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
non testé
Reflectance Landsat images (Level 2A) processed by the Theia Land Data Center (http://www.theia-land.fr) for the CNES French Space Agency (http://www.cnes.fr). The processing center developed by CNES uses the MACCS prototype L2A chain developed and designed by CESBIO. LANDSAT 8 L1T Input data come from USGS (http://earthexplorer.usgs.gov) that we would like to thank for releasing freely the LANDSAT 8 datasets.
Landsat Level2A images (Theia)
LANDSAT 5 7 8 - ETM, TM, OLI, TIRS
Geology
Land cover
EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC RADIATION > REFLECTANCE
TM
ETM
OLI
FedEO
THEIA
muscate
reflectance
landsat
CNES
18 avenue Edouard Belin
France
FR/CNES

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
This dataset contains all the Landsat 1 to Landsat 5 Multi Spectral Scanner (MSS) high-quality ortho-rectified L1T dataset acquired by ESA over the Fucino, Kiruna (active from April to September only) and Maspalomas (on campaign basis) visibility masks. The acquired Landsat MSS scene covers approximately 183 x 172.8 km. A standard full scene is nominally centred on the intersection between a path and row (the actual image centre can vary by up to 200m). The altitude changed from 917 Km to 705 km and therefore two World Reference Systems (WRS) were. A full image is composed of 3460 pixels x 2880 lines with a pixel size of 60m. Level 1 Geometrically and terrain corrected GTC products (L1T) are available: it is the most accurate level of processing as it incorporates Ground Control Points (GCPs) and a Digital Elevation Model (DEM) to provide systematic geometric and topographic accuracy, with geodetic accuracy dependent on the number, spatial distribution and accuracy of the GCPs over the scene extent, and the resolution of the DEM used.
Landsat MSS ESA Archive
No info available.
European Space Agency, 2020, Landsat MSS ESA Archive, Version SLAP_03.08
EARTH SCIENCE>BIOSPHERE>VEGETATION
EARTH SCIENCE>LAND SURFACE>LAND USE/LAND COVER
MSS
Orthoimagery
Vegetation
Land Use and Land Cover
Sun-synchronous
Medium Resolution - MR (20 - 500) m
917 km (Landsat-1 to Landsat-3), 705 km (Landsat-4 and Landsat-5)
Imaging Spectrometers/Radiometers
PUBLIC
conditions to access and use unknown
Utilisation of this data is subject to the Terms and Conditions for ESA's Third Party Missions scheme

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
This collections contains Landsat 5 Thematic Mapper (TM) imagery acquired over Europe and North Africa from January 1986 to November 1989. The available data products have a cloud cover percentage of less than 20%.
The acquired Landsat 5 TM scenes have a footprint of approximately 183 x 172.8 km. A standard full scene is nominally centred on the intersection between a path and row (the actual image centre may deviate by up to 100 m). The data are system corrected.
Landsat 5 TM Europe and North Africa Coverage 1986-89
No info available.
EARTH SCIENCE>BIOSPHERE
EARTH SCIENCE>LAND SURFACE
EARTH SCIENCE>LAND SURFACE>LAND USE/LAND COVER
EARTH SCIENCE>LAND SURFACE>SURFACE RADIATIVE PROPERTIES
EARTH SCIENCE>BIOSPHERE>VEGETATION
TM
Orthoimagery
Biosphere
Land Surface
Land Use and Land Cover
Surface Radiative Properties
Vegetation
Sun-synchronous
Medium Resolution - MR (20 - 500) m
Imaging Spectrometers/Radiometers
PUBLIC
conditions to access and use unknown
Utilisation of this data is subject to the Terms and Conditions for ESA's Third Party Missions scheme

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
Dara are ESRI vector shape-file format and include metadata information on the sensor and processing steps in the corresponding attribute table
The data set provides calving front locations of 28 major outlet glaciers of the Greenland Ice Sheet, produced as part of the ESA Greenland Ice Sheet Climate Change Initiative (CCI) project. The Calving Front Location (CFL) of outlet glaciers from ice sheets is a basic parameter for ice dynamic modelling, for computing the mass fluxes at the calving gate, and for mapping glacier area change. The calving front location has been derived by manual delineation using SAR (Synthetic Aperture Radar) data from the ERS-1/2, Envisat and Sentinel-1 satellites and satellite imagery from LANDSAT 5,7,8. The digitized calving fronts are stored in ESRI vector shape-file format and include metadata information on the sensor and processing steps in the corresponding attribute table.The product was generated by ENVEO (Environmental Earth Observation Information Technology GmbH)
ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Calving Front Locations, v3.0
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 were produced by ENVEO (Environmental Earth Observation Information Technology GmbH) 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
EARTH SCIENCE>AGRICULTURE>SOILS
ETM+
C-SAR
AMI
TIRS
TM
ice sheets
AMI-SAR
SAR-C (Sentinel-1)
AMI/SAR
ETM
Public data: access to these data is available to both registered and non-registered users.
Greenland
Ice sheet
CCI
ESA
orthoimagery
ESA/CCI

