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EOxCloudless Sentinel-2 10m Global Cloudless Mosaic

agriculturecloudlesscommercial dataEOXEOxCloudlessglobalmachine learningmapsmulti spectral imageryrastersatellite imagerysystematic

eoxcloudless-s2-global-mosaic-10

EOxCloudless Sentinel-2 10m Global Cloudless Mosaic is a derived product, created to provide an almost cloudfree global dataset every year. For a detailed description of the available products please refer to EOxCloudless.

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Usage examples

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Sentinel-2 L2A 120m Mosaic

agriculturemachine learningmulti spectral imageryopen datarastersatellite imagerysentinel hubsystematicxcube

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 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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Sentinel-1 GRD

dashboard hackathondisaster responseland monitoringmaritime monitoringopen datarasterSARsatellite imagerysentinel hubsystematicxcube

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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Usage examples

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2mT_2020_Monthly_Average_from_CDS

dashboard hackathonopen datarastersentinel hub

2mt_2020_monthly_average_from_cds

Gridded ERA5 is the fifth generation ECMWF reanalysis for the global climate and weather for the past 4 to 7 decades. This parameter is the 2m temperature monthly average

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ALOS-2 PALSAR-2 ScanSAR Reference Rice Paddy Field Map

dashboard hackathonJAXAopen datarasterrice paddySARsentinel hub

alos-2-palsar-2-scansar-rice-fields-map

This collection contains reference rice paddy field maps derived from ALOS-2 ScanSAR geometrically corrected (orthorectified) data in selected AOIs between 2019 and 2020 for NASA/ESA/JAXA EODashboard Hackathon.
The reference map is described in the digital code as 255: rice paddy field, 0: others.

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ALOS-2 PALSAR-2 ScanSAR for Agriculture

dashboard hackathonJAXAopen datarasterSARsentinel hub

alos-2-palsar-2-scansar-for-agriculture

This ALOS-2 ScanSAR L2.1 product contains geometrically corrected (orthorectified) data in selected AOIs between 2019 and 2020 for NASA/ESA/JAXA EODashboard Hackathon.
The PALSAR-2 aboard the ALOS-2 is a Synthetic Aperture Radar (SAR), which emits microwave and receives the reflection from the ground to acquire information. Since it does not need other sources of light such as the sun, SAR has the advantage of providing satellite images during day or night. For transmitting and receiving microwaves PALSAR-2 uses the L-band, which is less affected by clouds and rains. This all-weather observ...

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ALOS-2 PALSAR-2 Stripmap for Economy (SM1)

dashboard hackathonJAXAopen datarasterSARsentinel hub

alos-2-palsar-2-stripmap-for-economy-sm1

This ALOS-2 PALSAR-2 Strip Map (SM1 with 3m single polarization ) L2.1 product contains geometrically corrected (orthorectified) in selected AOIs between 2019 and 2020 for NASA/ESA/JAXA EODashboard Hackathon.
The PALSAR-2 aboard the ALOS-2 is a Synthetic Aperture Radar (SAR), which emits microwave and receives the reflection from the ground to acquire information. Since it does not need other sources of light such as the sun, SAR has the advantage of providing satellite images during day or night. For transmitting and receiving microwaves PALSAR-2 uses the L-band, which is less affected by ...

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ALOS-2 PALSAR-2 Stripmap for Economy (SM1, SM3)

dashboard hackathonJAXAopen datarasterSARsentinel hub

alos-2-palsar-2-stripmap-for-economy

This ALOS-2 PALSAR-2 Strip Map (SM1 with 3m single/dual polarization or SM3 with 10m dual polarization) L2.1 product contains geometrically corrected (orthorectified) in selected AOIs between 2019 and 2020 for NASA/ESA/JAXA EODashboard Hackathon.
The PALSAR-2 aboard the ALOS-2 is a Synthetic Aperture Radar (SAR), which emits microwave and receives the reflection from the ground to acquire information. Since it does not need other sources of light such as the sun, SAR has the advantage of providing satellite images during day or night. For transmitting and receiving microwaves PALSAR-2 uses ...

