spatial resolution. It was derived from a Sentinel-2 global image composite for the reference year 2018 using Convolutional Neural Networks.
Global Land Cover
CLMSderived dataland covermachine learningopen data
Global Land Cover products at 100 m resolution are delivered annually by the global component of the Copernicus Land Service. The most recent collection 3 (version 3.0.1) of 100 m Land Cover products for the years 2015 - 2019 were generated from the PROBA-V 100 m and 300 m satellite observations and several other ancillary datasets with global coverage. These Land Cover products provide a main discrete land cover classification map according to UN-FAO Land Cover Classification System LCCS. Additional continuous fractional layers for all basic land cover classes which give the percentage o...
Global Surface Water
climate changederived datainland wateropen datasurface waterwater bodies
The Global Surface Water dataset was developed by the European Commission's Joint Research Centre within the framework of the Copernicus Programme. It is derived from Landsat imagery and and shows different aspects of the spatio-temporal distribution of surface water between 1984 and 2021 at the global scale.
Harmonized Landsat Sentinel
brightness temperaturecore collectionlandsatLULC changeLULC mappingnatural resourceopen datasatellite imagerysentinelvegetation monitoring
Harmonized Landsat Sentinel is a NASA initiative to produce a Virtual Constellation of surface reflectance (SR) data from the Operational Land Imager (OLI) and Multi-Spectral Instrument (MSI) aboard the Landsat 8-9 and Sentinel-2 remote sensing satellites, respectively. The combined measurement enables global observations of the land every 2–3 days. Input products are Landsat 8-9 Collection 2 Level 1 top-of-atmosphere reflectance and Sentinel-2 L1C top-of-atmosphere reflectance, which NASA radiometrically harmonizes to the maximum extent, resamples to common 30-meter resolution, and grids usin...
High-Resolution Snow & Ice Monitoring; Daily cumulative Gap-filled Fractional Snow Cover
CLMSderived datahrsiopen datasnow
The High-Resolution Snow & Ice Monitoring service (HR-S&I) is part of the Copernicus Land Monitoring Service (CLMS). The snow aspect of the service provides products measuring Snow cover (FSC, FSTOC, FSCOG, GFSC), Snow state conditions (WDS, SWS) and persistent snow area (PSA). There are also ice products that measure ice cover (RLIE) and aggregated river and lake ice extent (ARLIE).More information about the data can be found here and the snow products user manual is located here. The daily cumulative Gap-filled Fractional Snow Cover (GFSC) product is a more complete version of the ...
High-Resolution Snow & Ice Monitoring; Fractional Snow Cover
CLMSderived datahrsiopen datasnow
The High-Resolution Snow & Ice Monitoring service (HR-S&I) is part of the Copernicus Land Monitoring Service (CLMS). The snow aspect of the service provides products measuring Snow cover (FSC, FSTOC, FSCOG, GFSC), Snow state conditions (WDS, SWS) and persistent snow area (PSA). There are also ice products that measure ice cover (RLIE) and aggregated river and lake ice extent (ARLIE).More information about the data can be found here and the snow products user manual is located here. The Fractional Snow Cover (FSC) product provides the snow fraction at the Top Of Canopy (FSCTOC) and On...
High-Resolution Snow & Ice Monitoring; Persistent Snow Area
CLMSderived datahrsiopen datasnow
The High-Resolution Snow & Ice Monitoring service (HR-S&I) is part of the Copernicus Land Monitoring Service (CLMS). The snow aspect of the service provides products measuring Snow cover (FSC, FSTOC, FSCOG, GFSC), Snow state conditions (WDS, SWS) and persistent snow area (PSA). There are also ice products that measure ice cover (RLIE) and aggregated river and lake ice extent (ARLIE).More information about the data can be found here and the snow products user manual is located here. The Persistent Snow Area (PSA) product is generated annually from FSC products and provides the extent ...