DOI/USGS
Geoscientific Information
CLIMATE APPLICATIONS: Wildfire mapping, biogeochemical cycling, surface hydrological processes, greenhouse gas emissions
EARTH SCIENCE>BIOSPHERE>ECOLOGICAL DYNAMICS>FIRE ECOLOGY>FIRE DISTURBANCE
Fire Disturbance
ECV

DOI/USGS
Geoscientific Information
CLIMATE APPLICATIONS: Climate change, surface hydrologic modeling, biogeochemical cycling, water supply and availability
EARTH SCIENCE>BIOSPHERE>ECOSYSTEMS>FRESHWATER ECOSYSTEMS>LAKE/POND>MONTANE LAKE
Lakes
ECV

DOI/USGS
Landsat Collection 2 Level-2 Science Products consisting of atmospherically corrected surface reflectance and surface temperature image data. Collection 2 Level-2 Science Products are available from August 22, 1982 to present. This dataset represents the Brazilian archive of Level-2 data from Landsat Collection 2 acquired by the Thematic Mapper (https://landsat.gsfc.nasa.gov/thematic-mapper/) onboard Landsat 4 and 5, the Enhanced Thematic Mapper onboard Landsat 7, and Operatational Land Imager and Thermal Infrared Sensor onboard Landsat 8 and 9. Images are stored in cloud-optimized GeoTIFF (https://www.cogeo.org/) format.
Landsat Collection 2 - Level-2
EARTH SCIENCE>LAND SURFACE>SURFACE RADIATIVE PROPERTIES>REFLECTANCE
OLI
TIRS
ETM+
Landsat
ETM
landsat
oli
tirs
surface reflectance
cloud optimized geotiff
cog
earth observation
brazil
tm
etm

Landsat 6M São Paulo State Mosaic
Earth Observation Data Cube generated from Landsat Level-2 product over Sao Paulo State extension. This dataset is provided in Cloud Optimized GeoTIFF (COG) file format. The dataset is processed with 30 meters of spatial resolution, reprojected and cropped to BDC_MD grid Version 2 (BDC_MD V2), considering a temporal compositing function of 6 months using the Least Cloud Cover First (LCF) best pixel approach.
EARTH SCIENCE>LAND SURFACE>SURFACE RADIATIVE PROPERTIES>REFLECTANCE
EARTH SCIENCE>LAND SURFACE>LAND USE/LAND COVER>LAND USE/LAND COVER CLASSIFICATION>VEGETATION INDEX
ETM+
OLI
TIRS
Landsat
data cube
landsat
surface reflectance
vegetation index
cloud optimized geotiff
cog
earth observation
brazil
tm
etm
oli
tirs

OpenGeoHub Foundation
Brazil, cloud-free, and reconstructed historical Landsat spectral bands are provided at a spatial resolution of 30 meters and temporal resolution of bimonthly intervals (six images per year) from 1997 onwards. The dataset was generated using the GLAD Landsat Analysis Ready Data version 2 as the primary input for temporal aggregation and the imputation of missing values. Detailed information on the data processing methodology in [Consoli et al., 2024](https://peerj.com/articles/18585/). This subset of the collection provides Brazil mosaics for all Landsat bands (RGB, NIR, SWIR-1, SWIR-2 & Thermal) as Cloud Optimized GeoTIFF (COG).
Landsat TSIRF bimonthly
Landsat
oli
tirs
etm
tm
cloud optimized geotiff
cog
earth observation
brazil

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
This collections contains Landsat 5 Thematic Mapper (TM) imagery acquired over Europe and North Africa from January 1995 to December 1998. The available data products have a cloud cover percentage of less than 20%.
The acquired Landsat 5 TM scenes have a footprint of approximately 183 x 172.8 km. A standard full scene is nominally centred on the intersection between a path and row (the actual image centre may deviate by up to 100 m). The data are system corrected.
Landsat 5 TM Europe and North Africa Coverage 1995-98
No info available.
EARTH SCIENCE>BIOSPHERE
EARTH SCIENCE>LAND SURFACE
EARTH SCIENCE>LAND SURFACE>LAND USE/LAND COVER
EARTH SCIENCE>LAND SURFACE>SURFACE RADIATIVE PROPERTIES
EARTH SCIENCE>BIOSPHERE>VEGETATION
Orthoimagery
Biosphere
Land Surface
Land Use and Land Cover
Surface Radiative Properties
Vegetation
Sun-synchronous
Medium Resolution - MR (20 - 500) m
Imaging Spectrometers/Radiometers
PUBLIC
conditions to access and use unknown
Utilisation of this data is subject to the Terms and Conditions for ESA's Third Party Missions scheme