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Belgium - Flanders GSAA

agriculturecommercial datageoDBgsaaLandbouwgebruikspercelenMachine Learningparcelvector

belgium-flanders-gsaa

Flemish Geo-spatial Aid Application (GSAA) data is managed by the Belgium Department of Agriculture and Fisheries. It contains the parcels that are in agricultural use on the deadline for submission of the single application that year. The register also includes pounds, wood edges and agricultural production facilities (stables and similar buildings).
The inventory of these parcels takes place annually in the context of the payment of the (co-financed) European agricultural subsidies and the Flemish manure legislation. It can be used for consultation or study of the land use of agricultural p...

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CAMS_GLC_2017

dashboard hackathonopen datarastersentinel hub

cams_glc_2017

The S2GLC 2017 product represents land cover classification of a major portion of the European continent. The classification has been performed using multi-temporal Sentinel-2 data collected during the year 2017 with the methodology developed in the frame of the Sentinel-2 Global Land Cover (S2GLC) project. The S2GLC 2017 dataset is delivered with 10 m spatial resolution with thematic legend composed of 13 land cover classes

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CHL_water_quality_Saturday

dashboard hackathonopen datarastersentinel hub

chl_water_quality_saturday

Chlorophyll anomaly maps for 3 sites: Lagoon Venice, Marseille and Barcelona regions

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CO2 and CH4 (GOSAT) partial column density

air qualitydashboard hackathonJAXAopen datatime series

co2-ch4-gosat

Carbon dioxide (CO2) and methane (CH4) partial column density of lower (approximately 0 -4 km) and upper (approximately 4 -12km) troposphere (LT and UT, respectively).
Read more about GOSAT here

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CORINE Land Cover

CLMSderived dataland covermachine learningopen datarastersentinel hubsystematicxcube

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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Copernicus DEM

3DDEMelevationopen datarastersentinel hubsystematicterrainxcube

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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Denmark GSAA

agricultureCAPcommercial datageoDBgsaaland useMachine Learningmarkervector

denmark-gsaa

Danish Geo-spatial Aid Application (GSAA) data collection is managed by the Danish Agency for Agriculture. The data is made available for download on the agency’s website. Additionally, the metadata are made available and can be searched on Geodata-info.dk which is managed by the Danish Agency for Data Supply and Efficiency. This collection is comprised of agricultural fields ("Marker") which are an extract of fields notified to the Danish Agency for Agriculture from the most recent application year. A field is defined as a contiguous area on which one crop is grown. Denmark GSAA...

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Denmark LPIS

agriculturecommercial datageoDBlanduselpisMachine Learningmarkblokkevector

denmark-lpis

Danish Land Parcel Identification System (LPIS) data collection or (field blocks/ 'Markblokke') is managed by The Danish Agency for Agriculture. The data is made available for download on the agency’s website. Additionally, the metadata are made available and can be searched on Geodata-info.dk geoportal with the search term ‘Markblokke’. The field blocks are comprised of polygons representing the country's agricultural areas. The polygons are manually created by the agency annually based on most recent orthophotos. LPIS collection contains attributes for geographical area, elig...

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E12C_Motoway

dashboard hackathonopen datarastersentinel hub

e12c_motoway

This indicator is based on the detection of moving trucks on motorways in the EU. The detection uses data from the Copernicus Sentinel-2 satellite.

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E12D_Primary_corrected

dashboard hackathonopen datarastersentinel hub

e12d_primary_corrected

This indicator is based on the detection of moving trucks on motorways in the EU. The detection uses data from the Copernicus Sentinel-2 satellite.

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EEA Urban Atlas 2018

FUAgeoDBland coverland useLULCmachine learningopen dataurban atlasvector

eea-urban-altas-2018

The Urban Atlas provides harmonised very high resolution pan-European land cover and land use data generated for cities and sorroundings according to the Functional Urban Areas (FUA). The FUAs are distributed among EU, EFTA, West Balkans, UK and Turkey. Urban Atlas is available for 2006, 2012 and 2018. Urban Atlas 2018 covers 788 FUAs and is available publicly for use in geoDB database.