High-Resolution Snow & Ice Monitoring; River and Lake Ice Extent - Sentinel 1
CLMSderived datahrsiicelakeopen datariverwater
The River and Lake Ice Extent - Sentinel 1 (RLIE S1) product is part of the Copernicus Land Monitoring Service (CLMS), pan-European High Resolution Snow and Ice Monitoring (HR-S&I) Ice product suite.The River and Lake Ice Extent (RLIE) products measure the presence of ice in rivers and lakes described by the EU-HYDRO network database, in particular the area of snow-free or snow-covered ice. The RLIE S1 product is released in near real time for the entire EEA39 zone based on the revisit time of the Sentinel 1 syntetic aperture radar constellation, and it is generated at a spatial resoluti...
High-Resolution Snow & Ice Monitoring; River and Lake Ice Extent - Sentinel 2
CLMSderived datahrsiicelakeopen datariverwater
The River and Lake Ice Extent - Sentinel 2 (RLIE S2) product is part of the Copernicus Land Monitoring Service (CLMS), pan-European High Resolution Snow and Ice Monitoring (HR-S&I) Ice product suite.The River and Lake Ice Extent (RLIE) products measure the presence of ice in rivers and lakes described by the EU-HYDRO network database, in particular the area of snow-free or snow-covered ice. The RLIE S2 product is released in near real time for the entire EEA39 zone based on the revisit time of the Sentinel 2 constellation, and it is generated at a spatial resolution of 20 m x 20 m. Beca...
High-Resolution Snow & Ice Monitoring; River and Lake Ice Extent S1+S2
CLMSderived datahrsiicelakeopen datariverwater
The River and Lake Ice Extent S1+S2 (RLIE S1+S2) product is part of the Copernicus Land Monitoring Service (CLMS), pan-European High Resolution Snow and Ice Monitoring (HR-S&I) Ice product suite.The River and Lake Ice Extent (RLIE) products measure the presence of ice in rivers and lakes described by the EU-HYDRO network database, in particular the area of snow-free or snow-covered ice. The RLIE S1+S2 product is computed from the combination of RLIE S1 and RLIE S2 products.The RLIE S2 product from a given day is gap-filled using the RLIE S1 information from the same day. Because the RLIE...
High-Resolution Snow & Ice Monitoring; SAR Wet Snow in high mountains
CLMSderived datahrsiopen datasnow
The High-Resolution Snow & Ice Monitoring service (HR-S&I) is part of the Copernicus Land Monitoring Service (CLMS). The snow aspect of the service provides products measuring Snow cover (FSC, FSTOC, FSCOG, GFSC), Snow state conditions (WDS, SWS) and persistent snow area (PSA). There are also ice products that measure ice cover (RLIE) and aggregated river and lake ice extent (ARLIE).More information about the data can be found here and the snow products user manua...
High-Resolution Snow & Ice Monitoring; Wet / Dry Snow - Snow state classification
CLMSderived datahrsiopen datasnow
The High-Resolution Snow & Ice Monitoring service (HR-S&I) is part of the Copernicus Land Monitoring Service (CLMS). The snow aspect of the service provides products measuring Snow cover (FSC, FSTOC, FSCOG, GFSC), Snow state conditions (WDS, SWS) and persistent snow area (PSA). There are also ice products that measure ice cover (RLIE) and aggregated river and lake ice extent (ARLIE).More information about the data can be found here and the snow products user manual is located here. The Wet/Dry Snow (WDS) product differentiates the snow state conditions within the snow mask defined by...
Landsat 1-5 MSS L1
core collectionlandsatLULC changeLULC mappingnatural resourceopen datasatellite imageryvegetation monitoring
The Landsat Multispectral Scanner System (MSS) sensors were carried onboard Landsats 1 to 5. It provides 4 spectral bands. See USGS EROS Archive for more information. MSS Level-1 data provides Top of Atmosphere Reflectance products for the period from July 1972 to October 1992 and from June 2012 to January 2013.
Landsat 4-5 TM L1
core collectionlandsatLULC changeLULC mappingnatural resourceopen datasatellite imagerysurface temperaturevegetation monitoring
The Landsat Thematic Mapper (TM) sensor was carried onboard Landsats 4 and 5. TM collected data in 7 spectral bands; from the blue, green, red, near-infrared, mid-infrared (2) and thermal infrared portions of the electromagnetic spectrum. Visit USGS EROS Archive - Landsat Archives - Landsat 4-5 Thematic Mapper Collection 2 Level-1 Data webpage for more information.
