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Unless specifically stated in the applicable collection's documentation, collections available through the Sentinel Hub Collections are not provided and maintained by Sentinel Hub. Collections are provided and maintained by a variety of third parties under a variety of licenses. Please check collection licenses and related documentation to determine if a collection may be used for your application.

Sentinel-2 L2A 120m Mosaic

agriculturemachine learningmulti spectral imageryopen datasatellite imagerysentinel

sentinel-s2-l2a-mosaic-120

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.

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Usage examples

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10m Annual Land Use Land Cover (9-class)

derived dataland covermachine learningopen datarastersentinel hub

impact-observatory-lulc-map

The 10m Annual Land Use Land Cover (LULC) map is produced Impact Observatocy, 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.

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Analysis-Ready PlanetScope

analysis ready datacommercial dataplanetscopesandbox datasatellite imagerytime series

analysis-ready-planetscope

Analysis-Ready PlanetScope combines the monitoring benefits of daily 3 m spatial imagery, while enhancing temporal and spatial consistency with trusted, third-party data sources (Landsat, Sentinel-2, MODIS, VIIRS). This is accomplished with a proprietary algorithm that creates pre-processed, harmonized, and spatially consistent daily stacks of images that enable time-series analysis and machine learning applications. The resulting 4-band data is exceedingly radiometrically and geometrically accurate thanks to vast amounts of reference data in the Planet Archive. With deeper and more extensiv...

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CNES Land Cover Map

derived dataland covermachine learningopen datarastersentinel hubsystematic

cnes-land-cover-map

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.

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CORINE Land Cover

CLMScorinederived dataland covermachine learningopen data

corine-land-cover

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.

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CORINE Land Cover Accounting Layers

accountingCLMScorinederived dataland coveropen data

corine-land-cover-accounting-layers

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...

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Copernicus DEM

3Dcore collectionDEMelevationopen dataorthorectificationterrain

copernicus-dem

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...

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Crop Biomass

agriculturebiomasscommercial dataopen dataplanetary variablessatellite imagery

crop-biomass

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.

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ESA WorldCover

agriculturebiodiversityderived dataland coveropen dataworldcover

worldcover

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...

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Forest Carbon Diligence

carbonchange detectionforestmappingMRVsandbox dataVCMvegetation monitoring

forest-carbon-diligence

The Forest Carbon Diligence product consists of a bundle of data resources: canopy height, canopy cover, and aboveground live carbon with a spatial resolution of 30 m. These data are collected annually over the entire land mass of the Earth (between 75° N and 60° S).

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Global Human Settlement Layer - GHS-BUILT-S2

derived datamachine learningopen dataurban mapping

global-human-settlement-layer-ghs-built-s2

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.

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Global Land Cover

CLMSderived dataland covermachine learningopen data

global-land-cover

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...

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Global Surface Water

climate changederived datainland wateropen datasurface waterwater bodies

global-surface-water

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.

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Harmonized Landsat Sentinel

brightness temperaturecore collectionlandsatLULC changeLULC mappingnatural resourceopen datasatellite imagerysentinelvegetation monitoring

harmonized-landsat-sentinel

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...

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High-Resolution Snow & Ice Monitoring; Daily cumulative Gap-filled Fractional Snow Cover

CLMSderived datahrsiopen datasnow

hrsi-gfsc

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 ...

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High-Resolution Snow & Ice Monitoring; Fractional Snow Cover

CLMSderived datahrsiopen datasnow

hrsi-fsc

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...

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High-Resolution Snow & Ice Monitoring; Persistent Snow Area

CLMSderived datahrsiopen datasnow

hrsi-psa

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 ...

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High-Resolution Snow & Ice Monitoring; River and Lake Ice Extent - Sentinel 1

CLMSderived datahrsiicelakeopen datariverwater

hrsi-rlie-s1

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...

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High-Resolution Snow & Ice Monitoring; River and Lake Ice Extent - Sentinel 2

CLMSderived datahrsiicelakeopen datariverwater

hrsi-rlie-s2

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...