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ERA5-Land monthly averaged data

climatedroughtera5-landfloodforecastingon-demandopen datarasterreanalysisxcube

reanalysis-era5-land-monthly-means

The European Centre for Medium-Range Weather Forecasts (ECMWF) produces ERA5-Land dataset within the frame of Copernicus Climate Change Service. ERA5-Land is a replay of the land component of the ERA5 climate reanalysis with a finer native resolution of 9km compared to 31km in ERA5 and an improved computational efficiency. The data in the Climate Data Store (CDS) has been regridded to a regular lat-lon grid of 0.1x0.1 degrees. ERA5-Land dataset describes the evolution of the water and energy cycles over land in a consistent manner over the production period. By combining model data and observations that goes back several decades in time, reanalysis provides an accurate description of the climate of the past.
ERA5-Land monthly averaged data is a post-processed subset of the full ERA5-Land dataset representing pre-calculated monthly-mean averages to facilitate quick and easy access when sub-monthly data is not required. The temporal and ...

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France Metropolitan GSAA

agricultureCAPcommercial datageoDBgsaaMachine LearningRegistre parcellaire graphiquevector

france-metropolitan-gsaa

The Graphical Parcel Register (Registre parcellaire graphique (RPG) is a geographical database allowing the identification of agricultural parcels. Its primary purpose is to provide a spatial reference for aid applications under the Common Agricultural Policy (CAP). The anonymised version of RPG with information on the main crop on the agricultural parcel is publicly available. RGP is managed by the Service and Payment Agency (ASP) . France Metropolitan GSAA data collection is made available on geoDB on subscription basis.

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Global Land Cover

CLMSderived dataland covermachine learningopen datarastersentinel hubsystematicxcube

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 datarastersentinel hubsurface watersystematicwater bodiesxcube

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 2020 at the global scale.

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ICEYE_E11

dashboard hackathonopen datarastersentinel hub

iceye_e11

Activity for Leisure industry reduced. Images from ICEYE

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ICEYE_E11a

dashboard hackathonopen datarastersentinel hub

iceye_e11a

Activity at leisure facility (Stadium) affected by COVID

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ICEYE_E13b

dashboard hackathonopen datarastersentinel hub

iceye_e13b

ICEYE image and detection of parked airplanes

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ICEYE_E3

dashboard hackathonopen datarastersentinel hub

iceye_e3

Oil storages filling up as demand for oil decreases when people are not travelling

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JAXA's Public-health Monitor and Analysis Platform (JPMAP)

dashboard hackathonhealthJAXAopen data

jaxa-public-health-monitor-and-analysis-platform

This is in cooperation with research institutes including universities and international organizations.EORC developed a user-friendly web-based system, JAXA's (Japan Aerospace Exploration Agency) Public-health Monitor and Analysis Platform (JPMAP), which distributes satellite-derived environmental information, such as rainfall, shortwave radiation, soil moisture, normalized difference vegetation index (NDVI), aerosol optical thickness (AOT), land surface temperature (LST), and altitude. The system was designed for users to download the data and utilize it without any additional data pro...

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JAXA_wq_chla_anomaly

dashboard hackathonJAXAopen datarastersentinel hubwater quality

jaxa_wq_chla

Water quality Chlorophyll-a weekly anomaly.
It is the ratio (percentage) of weekly chlorophyll-a concentration divided by average concentration of other years for 4 sites: North Adriatic, Tokyo, Kobe and Nagoya.
Anomaly[%]=((DN-1)/254*(300-(-100))-100).
The base data is made by averaging within -1, 0, +1 weeks in 2018-2020.