Landsat 4-5 TM L2
core collectionlandsatLULC changeLULC mappingnatural resourceopen datasatellite imagerysurface temperaturevegetation monitoring
The Landsat Thematic Mapper (TM) sensor was carried onboard Landsats 4 and 5. TM collected data in 7 spectral bands; from the blue, green, red, near-infrared, mid-infrared(2) and thermal infrared portions of the electromagnetic spectrum. L2 data include Surface Reflectance and Surface Temperature scene-based products. Visit USGS EROS Archive - Landsat Archives - Landsat 4-5 TM Collection 2 Level-2 Science Products for more information.
Landsat 7 ETM+ L1
brightness temperaturecore collectionlandsatLULC changeLULC mappingnatural resourceopen datasatellite imageryvegetation monitoring
The Landsat 7 Enhanced Thematic Mapper (ETM+) sensor is carried onboard Landsat 7. ETM+ provides 7 spectral bands and 1 thermal band. See USGS EROS Archive for more information. Landsat 7 Level-1 data provides Top of Atmosphere Reflectance and Top of the Atmosphere Brightness Temperature products. Level 1 data are available since April 1999. All scenes collected since May 30, 2003 have data gaps due to the Scan Line Corrector (SLC) failure.
Landsat 7 ETM+ L2
core collectionlandsatLULC changeLULC mappingnatural resourceopen datasatellite imagerysurface temperaturevegetation monitoring
The Landsat 7 Enhanced Thematic Mapper (ETM+) sensor is carried onboard Landsat 7. ETM+ provides 7 spectral bands and 1 thermal band. See USGS EROS Archive for more information. Landsat 7 level-2 data provides atmospherically corrected Surface Reflectance and Surface Brightness Temperature products. Level-2 data are available since April 1999.
Landsat 8-9 L1
core collectionlandsatLULC changeLULC mappingnatural resourceopen datasatellite imagerysurface temperaturevegetation monitoring
Landsat 8-9 Level 1 collection includes both Landsat 8 and the most recently launched Landsat 9 satellites (provided by NASA/USGS), both carrying the Operational Land Imager (OLI) and the Thermal Infrared Sensor (TIRS) instruments, with 9 optical and 2 thermal bands. These two sensors provide seasonal coverage of the global landmass. Landsat 8-9 Level 1 data from the most recently released collection 2, provides Top of Atmosphere Reflectance and Top of the Atmosphere Brightness Temperature products. Level 1 data are available since February 2013 for Landsat 8 and since January 2022 for La...
Landsat 8-9 L2
core collectionlandsatLULC changeLULC mappingnatural resourceopen datasatellite imagerysurface temperaturevegetation monitoring
Landsat 8-9 Level 2 collection includes both Landsat 8 and the most recently launched Landsat 9 satellites (provided by NASA/USGS), both carrying the Operational Land Imager (OLI) and the Thermal Infrared Sensor (TIRS) instruments, with 9 optical and 2 thermal bands. These two sensors provide seasonal coverage of the global landmass. Landsat 8-9 Level 2 data from the most recently released collection 2, provides atmospherically corrected Surface Reflectance and Surface Brightness Temperature products generated from Collection 2 Level-1 scenes that have been processed to Tier 1 or Tier 2. C...
MODIS MCD43A4.006
agriculturecore collectiondisaster responsenatural resourceopen datasatellite imagery
MODIS (Moderate Resolution Imaging Spectroradiometer) is the main instrument operating on both NASA's Terra and Aqua satellites. It acquires images of the earth in 36 bands within the visible and the infrared regions of the spectrum at low to medium spatial resolutions. MODIS is designed to provide atleast daily observations of land, oceans and lower atmosphere that contribute to local or global scale land or water applications. There are several products derived from MODIS which include land, atmosphere, cryospehere and ocean products. MCD43A4 Nadir BRDF-Adjusted Reflectance (NBAR) produ...
