Imagery Base Maps Earth Cover
This collection provides access to images archived at ROSCOSMOS for Terra(Modis) mission.
Terra(Modis) Images (ROSCOSMOS)
TERRA
MODIS
Limited. Data are available on request
Environmental Satellite
Russian Space Program
RUSSIA/ROSCOSMOS
CEOS
ROSCOSMOS

Italy
This data set is conformant with the INSPIRE Implementing Rules for the interoperability of spatial data sets and services
Largo Galileo Galilei 1
ESA/ESRIN
Imagery Base Maps Earth Cover
The TerraSAR-X ESA archive collection consists of TerraSAR-X and TanDEM-X products requested by ESA supported projects over their areas of interest around the world. The dataset regularly grows as ESA collects new products over the years. TerraSAR-X/TanDEM-X Image Products can be acquired in 6 image modes with flexible resolutions (from 0.25m to 40m) and scene sizes. Thanks to different polarimetric combinations and processing levels the delivered imagery can be tailored specifically to meet the requirements of the application. The following list delineates the characteristics of the SAR imaging modes that are disseminated under ESA Third Party Missions (TPM). • StripMap (SM): Resolution 3 m, Scene size 30x50 km2 (up to 30x1650 km2) • SpotLight (SL): Resolution 2 m, Scene size 10x10 km2 • Staring SpotLight (ST): Resolution 0.25m, Scene size 4x3.7 km2 • High Resolution SpotLight (HS): Resolution 1 m, Scene size 10x5 km2 • ScanSAR (SC): Resolution 18 m, Scene size 100x150 km2 (up to 100x1650 km2) • Wide ScanSAR (WS): Resolution 40 m, Scene size 270x200 km2 (up to 270x1500 km2) The following list briefly delineates the available processing levels for the TerraSAR-X dataset: • SSC (Single Look Slant Range Complex) in DLR-defined COSAR binary format • MGD (Multi Look Ground Range Detected) in GeoTiff format • GEC (Geocoded Ellipsoid Corrected) in GeoTiff format • EEC (Enhanced Ellipsoid Corrected in GeoTiff format
TerraSAR-X ESA archive
Utilisation of this data is subject to ESA's Earth Observation Terms and Conditions
conditions to access and use unknown
No info available.
EARTH SCIENCE>SPECTRAL/ENGINEERING>RADAR
EARTH SCIENCE>AGRICULTURE>SOILS
EARTH SCIENCE>BIOSPHERE>VEGETATION
EARTH SCIENCE>OCEANS
EARTH SCIENCE>OCEANS>MARINE ENVIRONMENT MONITORING>MARINE OBSTRUCTIONS
EARTH SCIENCE>HUMAN DIMENSIONS>NATURAL HAZARDS
TSX
Orthoimagery
Soils
Vegetation
Oceans
Coastal Processes
Natural Hazards and Disaster Risk
Sun-synchronous
Very High Resolution - VHR (0 - 5) m
High Resolution - HR (5 - 20) m
10 km for SpotLight, 30 km for StripMap, 100 km for ScanSAR
Imaging Radars
TerraSAR-X
Fast Registration with approval
Restrained Data
Fast Registration with Approval (Restrained) 1.      Go to the _$$ESA User Services Portal$$ 2.      Register or log in to EO Sign In - Users are required to provide their institutional email address when registering a new account 3.      Submit the form for accessing the data 4.      The request will be evaluated by ESA, which normally takes up to 2 days 5.      Upon successful evaluation, you will receive a confirmation email 6.      A second email will follow with details of where to download the data 7.      Search and download the products from the _$$dissemination service$$ https://tpm-ds.eo.esa.int/smcat/TerraSAR-X/ (via a map)
The products are freely accessible in accordance with ESA’s Earth observation data policy. An active EO Sign In account is required to download the products. In ESA's Third Party Missions (TPM) _$$dissemination service$$ https://tpm-ds.eo.esa.int/oads/access/collection/TerraSAR-X and catalogue the data is collection based and allows data browse and download through the treeview as well as via geographical search using a static map. TerraSAR-X / TanDEM-X products can also be discovered through _$$ESA's EO Catalogue$$ (EO CAT), which allows users to discover and download products among the available datasets from ESA and Third Party Missions and instruments, using various criteria (spatial, temporal, specific). For further information about the EO Sign In Service you can visit _$$TellUs$$ Should you need support to access the data, please contact _$$EOHelp$$
_$$ESA Member States and ESA Cooperating/Associate States$$ , Canada and Algeria, Angola, Benin, Botswana, Burkina Faso, Burundi, Cameroon, Cabo Verde, Central African Republic, Chad, Comoros, Democratic Republic of the Congo, Djibouti, Egypt, Equatorial Guinea, Eritrea, Ethiopia, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Morocco, Mozambique, Namibia, Niger, Nigeria, Congo, Rwanda, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe, Côte d'Ivoire, Eswatini, United Republic of Tanzania