File naming convention:
jx_chla_tif_XXX_yyyy_mm_dd.tif
XXX: Area name
         nas  ->  NAdriatic
         tok   ->  Tokyo 
         kob   ->  Kobe 
         nag   ->  Nagoya 
yyyy:Year
mm:Month
dd:Day

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JAXA_wq_chla_average

dashboard hackathonGCOM-CJAXAopen datarastersentinel hubwater quality

jaxa_wq_chla_average

Chlorophyll-a concentration weekly average (GCOM-C).
Weekly average chlorophyll-a concentration for 4 sites: North Adriatic, Tokyo, Kobe and Nagoya.
chl[mg/m^3]=10.^(DN/254*(log10(60)-log10(0.03))+log10(0.03))

File naming convention: jx_chla-ave_tif_XXX_yyyy_mm_dd.tif
XXX: Area name
         nas  ->  NAdriatic
         tok   ->  Tokyo 
         kob   ->  Kobe 
         nag   ->  Nagoya 
yyyy:Year
mm:Month
dd:Day

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JAXA_wq_tsm_anomaly

dashboard hackathonJAXAopen datarastersentinel hubwater quality

jaxa_wq_tsm

Ratio (percentage) of weekly total suspended matter concentration divided by average concentration of other years for 4 sites: North Adriatic, Tokyo, Kobe and Nagoya.
Anomaly[%]=((DN-1)/254*(300-(-100))-100).
The base data is made by averaging within -1, 0, +1 weeks in 2018-2020.

File naming convention: jx_tsm_tif_XXX_yyyy_mm_dd.tif
XXX: Area name
         nas  ->  NAdriatic
         tok   ->  Tokyo 
         kob   ->  Kobe 
         nag   ->  Nagoya 
yyyy:Year
mm:Month
dd:Day

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JAXA_wq_tsm_average

dashboard hackathonGCOM-CJAXAopen datarastersentinel hubwater quality

jaxa_wq_tsm_average

Total suspended matter cocentration weekly average (GCOM-C).
Weekly total suspended matter concentration for 4 sites: North Adriatic, Tokyo, Kobe and Nagoya.
TSM[g/m^3]=10.^(DN/254*(log10(50)-log10(0.01))+log10(0.01))

File naming convention: jx_tsm-ave_tif_XXX_yyyy_mm_dd.tif
XXX: Area name
         nas  ->  NAdriatic
         tok   ->  Tokyo 
         kob   ->  Kobe 
         nag   ->  Nagoya 
yyyy:Year
mm:Month
dd:Day

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Lake Water Quality 300m

CLMSlakeopen datarastersentinel-3 olcisystematictrophic state indexturbiditywaterxcube

clms-lake-water-quality

The Lake Water Quality NRT 300m product provides optical observations of global inland water bodies (nominally 4200) that are either medium and large sized lakes according to Global Lakes and Wetlands Database or most strategic for monitoring. The product consists of three water quality parameters: (1) turbidity, which is a key indicator of water clarity, quantifying the haziness of the water and acting as an indicator of underwater light availability.(2) trophic state index, an indicator of productivity of a lake in terms of phytoplankton and is used for monitoring eutrophication status of...

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Landsat - 8 L1

LULC changeLULC mappingnatural resourceopen datarastersatellite imagerysentinel hubsurface temperaturesystematicvegetation monitoringxcube

landsat-8-l1

Landsat -8 mission is the most recent satellite of the Landsat program and it carries OLI(Operational Land Imager) and TIRS(Thermal Infrared Sensor) instruments onboard. OLI acquires data in the visible, near and short wave infrared regions while TIRS acquires data in the thermal region to provide essential information for monitoring our natural resources and environment. Details →

Landsat - 8 L2

LULC changeLULC mappingnatural resourceopen datarastersatellite imagerysentinel hubsurface temperaturesystematicvegetation monitoringxcube

landsat-8-l2

Landsat -8 mission is the most recent satellite of the Landsat program and it carries OLI(Operational Land Imager) and TIRS(Thermal Infrared Sensor) instruments onboard. OLI acquires data in the visible, near and short wave infrared regions while TIRS acquires data in the thermal region to provide essential information for monitoring our natural resources and environment. Landsat 8 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 ...