Mapzen DEM
3Dcore collectionDEMelevationopen dataorthorectificationterrain
Mapzen DEM is based on Mapzen's terrain tiles that provide global DEM and bathymetry data. Mapzen terrain tiles is a composite of elevation data of varying resolutions from multiple open data sources including Details →
Sea Ice Index
climate changeopen data
Sea Ice Index products offer information about ice cover and its trends in the Arctic and Antarctica. In this collection, sea ice extent and concentration maps are provided at a resolution of 25 km on a daily basis. The products are computed using images from the Special Sensor Microwave Imager (SSM/I) and Special Sensor Microwave Imager/Sounder (SSMIS) instruments on Defense Meteorological Satellite Program (DMSP) satellites. Sea ice concentrations are generated from brightness temperature data. Sea ice extent is computed as areas covered by ice with a concentration greater than 15 p...
Seasonal Trajectories, 10-daily
agricultureCLMSderived dataopen dataphenologyPlant phenology indexvegetation
Seasonal Trajectories (ST) product is a filtered time series of Plant Phenology Index (PPI) provided yearly on a 10-daily basis at 10m resolution . It is part of the Copernicus Land Monitoring Service (CLMS), pan-European High Resolution Vegetation Phenology and Productivity (HR-VPP) product suite. The Seasonal Trajectories PPI is derived through fitting a smoothing and gap filling function to the yearly time-series raw PPI values generated from Sentinel-2 satellite observations. In addition to the PPI band, a QFLAG band indicating the quality of the smoothing process is included. The Sea...
Sentinel-1 GRD
core collectiondisaster responseland monitoringmaritime monitoringopen dataSARsatellite imagerysentinel
The Sentinel - 1 radar imaging mission is composed of a constellation of two polar-orbiting satellites providing continous all-weather, day and night imagery for Land and Maritime Monitoring. C-band synthentic aperture radar imaging has the advantage of operating at wavelenghts that are not obstructed by clouds or lack of illumination and therefore can acquire data during day or night under all weather conditions. With 6 days repeat cycle on the entire world and daily acquistions of sea ice zones and Europe's major shipping routes, Sentinel-1 ensures reliable data availability to support...
Sentinel-2 L1C
agriculturecore collectiondisaster responsemulti spectral imagerynatural resourceopen datasatellite imagerysentinel
The Sentinel-2 mission is a land monitoring constellation of two satellites that provide high resolution optical imagery and provide continuity for the current SPOT and Landsat missions. The mission provides a global coverage of the Earth's land surface every 5 days, making the data of great use in on-going studies. L1C data are available from June 2015 globally. L1C data provide Top of the atmosphere (TOA) reflectance.
Sentinel-2 L2A
agriculturecore collectiondisaster responsemulti spectral imagerynatural resourceopen datasatellite imagerysentinel
The Sentinel-2 mission is a land monitoring constellation of two satellites that provide high resolution optical imagery and provide continuity for the current SPOT and Landsat missions. The mission provides a global coverage of the Earth's land surface every 5 days, making the data of great use in on-going studies. L2A data are available from November 2016 over Europe region and globally since January 2017. L2A data provide Bottom of the atmosphere (BOA) reflectance.
Sentinel-3 OLCI L1B
Atmospheric aerosolsClimatecore collectionMarine biologyMaritime Monitoringmulti spectral imageryopen dataOTCIsatellite imagerysentinel
The Sentinel -3 is composed of three versatile satellites designed to provide data continuity for the ERS, ENVISAT and SPOT satellites and to support operational land and ocean observataion services. Sentinel -3 satellites make use of four main instruments on board; OLCI, SLSTR, SRAL and MWR, to measure sea surface topography, sea and land surface temperature and ocean and land surface color. The medium resolution OLCI(Ocean and Land Colour Instrument) is the successor to ENVISAT's MERIS instrument. Since its launch in 2016, OLCI acquires data of the entire globe atleast every 2 days, i...
