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DATA
Discover and download the Earth observation data you need from the broad catalogue of missions the European Space Agency operate and support.
Data - EO Sign In Authentication (Open)
Landsat 5 TM European and Mediterranean Countries Cloud Free Collection
This dataset contains the cloud-free products from Landsat 5 Thematic Mapper collection acquired over Europe, North Africa and the Middle East; for each scene only one product is selected, with the minimal cloud coverage. The acquired Landsat TM 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 100 m). The data are system corrected.
Data - Data Description
Landsat TM ESA archive
This dataset contains all the Landsat-5 Thematic Mapper high-quality ortho-rectified L1T dataset acquired by ESA over the Fucino, Matera, Kiruna and Maspalomas visibility masks, as well as campaign data over Malindi, Bishkek, Chetumal, and Libreville. The acquired Landsat TM 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 100 m). A full image is composed of 6920 pixels x 5760 lines and each band requires 40 MB of storage space (uncompressed) at 30 m spatial resolution in the VIS, NIR and SWIR as well as 120 m in the TIR spectral range. Kiruna Landsat TM GTC density map Maspalomas Landsat TM GTC density map Matera Landsat TM GTC density map
Data - Data Description
Landsat MSS ESA Archive
This dataset contains all the Landsat 1 to Landsat 5 Multi Spectral Scanner (MSS) high-quality ortho-rectified Level 1 GEO and GTC 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 200 m). The altitude changed from 917 km to 705 km and therefore two World Reference Systems (WRS) were used. A full image is composed of 3460 pixels x 2880 lines with a pixel size of 60 m. Two different product levels are available: Geometrically and terrain corrected GTC Products (L1T): The most accurate level of processing as they incorporate 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. Geometrically corrected GEO Product (L1G): Normally generated where there is a lack of GCPs, and are derived purely from data collected by the sensor and spacecraft e.g. ephemeris data. Matera density and coverage map Kiruna density and coverage map Maspalomas density and coverage map
Data - Campaigns (Open)
AfriScat
AfriScat campaign, a follow on to TropiSCAT campaign, was to acquire long-term P-Band radar data in an African tropical forest.
Data - Campaigns (Open)
AfriSAR 2016
In order to further support the BIOMASS mission development, especially concerning the mission concept verification and the development of geophysical algorithms, ESA funded the AfriSAR campaign.
Data - Campaigns (Open)
BioSAR 2008
The main objective of BioSAR-2 (BioSAR 2008) campaign was to record SAR data over boreal forests with topographic effects to investigate the effect on biomass retrieval.
Data - Campaigns (Open)
BioSAR 2007
The BioSAR campaign aimed to support geophysical algorithm development, calibration/validation and the simulation of future spaceborne Earth Observation missions.
Data - Campaigns (Open)
IceSAR 2007
The objectives of IceSAR 2007 campaign was to acquire SAR images and complementary data over sea and land ice for preparation of Sentinel-1 mission and for providing a basis for the assessment of potential applications of Biomass mission.
Data - Campaigns (Open)
INDREX-2
ESA and Indonesian Ministry of Forest Study was a 2004 follow-up campaign to the INDREX project which was to generate a digital elevation model over a non-accessible region in order to model environmental changes.