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Landsat 1-5 MSS L1

LULC changeLULC mappingnatural resourceopen datarastersatellite imagerysentinel hubsystematicvegetation monitoringxcube

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

LULC changeLULC mappingnatural resourceopen datarastersatellite imagerysentinel hubsurface temperaturesystematicvegetation monitoringxcube

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

LULC changeLULC mappingnatural resourceopen datarastersatellite imagerysentinel hubsurface temperaturesystematicvegetation monitoringxcube

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

LULC changeLULC mappingnatural resourceopen datarastersatellite imagerysentinel hubsurface temperaturesystematicvegetation monitoringxcube

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

LULC changeLULC mappingnatural resourceopen datarastersatellite imagerysentinel hubsurface temperaturesystematicvegetation monitoringxcube

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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Luxembourg LPIS

agricultureCAPcommercial dataFLIKgeoDBland coverlpismachine learningparcelles agricolesvectorvineyardwine-growing

luxembourg-lpis

Luxembourg's Land Parcel Identification System (LPIS) data collection (also agricultural plots/ 'parcelles agricoles') is managed by The administration of agricultural technical services (ASTA) and made available on The Luxembourg data platform. In Luxembourg, it is referred to as plot-based parcel reference system (FLIK), an identification system for agricultural and wine-growing parcels which serves as th...

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MODIS MCD43A4.006

agriculturedisaster responsenatural resourceopen datarastersatellite imagerysentinel hubsystematicxcube

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

3DDEMelevationopen datarastersentinel hubsystematicterrainxcube

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 →

OCEANCOLOUR_ATL_CHL_L4_NRT_OBSERVATIONS_009_037

atlanticchlorophylloceancolouropen datarastersystematicxcube

oceancolour-atl-chl-l4-nrt-observations-009-037

OCEANCOLOUR_ATL_CHL_L4_NRT_OBSERVATIONS_009_037 is one of the ocean products provided by Copernicus Marine Environment Monitoring Service (CMEMS). This product is delivered as daily NRT, L4 chlorophyll-a product of 1km resolution over the Atlantic, based on the merging of the sensors SeaWiFS, MODIS, MERIS, VIIRS-SNPP&JPSS1, OLCI-S3A&S3B.
L4 products are also called cloud free products, and are generated by applying space-time interpolation methods to fill in missing data values. NRT products are operationally produced daily, one day after satellite acquisition providing the best esti...

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PlanetScope

agriculturecommercial datahigh resolution imagerymappingmulti spectral imageryrastersatellite imagerysentinel hubvegetation monitoringxcube

planetscope

PlanetScope is a satellite constellation of more than 130 satellites called Doves and is operated by Planet. Each Dove satellite is a CubeSat made of three cubic units and thus measures only 10 cm x 10 cm x 30 cm. The satellites are launched in groups, and together manage to acquire images covering the entire earth land surface atleast daily. Sentinel Hub offers a possibility to purchase, order and access PlanetScope both archive and newly acquired data which is available globally since 2016. Sentinel Hub offers access to PlantScope data in Top of the atmosphere (TOA) reflectance.

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Pleiades

commercial datadefensedisaster responsemulti spectral imageryrastersatellite imagerysentinel huburban mappingvery high resolution imageryxcube

pleiades

Pleiades is a satellite constellation providing very high-resolution optical imagery with daily revisit capability to any point on the globe and is owned by Airbus. Pleaiades constellation is composed of twin satellites Pleiades 1A and Pleiades 1B, which share the orbit with SPOT satellites, which makes it possible to combine the data from both sources. Pleiades offers both tasking capability and imagery archive of tasked acquisitions. Sentinel Hub offers a possibility to purchase, order and access Pleiades imagery archive which is available globally since 2011. Sentinel Hub provides Pleiad...

