Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
Rutherford Appleton Laboratory, Harwell
United Kingdom
CEDA
Data are in NetCDF format. The file provides components of the ice velocity and includes all measurements and annotations.
This dataset contains optical ice velocity time series and seasonal product of the Jakobshavn Glacier in Greenland, derived from intensity-tracking of Sentinel-2 data acquired between 2017-06-03 and 2017-09-08. It has been produced as part of the ESA Greenland Ice sheet CCI project. The data are provided on a polar stereographic grid (EPSG 3413:Latitude of true scale 70N, Reference Longitude 45E) with 50m grid spacing. The horizontal velocity is provided in true meters per day, towards EASTING (x) and NORTHING (y) direction of the grid.The data have been produced by S[&]T Norway.
ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Optical ice velocity of the Jakobshavn Glacier between 2017-06-03 and 2017-09-08, generated using Sentinel-2 data, v1.1
Under the following licence appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data were produced by S[&]T Norway as part of the ESA CCI Greenland Ice Sheet project and supplied to CEDA in the context of the ESA CCI Open Data Portal Project.
EARTH SCIENCE>CRYOSPHERE>GLACIERS/ICE SHEETS>ICE SHEETS
Sentinel-2 MSI
ice sheets
MSI (Sentinel-2)
MSI
Public data: access to these data is available to both registered and non-registered users.
Greenland
Ice sheet
CCI
ESA
orthoimagery
ESA/CCI

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
Rutherford Appleton Laboratory, Harwell
United Kingdom
CEDA
Data are in NetCDF format. The file provides components of the ice velocity and includes all measurements and annotations.
This dataset contains optical ice velocity time series and seasonal product of the Hagen Glacier in Greenland, derived from intensity-tracking of Sentinel-2 data acquired between 2017-06-30 and 2017-08-14. It has been produced as part of the ESA Greenland Ice sheet CCI project. The data are provided on a polar stereographic grid (EPSG 3413:Latitude of true scale 70N, Reference Longitude 45E) with 50m grid spacing. The horizontal velocity is provided in true meters per day, towards EASTING (x) and NORTHING (y) direction of the grid.The data have been produced by S[&]T Norway.
ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Optical ice velocity of the Hagen Glacier between 2017-06-30 and 2017-08-14, generated using Sentinel-2 data, v1.1
Under the following licence appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data were produced by S[&]T Norway as part of the ESA CCI Greenland Ice Sheet project and were supplied to CEDA in the context of the ESA CCI Open Data Portal Project.
EARTH SCIENCE>CRYOSPHERE>GLACIERS/ICE SHEETS>ICE SHEETS
Sentinel-2 MSI
ice sheets
MSI (Sentinel-2)
MSI
Public data: access to these data is available to both registered and non-registered users.
Greenland
Ice sheet
CCI
ESA
orthoimagery
ESA/CCI

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
RAL Space, STFC Rutherford Appleton Laboratory, Harwell Campus
United Kingdom
CEDA
This dataset contains permafrost active layer thickness data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the second version of their Climate Research Data Package (CRDP v4). It is derived from a thermal model driven and constrained by satellite data. Grid products of CDRP v4 are released in annual files, covering the start to the end of the Julian year. The maximum depth of seasonal thaw is provided, which corresponds to the active layer thickness. Case A: It covers the Northern Hemisphere (north of 30Â°N) for the period 2003-2023 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data.e.g. B: It covers the Northern Hemisphere (north of 30Â°N) for the period 1997-2002 based on downscaled ERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for the overlap period 2003-2023 using a pixel-specific statistics for each day of the year.e.g.
ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost active layer thickness for the Northern Hemisphere, v5.0
Under the following licence appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data have been produced by the ESA CCI Permafrost project as part of ESA's Climate Change Initiative programme
EARTH SCIENCE>AGRICULTURE>SOILS
EARTH SCIENCE>LAND SURFACE>FROZEN GROUND>PERMAFROST
EARTH SCIENCE>BIOSPHERE>VEGETATION
EARTH SCIENCE>AGRICULTURE>SOILS>PERMAFROST
Aqua
ENVISAT
Terra
C-SAR
MERIS
MODIS
Sentinel-2 MSI
Envisat
Level 4
permafrost
VEGETATION
PROBA-V
SAR-C (Sentinel-1)
MSI (Sentinel-2)
AQUA
TERRA
MSI
Public data: access to these data is available to both registered and non-registered users.
Permafrost
CCI
Active layer thickness
orthoimagery
Unavailable