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High-Resolution Snow & Ice Monitoring; River and Lake Ice Extent S1+S2

CLMSderived datahrsiicelakeopen datariverwater

hrsi-rlie-s1s2

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...

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High-Resolution Snow & Ice Monitoring; SAR Wet Snow in high mountains

CLMSderived datahrsiopen datasnow

hrsi-sws

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...

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High-Resolution Snow & Ice Monitoring; Wet / Dry Snow - Snow state classification

CLMSderived datahrsiopen datasnow

hrsi-wds

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...

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Land Surface Temperature

agriculturecommercial dataplanetary variablessandbox datasatellite imagerythermal

land-surface-temperature

Planet’s Land Surface Temperature (LST) is a feed of high-resolution, globally available measurement of the skin temperature of the Earth. Combining observations from a range of satellite constellations, Land Surface Temperature is not hindered by clouds, ensuring a continuous, consistent and scientifically reliable data record of more than 20 years. Consequently, there is no requirement to uphold extensive networks of physical sensors. This Planetary Variable measures the temperature twice a day (daytime and nighttime) with a spatial resolution of 100 m and 1000 m, providing vital intelligenc...

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Landsat 1-5 MSS L1

core collectionlandsatLULC changeLULC mappingnatural resourceopen datasatellite imageryvegetation monitoring

landsat-1-5-mss-l1

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.

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Landsat 4-5 TM L1

core collectionlandsatLULC changeLULC mappingnatural resourceopen datasatellite imagerysurface temperaturevegetation monitoring

landsat-4-5-tm-l1

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.

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Landsat 4-5 TM L2

core collectionlandsatLULC changeLULC mappingnatural resourceopen datasatellite imagerysurface temperaturevegetation monitoring

landsat-4-5-tm-l2

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.

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Landsat 7 ETM+ L1

brightness temperaturecore collectionlandsatLULC changeLULC mappingnatural resourceopen datasatellite imageryvegetation monitoring

landsat-7-etm+-l1

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.

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Landsat 7 ETM+ L2

core collectionlandsatLULC changeLULC mappingnatural resourceopen datasatellite imagerysurface temperaturevegetation monitoring

landsat-7-etm+-l2

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.

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Landsat 8-9 L1

core collectionlandsatLULC changeLULC mappingnatural resourceopen datasatellite imagerysurface temperaturevegetation monitoring

landsat-8-l1

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...

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Landsat 8-9 L2

core collectionlandsatLULC changeLULC mappingnatural resourceopen datasatellite imagerysurface temperaturevegetation monitoring

landsat-8-l2

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...

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MODIS MCD43A4.006

agriculturecore collectiondisaster responsenatural resourceopen datasatellite imagery

modis

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...

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Mapzen DEM

3Dcore collectionDEMelevationopen dataorthorectificationterrain

mapzen-dem

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 →

Planet Basemaps

analysis ready datacommercial datahigh resolution imagerymappingmosaicplanetscopesandbox datasatellite imageryvegetation monitoring

planet-basemaps

Globally available mosaics at a cell size of 4.77 m (at equator) using Mercator projection. Planet Basemaps are offered at a weekly, biweekly, monthly, or quarterly cadence and provide a clear, comprehensive view of an area of interest by automating the selection of the best individual images to create a complete, seamless, and recent “mosaic” that allows you to understand change over broad areas. Planet Basemaps are also well suited for machine learning-analytics by applying cloud masking and radiometric no...

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PlanetScope

agriculturecommercial datahigh resolution imagerymappingmulti spectral imagerysandbox datasatellite imageryvegetation monitoring

planetscope

With hundreds of Dove satellites in orbit, PlanetScope Monitoring provides a medium-resolution, continuous, and complete view of the world from above, every day. PlanetScope images are approximately 3 m per pixel resolution. Sentinel Hub offers the ability to purchase, order and access both the archive data and newly acquired data available globally since 2016. Sentinel Hub provides access to PlanetScope data in Top of the atmosphere (TOA) reflectance.

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Sea Ice Index

climate changeopen data

sea-ice-index

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...