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Population_density

dashboard hackathonopen datarastersentinel hub

population_density

Gridded Population of the World v4 for year 2020

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S5P-NO2-tropno-daily-check

dashboard hackathonopen datarastersentinel hub

s5p-no2-tropno-daily-check

The data comes from the Copernicus Sentinel-5P satellite and shows the averaged nitrogen dioxide concentrations across the globe – using a 14-day moving average. Concentrations of short-lived pollutants, such as nitrogen dioxide, are indicators of changes in economic slowdowns and are comparable to changes in emissions. Using a 14 day average eliminates some effects which are caused by short term weather changes and cloud cover. The average gives an overview over the whole time period and therefore reflects trends better than shorter time periods.

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SPOT

agriculturecommercial datadisaster responsehigh resolution imagerymulti spectral imageryrastersatellite imagerysentinel hubvegetation monitoringxcube

spot

SPOT 6/7 is a satellite constellation providing high-resolution optical imagery in Panchromatic and Multispectral bands and is owned by Airbus. SPOT 6/7 is composed of two twin satellites that offer a daily revisit capability to any point on the globe. Spot offers both tasking capability and imagery archive of tasked acquisitions. Sentinel Hub offers a possibility to purchase, order and access SPOT 6/7 imagery archi...

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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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Sentinel-2 L1C

agriculturedashboard hackathondisaster responsemulti spectral imagerynatural resourceopen datarastersatellite imagerysentinel hubsystematicxcube

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

agriculturedashboard hackathondisaster responsemulti spectral imagerynatural resourceopen datarastersatellite imagerysentinel hubsystematicxcube

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 September 2016 over wider 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 aerosolsclimatedashboard hackathonmarine biologymaritime monitoringmulti spectral imageryopen dataOTCIrastersatellite imagerysentinel hubsystematicxcube

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 aerosolsclimatedashboard hackathonLSTmulti spectral imageryopen datarastersentinel hubSSTsystematicxcube

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 changedashboard hackathonforecastingN02open dataOzonerastersentinel hubsystematicxcube

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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Sweden LPIS

agriculturearable landcommercial datageoDBjordbruksblocklanduselpisMachine Learningpasturevector

sweden-lpis

Sweden's Land Parcel Identification System (LPIS) data collection (also agricultural blocks/ 'jordbruksblock') is managed by the Swedish Board of Agriculture, and also made available on the INSPIRE Geoportal. The Swedish agricultural blocks are vector data containing information on maximum eligible agricultural land according to EU definitions. The agricultural blocks are used by the Swedish Board of Agriculture to administer support to farmers, therefore the collection does not include all agricultural land in Sweden, but only the parts that a farmer has sought support for at s...

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TSMN_water_quality_Saturday

dashboard hackathonopen datarastersentinel hub

tsmn_water_quality_saturday

Total suspended matter maps for 3 sites: Lagoon Venice, Marseille and Barcelona regions

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Truck Detection

derived Dataon-demandsentinel hubsentinel-2truck detection

truck-detection

The Truck detection algorithm detects the number of moving trucks along roads using Sentinel-2 level 2A data.
The author Henrick Fisser, developed this algorithm (with the title: Truck detection – Sensing trade from space) in the context of the Euro Data Cube COVID-19 edition of Sentinel Hub’s custom script contest. The algorithm exploits the small offset between Sentinel-2 bands which causes moving objects to appear as rainbows in RGB images allowing the detection and mapping of moving trucks.
The output of the algorithm is locations (point geometries) and dates of detected trucks.
More information regarding input and output specifications can be found under Additional ...

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Water Bodies

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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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Wind_10m_u

dashboard hackathonopen datarastersentinel hub

wind_10m_u

Gridded ERA5 is the fifth generation ECMWF reanalysis for the global climate and weather for the past 4 to 7 decades. This parameter is the wind U field

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Wind_10m_v

dashboard hackathonopen datarastersentinel hub

wind_10m_v

Gridded ERA5 is the fifth generation ECMWF reanalysis for the global climate and weather for the past 4 to 7 decades. This parameter is the wind V field

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WorldView (+ GeoEye )

commercial datadefensedisaster responsehigh resolution imagerymappingmaritime monitoringmulti spectral imageryrastersentinel hubxcube

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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