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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 - Sample Data (Open)
IRS-P5 (Cartosat-1) Sample Data
Download free IRS-P5 (Cartosat-1) sample datasets to preview products available for this mission.
Data - Project Proposal (Restrained)
IRS-1C/1D Full archive
The following products are available: PAN: Panchromatic, resolution 5 m, Coverage 70 km x 70 km, radiometrically and ortho (DN) corrected, LISS-III: Multi-spectral, resolution 25 m, Coverage 140 km x 140 km, radiometrically and ortho (DN) corrected (ortho delivered without Band 5) WiFS: Multi-spectral, resolution 180 m, Coverage 800 km x 800 km, radiometrically and ortho (DN) corrected. Sensor Type Resolution (m) Coverage (km x km) System or radiometrically corrected Ortho corrected (DN) Global archive PAN Panchromatic 5 70 x 70 X X 1996 – 2007 (IRS-1C) 1998 – 2009 (IRS-1D) LISS-III Multi-spectral 25 140 x 140 X X (without band 5) WiFS Multi-spectral 180 800 km x 800 km X X Note: Whether system corrected or radiometrically corrected products are available depends on sensor and processing centre For PAN and LISS-III ortho corrected: If unavailable, user has to supply ground control information and DEM in suitable quality For WiFS ortho corrected: service based on in house available ground control information and DEM.
Data - EO Sign In Authentication (Open)
IRS-1C/1D European coverage
IRS-1C/1D dataset is composed of products generated by the Indian Remote Sensing (IRS) Satellites 1C/1D PAN sensor. The products, acquired from 1996 to 2004 over Europe, are radiometrically and ortho corrected level 1 black and white images at 5 metre resolution and cover an area of up to 70 x 70 km. Sensor Type Resolution (m) Coverage (km x km) System or radiometrically corrected Ortho corrected (DN) Acquisition in Neustrelitz PAN Panchromatic 5 70 x 70 X X 1996 - 2004 IRS-1C/1D PAN data coverage of Europe acquired between 1996 to 1998. Copyright: 2015 GAF AG IRS-1C/1D PAN data coverage of Europe acquired between 1999 to 2001. Copyright: 2015 GAF AG IRS-1C/1D PAN data coverage of Europe acquired between 2002 to 2004. Copyright: 2015 GAF AG Spatial coverage: Check the spatial coverage of the collection on a map available on the Third Party Missions Dissemination Service.
Data - Fast Registration with immediate access (Open)
ERS-2 SCATTEROMETER Surface Soil Moisture Time Series and Orbit product in High and Nominal Resolution [SSM.H/N.TS - SSM.H/N]
Surface soil moisture records are derived from the backscatter coefficient measured by the Scatterometer on-board the European Remote Sensing satellite (ERS-2) using the Technische Universität (TU) Wien soil moisture retrieval algorithm called WARP (WAter Retrieval Package). In the WARP algorithm, the relative surface soil moisture estimates, given in degree of saturation Sd, range between 0% and 100% are derived by scaling the normalized backscatter between the lowest/highest backscatter values corresponding to the driest/wettest soil conditions. Surface Soil Moisture - Time Series product: The products generated are the surface soil moisture time series, where for each grid point defined in a DGG (Discrete Global Grid) is stored the time series of soil moisture and its noise, the surface state flag, the geolocation and the satellite parameters. The spatial resolution of the products is about 25 km x 25 km (high resolution) or 50 km x 50 km (nominal resolution) geo-referenced on the WARP grid. The location of the points can be viewed interactively with the tool DGG Point Locator. Surface Soil Moisture - Orbit product: In addition to WARP, a second software package, referred to as WARP orbit, was developed in response to the strong demand of soil moisture estimates in satellite orbit geometry. The Level 2 soil moisture orbit product contains a series of Level 1 data information, such as the backscatter, the incidence angle and the azimuth angle for each triplet together with the surface soil moisture and its noise, normalized backscatter at 40° incidence angle, parameters useful for soil moisture, the geolocation and the satellite parameters. The soil moisture orbit product is available in two spatial resolutions with different spatial sampling distances: Spatial sampling on a regular 12.5 km grid in orbit geometry with a spatial resolution of about 25 km x 25 km (High resolution) Spatial sampling on a regular 25 km grid in orbit geometry with a spatial resolution of about 50 km x 50 km (Nominal resolution). The spatial resolution is defined by the Hamming window function, which is used for re-sample of raw backscatter measurements to the orbit grid in the Level-1 ground processor. Please consult the Product Quality Readme file before using the ERS-2 Surface Soil Moisture data.
Data - Project Proposal (Restrained)
CartoSat-1 archive and Euro-Maps 3D Digital Surface Model
CartoSat-1 (also known as IRS-P5) archive products are available as PAN-Aft (backward), PAN-Fore (forward) and Stereo (PAN-Aft and PAN-Fore). Sensor Products Type Resolution (m) Coverage (km x km) System or radiometrically corrected Ortho corrected (DN) Neustralitz archive Global archive PAN PAN-Aft (backward) PAN-Fore (forward) Stereo (PAN-Aft+PAN-Fore) Panchromatic 2.5 27 x 27 X X 2007 - 2016 2005 - 2019 Note: Resolution 2.5 m. - Coverage 27 km x 27 km System or radiometrically corrected. For Ortho corrected products, if unavailable, user has to supply ground control information and DEM in suitable quality For Stereo ortho corrected: only one of the datasets will be ortho corrected. Euro-Maps 3D is a homogeneous, 5 m spaced digital surface model (DSM) semi-automatically derived from 2.5 m in-flight stereo data provided by IRS-P5 CartoSat-1 and developed in cooperation with the German Aerospace Center, DLR. The very detailed and accurate representation of the surface is achieved by using a sophisticated and well adapted algorithm implemented on the basis of the Semi-Global Matching approach. In addition, the final product includes detailed flanking information consisting of several pixel-based quality and traceability layers also including an ortho layer. Product Overview Post spacing 5 m Spatial reference system DD, UTM or other projections on WGS84 Height reference system EGM96 Absolute vertical accuracy LE90 5-10 m Absolute Horizontal Accuracy CE90 5-10 m Relative vertical accuracy LE90 2.5 m File format GeoTIFF, 16 bit Tiling 0.5° x 0.5° Ortho Layer Pixel Size 2.5 m The CartoSat-1 products and Euro-Maps 3D are available as part of the GAF Imagery products from the Indian missions: IRS-1C, IRS-1D, CartoSat-1 (IRS-P5), ResourceSat-1 (IRS-P6) and ResourceSat-2 (IRS-R2) missions. Euro-Maps 3D available data map
Data - External Data (Restrained)
ADAM Surface Reflectance Database v4.0
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 240-4000 nm. 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.
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)
AROMAT-II
This campaign covers the fields of atmospheric composition: NO2, SO2, aerosols, over Romania (Bucharest and Turceni) and Germany (Berlin).