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Seasonal Trajectories, 10-daily

agricultureCLMSderived dataopen dataphenologyPlant phenology indexvegetation

seasonal-trajectories

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...

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Sentinel-1 GRD

core collectiondisaster responseland monitoringmaritime monitoringopen dataSARsatellite imagerysentinel

sentinel-1-grd

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...

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Sentinel-2 L1C

agriculturecore collectiondisaster responsemulti spectral imagerynatural resourceopen datasatellite imagerysentinel

sentinel-2-l1c

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.

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Sentinel-2 L2A

agriculturecore collectiondisaster responsemulti spectral imagerynatural resourceopen datasatellite imagerysentinel

sentinel-2-l2a

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.

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Sentinel-3 OLCI L1B

Atmospheric aerosolsClimatecore collectionMarine biologyMaritime Monitoringmulti spectral imageryopen dataOTCIsatellite imagerysentinel

sentinel-3-l1b-olci

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...

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Sentinel-3 SLSTR L1B

active firesAtmospheric aerosolsClimatecore collectionLSTmulti spectral imageryopen datasentinelSST

sentinel-3-l1b-slstr

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...

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Sentinel-5P L2

aerosolsair qualityClimate changecore collectionforecastingN02open dataOzonesentinel

sentinel-5p-l2-tropomi

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...

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SkySat

agriculturecommercial datahigh resolution imagerymappingmulti spectral imagerysandbox datasatellite imageryvegetation monitoring

skysat

Planet's extensive Skysat archive is available at 50 cm spatial resolution for images collected on or after June 30, 2020, and at 72 cm spatial resolution for images collected before June 30, 2020. The SkySat image archive dates back to 2014. The Skysat satellite constellation consists of ~20 satellites that were launched between 2013 and 2020. Because of its rapid revisit time, these data are suitable for monitoring rapid changes on the Earth's surface.

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Soil Water Content

agriculturecommercial datadroughtplanetary variablessandbox datasatellite imagery

soil-water-content

The Soil Water Content is the measure of the amount of water present in a unit volume of soil. It is typically expressed as a percentage and represents the ratio between the volume of water and the total volume of the soil. This measurement is crucial for understanding the water status of the soil and provides information on factors such as drought monitoring, soil health and hydrological processes. The Soil Water Content Planetary Variable measures the water content of the soil almost daily with a spatial resolution of 100 m and 1000 m. It is not affected by clouds and has a long and cons...

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Vegetation Indices, Daily

agricultureCLMSderived dataopen dataphenologyPlant phenology indexvegetation

vegetation-indices

Vegetation Indices (VI) product is part of the Copernicus Land Monitoring Service (CLMS), pan-European High Resolution Vegetation Phenology and Productivity (HR-VPP) 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. Theref...

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Vegetation Phenology and Productivity Parameters Season 1, Yearly

agricultureCLMSderived dataopen dataphenologyPlant phenology indexvegetation

vegetation-phenology-and-productivity-parameters-season-1

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...

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Vegetation Phenology and Productivity Parameters Season 2, Yearly

agricultureCLMSderived dataopen dataphenologyPlant phenology indexvegetation

vegetation-phenology-and-productivity-parameters-season-2

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...

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Water Bodies

climate changeCLMSderived datainland wateropen datawater bodieswater bodies occurence

water-bodies

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...

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WorldView (+ GeoEye )

commercial datadefensedisaster responsehigh resolution imagerymappingmaritime monitoringmulti spectral imagery

worldview-geoeye

Maxar Technologies offers multi-spectral, high resolution, commercial satellite imagery acquired by currently four on-orbit and three retired constellation of satellites namely WorldView, GeoEye, QuickBird and IKONOS. Sentinel Hub offers a possibility to purchase, order and access Worldview and Geoeye satellite imagery ordered through European Space Imaging. The data available for purchase through Sentinel Hub are GeoEye-1 (GE01), WorldView-2 (WV02), WorldView-3 (WV03) and WorldView-4 (WV04). WorldView-4 data available for purchase is the imagery archive acquired from November 2016 to Janua...

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