Rutherford Appleton Laboratory, Harwell
Data are in NetCDF format. The file provides components of the ice velocity and includes all measurements and annotations.
This dataset contains optical ice velocity time series and seasonal product of the Helheim Glacier in Greenland, derived from intensity-tracking of Sentinel-2 data acquired between 2017-05-01 and 2017-08-29. It has been produced as part of the ESA Greenland Ice sheet CCI project. The data are provided on a polar stereographic grid (EPSG 3413:Latitude of true scale 70N, Reference Longitude 45E) with 50m grid spacing. The horizontal velocity is provided in true meters per day, towards EASTING (x) and NORTHING (y) direction of the grid.The data have been produced by S[&]T Norway.
ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Optical ice velocity of the Helheim Glacier between 2017-05-01 and 2017-08-29, generated using Sentinel-2 data, v1.1
Data were produced by S[&]T Norway as part of the ESA CCI Greenland Ice Sheet project and were supplied to CEDA in the context of the ESA CCI Open Data Portal Project.
EARTH SCIENCE>CRYOSPHERE>GLACIERS/ICE SHEETS>ICE SHEETS
ice sheets
Greenland
Ice sheet
ESA
ESA/CCI

COMMISSION REGULATION (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
not tested
Sinergise
Geoscientific Information
Sentinel-2 products stored in the catalog provided by SINERGISE SENTINEL Hub . 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 10 days with one satellite and 5 days with 2 satellites, making the data of great use in on-going studies. The satellites are equipped with the state-of-the-art MSI (Multispectral Imager) instrument, that offers high-resolution optical imagery.
Sentinel2 Collection (SENTINEL Hub)
See https://www.sentinel-hub.com/tos/
Sentinel-2 is a multispectral operational imaging mission within the GMES (Global Monitoring for Environment and Security) program, jointly implemented by the EC (European Commission) and ESA (European Space Agency) for global land observation (data on vegetation, soil and water cover for land, inland waterways and coastal areas, and also provide atmospheric absorption and distortion data corrections) at high resolution with high revisit capability to provide enhanced continuity of data so far provided by SPOT-5 and Landsat-7.
land
land cover
chlorophyll
natural disaster
EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER
EARTH SCIENCE > HUMAN DIMENSIONS > NATURAL HAZARDS
FedEO
SINERGISE
SENTINEL HUB
Cvetkova ulica 29
Slovenia

RAL Space, STFC Rutherford Appleton Laboratory, Harwell Campus
This dataset contains the Lakes Essential Climate Variable, which is comprised of processed satellite observations at the global scale, over the period 1992-2022, for over 2000 inland water bodies. This dataset was produced by the European Space Agency (ESA) Lakes Climate Change Initiative (Lakes_cci) project. For more information about the Lakes_cci please visit the project website. This is version 2.1.0 of the dataset.The six thematic climate variables included in this dataset are:â¢ Lake Water Level (LWL), derived from satellite altimetry, is fundamental to understand the balance between water inputs and water loss and their connection with regional and global climate change.â¢ Lake Water Extent (LWE), modelled from the relation between LWL and high-resolution spatial extent observed at set time-points, describes the areal extent of the water body. This allows the observation of drought in arid environments, expansion in high Asia, or impact of large-scale atmospheric oscillations on lakes in tropical regions for example. .â¢ Lake Surface Water temperature (LSWT), derived from optical and thermal satellite observations, is correlated with regional air temperatures and is informative about vertical mixing regimes, driving biogeochemical cycling and seasonality.â¢ Lake Ice Cover (LIC), determined from optical observations, describes the freeze-up in autumn and break-up of ice in spring, which are proxies for gradually changing climate patterns and seasonality.â¢ Lake Water-Leaving Reflectance (LWLR), derived from optical satellite observations, is a direct indicator of biogeochemical processes and habitats in the visible part of the water column (e.g. seasonal phytoplankton biomass fluctuations), and an indicator of the frequency of extreme events (peak terrestrial run-off, changing mixing conditions).â¢ Lake Ice Thickness (LIT), containing LIT information over Great Slave lake from 2002-2022.Data generated in the Lakes_cci are derived from multiple satellite sensors including: TOPEX/Poseidon, Jason, ENVISAT, SARAL, Sentinel 2-3, Landsat 4, 5, 7 and 8, ERS-1, ERS-2, Terra/Aqua and Metop-A/B.Satellite sensors associated with the thematic climate variables are as follows:LWL: TOPEX/Poseidon, Jason-1, Jason-2, Jason-3, Sentinel-6A, Envisat RA/RA-2, SARAL AltiKa, GFO, Sentinel-3A SRAL, Sentinel-3B SRAL, ERS-1 RA, ERS-2; LWE: Landsat 4 TM, 5 TM, 7 ETM+, 8 OLI, Sentinel-1 C-band SAR, Sentinel-2 MSI, Sentinel-3A SRAL, Sentinel-3B SRAL, ERS-1 AMI, ERS-2 AMI;LSWT: Envisat AATSR, Terra/Aqua MODIS, Sentinel-3A ATTSR-2, Sentinel-3B, ERS-2 AVHRR, Metop-A/B; LIC: Terra/Aqua MODIS; LWLR: Envisat MERIS, Sentinel-3A OLCI A/B, Aqua MODIS;LIT: Jason1, Jason2, Jason3, POSEIDON-2, POSEIDON-3 and POSEIDON-3B.Detailed information about the generation and validation of this dataset is available from the Lakes_cci documentation available on the project website and in Carrea, L., CrÃ©taux, JF., Liu, X. et al. Satellite-derived multivariate world-wide lake physical variable timeseries for climate studies. Sci Data 10, 30 (2023). https://doi.org/10.1038/s41597-022-01889-z
ESA Lakes Climate Change Initiative (Lakes_cci): Lake products, Version 2.1
This dataset was generated in the framework of the Lakes CCI+ project, funded by ESA. Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).
EARTH SCIENCE>ATMOSPHERE
EARTH SCIENCE>SPECTRAL/ENGINEERING>RADAR
EARTH SCIENCE>SPECTRAL/ENGINEERING>VISIBLE WAVELENGTHS
EARTH SCIENCE>BIOSPHERE>ECOSYSTEMS>FRESHWATER ECOSYSTEMS>LAKE/POND>MONTANE LAKE
ETM+
C-SAR
Envisat
Topex/Poseidon
ERS
Metop
SARAL
TOPEX/POSEIDON
TERRA
Metop-A
Metop-B
ETM
Lakes
ECV
Unavailable