Italy
This data set is conformant with the INSPIRE Implementing Rules for the interoperability of spatial data sets and services
Largo Galileo Galilei 1
ESA/ESRIN
Imagery Base Maps Earth Cover
ADAM enables generating typical monthly variations of the global Earth surface reflectance at 0.1° spatial resolution (Plate Carree projection) and over the spectral range 240-4000nm. The ADAM product is made of gridded monthly mean climatologies over land and ocean surfaces, and of a companion API toolkit that enables the calculation of hyperspectral (at 1 nm resolution over the whole 240-4000 nm spectral range) and multidirectional reflectances (i.e. in any illumination/viewing geometry) depending on user choices. The ADAM climatologies that feed the ADAM calculation tools are: For ocean: monthly chlorophyll concentration derived from SeaWiFS-OrbView-2 (1999-2009); it is used to compute the water column reflectance (which shows large spectral variations in the visible, but is insignificant in the near and mid infrared). monthly wind speed derived from SeaWinds-QuikSCAT-(1999-2009); it is used to calculate the ocean glint reflectance. For land: monthly normalized surface reflectances in the 7 MODIS narrow spectral bands derived from FondsdeSol processing chain of MOD09A1 products (derived from Aqua and Terra observations), on which relies the modelling of the hyperspectral/multidirectional surface (soil/vegetation/snow) reflectance. uncertainty variance-covariance matrix for the 7 spectral bands associated to the normalized surface reflectance. For sea-ice: Sea ice pixels (masked in the original MOD09A1 products) have been accounted for by a gap-filling approach relying on the spatial-temporal distribution of sea ice coverage provided by the CryoClim climatology for year 2005.
ADAM Surface Reflectance Database v4.0
Utilisation of this data is subject to the ESA Contract condition, as described during registration and in the data disclaimer / data use policy on the web site
conditions to access and use unknown
No info available.
European Space Agency, 2019, ADAM Surface Reflectance Database Version 4.0.
EARTH SCIENCE>LAND SURFACE>SURFACE RADIATIVE PROPERTIES
Terra
Aqua
QUIKSCAT
MODIS
SEAWINDS
SeaWiFS
Orthoimagery
Surface Radiative Properties
Very Low Resolution - VLR (> 1200) m
Imaging Spectrometers/Radiometers
Scatterometers
TERRA
AQUA
QuikSCAT
SeaWinds
Fast Registration with approval
Restrained Data
Fast Registration with Approval (Restrained) 1.      Go to the _$$ESA User Services Portal$$ 2.      Register or log in to EO Sign In 3.      Submit the form for accessing the data 4.      The request will be evaluated by ESA, which normally takes up to 2 days 5.      Upon successful evaluation, you will receive a confirmation email 6.      A second email will follow with details of where to download the data 7.     Download the products from _$$ftp://ats-ftp-ds.eo.esa.int/$$ ftp://ats-ftp-ds.eo.esa.int/ via a FTP client.
New users can register an account on EO Sign In. For further information about the EO Sign In Service you can visit _$$TellUs$$ . Should you need support to access the data, please contact _$$EOHelp$$ .
Access to this data collection is managed and provided by an external party