Sentinel-3 SLSTR L1B
active firesAtmospheric aerosolsClimatecore collectionLSTmulti spectral imageryopen datasentinelSST
The Sentinel -3 is composed of three versatile satellites designed to provide data continuity for the ERS, ENVISAT and SPOT satellites and to support operational land and ocean observation services. Sentinel -3 satellites make use of four main instruments on board; OLCI, SLSTR, SRAL and MWR, to measure sea surface topography, sea and land surface temperature and ocean and land surface color. The SLSTR (Sea and Land Surface Temperature Radiometer ) continues the timeline of Sea Surface Temperature measurements from the ATSR instrument series. The principal objective of SLSTR products is to p...
Sentinel-5P L2
aerosolsair qualityClimate changecore collectionforecastingN02open dataOzonesentinel
The Copernicus Sentinel-5 Precursor mission dedicated to monitoring our atmosphere, consists of one satellite carrying the TROPOspheric Monitoring Instrument (TROPOMI) instrument. Sentinel-5 Precursor mission aims to fill in global atmospheric data gap between the retired ENVISAT and AURA missions and the future Sentinel -5 mission.The main objective of TROPOMI is provide daily global observations of key atmospheric constituents related to air quality, ozone layer and climate change monitoring and forecasting. Level 2 data provide total columns of ozone, sulfur dioxide, nitrogen dioxide, ca...
Vegetation Indices, Daily
agricultureCLMSderived dataopen dataphenologyPlant phenology indexvegetation
Vegetation Indices (VI) product is part of the Copernicus Land Monitoring Service (CLMS), pan-European High Resolution Vegetation Phenology and Productivity HRVPP product suite. The product is comprised of 4 raw Vegetation Indices; (1) Normalized Difference Vegetation Index (NDVI), (2) Leaf Area Index (LAI), (3) Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) and (4) Plant Phenology Index (PPI) generated near real-time (NRT) from Sentinel-2 satellite observations. The raw Vegetation Indices are provided on a daily basis at 10m resolution from October 2016 onwards. Therefore...
Vegetation Phenology and Productivity Parameters Season 1, Yearly
agricultureCLMSderived dataopen dataphenologyPlant phenology indexvegetation
Vegetation Phenology and Productivity Parameters (VPP) product is part of the Copernicus Land Monitoring Service (CLMS), pan-European High Resolution Vegetation Phenology and Productivity (HR-VPP) product suite. The VPP product is comprised of 13 parameters that describe specific stages of the seasonal vegetation growth cycle. These parameters are extracted from Seasonal Trajectories of the Plant Phenology Index (PPI) derived from Sentinel-2 satellite observations at 10m resolution. Since growing seasons can traverse years, VPP parameters are provided for a maximum of two growing seasons p...
Vegetation Phenology and Productivity Parameters Season 2, Yearly
agricultureCLMSderived dataopen dataphenologyPlant phenology indexvegetation
Vegetation Phenology and Productivity Parameters (VPP) product is part of the Copernicus Land Monitoring Service (CLMS),
pan-European High Resolution Vegetation Phenology and Productivity (HR-VPP) product suite.
The VPP product is comprised of 13 parameters that describe specific stages of the seasonal vegetation growth cycle.
These parameters are extracted from Seasonal Trajectories of the Plant Phenology Index (PPI)
derived from Sentinel-2 satellite observations at 10m resolution. Since growing seasons can traverse years, VPP parameters are provided for a maximum of two growing seasons per year.
The parameters include (1) start of season (date, PPI value and slope), (2) end of season (date, PPI value and slope), (3)length of season, (4) minimum of season,
(4) peak of the season (date and PPI value), (5) amplitude, (6) small integrated value and (7) large integrated value.
VPP parameters are generated over the EEA39 region on a yearly frequency from January 1 2017 onwards.
Among other applications, the high-resolution phenology data has a high p...
Water Bodies
climate changeCLMSderived datainland wateropen datawater bodieswater bodies occurence
The Global Water Bodies product shows the surface extent covered by inland water on permanent, seasonal or occasional basis. The product available here is the Water Bodies 100m Version 1 collection which is derived from Sentinel-2 level 1C data, starting from October 2020 after the end of the PROBA-V mission and is delivered as a monthly composite product at 100m resolution.The Water Bodies product contain one main Water Bodies detection layer (WB) and one Quality layer (QUAL) that provides information on the seasonal dynamics of the detected water bodies. Water Bodies detection layer (WB) sho...