This dataset contains an optical ice velocity time series and seasonal product of the Zachariae Glacier in Greenland, derived from intensity-tracking of Sentinel-2 data acquired between 2017-06-25 and 2017-08-10. It has been produced as part of the ESA Greenland Ice Sheet CCI project.The data are provided on a polar stereographic grid (EPSG 3413:Latitude of true scale 70N, Reference Longitude 45E) with 50m grid spacing. The horizontal velocity is provided in true meters per day, towards EASTING (x) and NORTHING (y) direction of the grid. The product was generated by S[&]T Norway.
ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Optical ice velocity of the Zachariae Glacier between 2017-06-25 and 2017-08-10, generated using Sentinel-2 data, v1.1
Data were produced by S[&]T Norway as part of the ESA CCI Greenland Ice Sheet project and supplied to CEDA in the context of the ESA CCI Open Data Portal Project.

EEA
EC
The Sentinel-2 Snow Phenology (SPS2) product is generated once a year at European scale, based on Fractional Snow Cover (FSC) products calculated from Sentinel-2 optical data. This product describes the snow season in terms of temporality as it provides, within an hydrological year and for each pixel, the number of days with snow cover, as well as the first and the last day of the longest observed snow period. The hydrological year starts from 1st September. The product has a spatial resolution of 20 m x 20 m, as does the input FSC product.
Snow Phenology Sentinel-2 2016-present (raster 20 m), Europe, annually
EARTH SCIENCE>LAND SURFACE>LAND USE/LAND COVER
EARTH SCIENCE>TERRESTRIAL HYDROSPHERE>SURFACE WATER
EARTH SCIENCE>CLIMATE INDICATORS>CRYOSPHERIC INDICATORS>SNOW COVER
EARTH SCIENCE>CRYOSPHERE>GLACIERS/ICE SHEETS
EARTH SCIENCE>ATMOSPHERE>CLOUDS
HR-WSI
Water snow and ice monitoring
monitoring
land cover
water
snow
ice
clouds
high resolution
near real time
pan-European
CLMS
Copernicus
climate change impact
landscape alteration
environmental policy
msi
Magellium/CESBIO

ESA/ESRIN
EC
The Sentinel-2 Level-2A Collection 1 product provides orthorectified Surface Reflectance (Bottom-Of-Atmosphere: BOA), with sub-pixel multispectral and multitemporal registration accuracy. Scene Classification (including Clouds and Cloud Shadows), AOT (Aerosol Optical Thickness) and WV (Water Vapour) maps are included in the product.
Sentinel-2 Level-2A
EARTH SCIENCE>CRYOSPHERE>SNOW/ICE>REFLECTANCE
Copernicus
Sentinel
EU
Satellite
Global
Imagery
Reflectance
msi

European Environment Agency
EC
Provides pantropical tree cover density as projective tree cover in percent per pixel at 10 m resolution for the 2020 base year. The product belongs to the Copernicus Global Land Cover and Tropical Forest Mapping and Monitoring Service (LCFM) and builds upon initiatives like the REDDCopernicus, EO4SD Forest Monitoring and pan-European Vegetated Land Cover Characteristics. It advances tropical forest monitoring capabilities, ensuring alignment with international sustainability initiatives and providing critical information for analysis and monitoring of deforestation and forest degradation.
CLMS Tree Cover Density (TCD) Pantropical 10m yearly V1 (COG)
EARTH SCIENCE>SPECTRAL/ENGINEERING>VISIBLE WAVELENGTHS
Copernicus
CLMS
TCD
Tree Cover Density
forest monitoring
pantropical
yearly
msi
VITO