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 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
Under the following licence appropriate use of these data may fall under unclassified 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.
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
Sentinel-2 MSI
Envisat
Topex/Poseidon
ERS
Metop
SARAL
TOPEX/POSEIDON
TERRA
Metop-A
Metop-B
ETM
MSI
Public data: access to these data is available to both registered and non-registered users.
ESA
CCI
Lakes
ECV
orthoimagery
Unavailable

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 v2). It is derived from a thermal model driven and constrained by satellite data. Grid products of CDRP v2 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: This covers the Northern Hemisphere (north of 30Â°) for the period 2003-2019 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data.Case B: This covers the Northern Hemisphere (north of 30Â°) 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 2003-2019 using a pixel-specific statistics for each day of the year.
ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost active layer thickness for the Northern Hemisphere, v3.0
Under the following licence appropriate use of these data may fall under unclassified 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>BIOSPHERE>VEGETATION
EARTH SCIENCE>AGRICULTURE>SOILS>PERMAFROST
Aqua
ENVISAT
Terra
ASAR
MERIS
MODIS
Envisat
SAR-X
VEGETATION
PROBA-V
AQUA
Public data: access to these data is available to both registered and non-registered users.
Permafrost
CCI
Active layer thickness
orthoimagery
Unavailable

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 v4.0 permafrost ground temperature data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the third version of their Climate Research Data Package (CRDP v3). It is derived from a thermal model driven and constrained by satellite data. CRDPv3 covers the years from 1997 to 2021. Grid products of CDRP v3 are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures and is provided for specific depths (surface, 1m, 2m, 5m , 10m). Case A: It covers the Northern Hemisphere (north of 30Â°) for the period 2003-2021 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data. Case B: It covers the Northern Hemisphere (north of 30Â°) 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 2003-2021 using a pixel-specific statistics for each day of the year.
ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost Ground Temperature for the Northern Hemisphere, v4.0
Under the following licence appropriate use of these data may fall under unclassified 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>PERMAFROST
Aqua
ENVISAT
Terra
ASAR
MERIS
Envisat
SAR-X
SPOT
PROBA-V
AQUA
Public data: access to these data is available to both registered and non-registered users.
Permafrost
CCI
Ground Temperature
orthoimagery
Unavailable

This dataset contains v4.0 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 third version of their Climate Research Data Package (CRDP v3). It is derived from a thermal model driven and constrained by satellite data. CRDPv3 covers the years from 1997 to 2021. Grid products of CDRP v3 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°) for the period 2003-2021 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data. Case B: It covers the Northern Hemisphere (north of 30Â°) 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 2003-2021 using a pixel-specific statistics for each day of the year.
ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost active layer thickness for the Northern Hemisphere, v4.0
Data have been produced by the ESA CCI Permafrost project as part of ESA's Climate Change Initiative programme
EARTH SCIENCE>AGRICULTURE>SOILS>PERMAFROST
ENVISAT
ASAR
MERIS
SAR-X
SPOT
PROBA-V
Permafrost
Active layer thickness

This dataset contains various global lake products (1992-2019) produced by the European Space Agency (ESA) Lakes Climate Change Initiative (Lakes_cci) project. This is version 1.1 of the dataset.Lakes are of significant interest to the scientific community, local to national governments, industries and the wider public. A range of scientific disciplines including hydrology, limnology, climatology, biogeochemistry and geodesy are interested in distribution and functioning of the millions of lakes (from small ponds to inland seas), from the local to the global scale. Remote sensing provides an opportunity to extend the spatio-temporal scale of lake observation. The five thematic climate variables included in this dataset are:â¢ Lake Water Level (LWL): a proxy fundamental to understand the balance between water inputs and water loss and their connection with regional and global climate changes.â¢ Lake Water Extent (LWE): a proxy for change in glacial regions (lake expansion) and drought in many arid environments, water extent relates to local climate for the cooling effect that water bodies provide.â¢ Lake Surface Water temperature (LSWT): correlated with regional air temperatures and a proxy for mixing regimes, driving biogeochemical cycling and seasonality. â¢ Lake Ice Cover (LIC): freeze-up in autumn and advancing break-up in spring are proxies for gradually changing climate patterns and seasonality. â¢ Lake Water-Leaving Reflectance (LWLR): 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).Data generated in the Lakes_cci project are derived from data from multiple instruments and multiple satellites including; TOPEX/Poseidon, Jason, ENVISAT, SARAL, Sentinel, Landsat, ERS, Terra/Aqua, Suomi NPP, Metop and Orbview. For more information please see the product user guide in the documents.
ESA Lakes Climate Change Initiative (Lakes_cci): Lake products, Version 1.1
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.
This dataset was generate 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>AGRICULTURE>SOILS
EARTH SCIENCE>ATMOSPHERE
EARTH SCIENCE>SPECTRAL/ENGINEERING>INFRARED WAVELENGTHS
EARTH SCIENCE>BIOSPHERE>ECOSYSTEMS>FRESHWATER ECOSYSTEMS>LAKE/POND>MONTANE LAKE
EARTH SCIENCE>SPECTRAL/ENGINEERING>RADAR
METOP-A
METOP-B
TOPEX/POSEIDON
ETM+
C-SAR
AATSR
MSS
OLI
RA
SeaWiFS
SSALT
TM
OLCI
day
Collecte Localisation Satellites
Laboratoire d'Etudes en Geodesie et Oceanographie Spatiales
Plymouth Marine Laboratory
GFO
Metop-A
Metop-B
SARAL
SNPP
Topex/Poseidon
Level 3
Level 3S
MERGED
AltiKa
VIIRS
lakes
multiple lake products
SRAL
University of Reading
H2O Geomatics
ETM
ESA
Lakes
ECV

This dataset contains permafrost extent 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 v2). It is derived from a thermal model driven and constrained by satellite data. Grid products of CDRP v2 are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures (at 2 m depth) which forms the basis for the retrieval of yearly fraction of permafrost-underlain and permafrost-free area within a pixel. A classification according to the IPA (International Permafrost Association) zonation delivers the well-known permafrost zones, distinguishing isolated (0-10%) sporadic (10-50%), discontinuous (50-90%) and continuous permafrost (90-100%).Case A: This covers the Northern Hemisphere (north of 30Â°) for the period 2003-2019 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data. Case B: This covers the Northern Hemisphere (north of 30Â°) 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 2003-2019 using a pixel-specific statistics for each day of the year.
ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost extent for the Northern Hemisphere, v3.0
EARTH SCIENCE>BIOSPHERE>VEGETATION
VEGETATION
Permafrost Extent

This dataset contains v4.0 permafrost extent data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the third version of their Climate Research Data Package (CRDP v3). It is derived from a thermal model driven and constrained by satellite data. CRDPv3 covers the years from 1997 to 2021. Grid products of CDRP v3 are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures (at 2 m depth) which forms the basis for the retrieval of yearly fraction of permafrost-underlain and permafrost-free area within a pixel. A classification according to the IPA (International Permafrost Association) zonation delivers the well-known permafrost zones, distinguishing isolated (0-10%) sporadic (10-50%), discontinuous (50-90%) and continuous permafrost (90-100%). Case A: It covers the Northern Hemisphere (north of 30Â°) for the period 2003-2021 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data.Case B: It covers the Northern Hemisphere (north of 30Â°) 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 2003-2021 using a pixel-specific statistics for each day of the year.
ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost extent for the Northern Hemisphere, v4.0
SPOT
Permafrost Extent