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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 - Announcement of Opportunity (Restrained)
Announcement of Opportunity for G-POD
ESA is offering all scientists the possibility to perform bulk processing and/or validation of their own algorithms exploiting the large ESA Earth-observation archive.
Data - Fast Registration with approval (Restrained)
ALOS PALSAR products
The dataset contains all ESA acquisitions over the ADEN zone (Europe, Africa and the Middle East) plus some products received from JAXA over areas of interest around the world. Further information on ADEN zones can be found in this technical note. ALOS PALSAR products are available in following modes: Fine Beam Single polarisation (FBS), single polarisation (HH or VV), swath 40-70 km, resolution 10 m, temporal coverage from 02/05/2006 to 30/03/2011 Fine Beam Double polarisation (FBD), double polarisation (HH/HV or VV/VH), swath 40-70 km, resolution 10 m, temporal coverage from 02/05/2006 to 30/03/2011 Polarimetry mode (PLR), with four polarisations simultaneously: swath 30 km, resolution 30 m, temporal coverage from 26/08/2006 to 14/04/2011 ScanSAR Burst mode 1 (WB1), single polarisation: swath 250-350 km, resolution 100 m, temporal coverage from 12/06/2006 to 21/04/2011. Following processing levels are available: RAW (Level 1.0): Raw data generated by every downlink segment and every band. Divided into an equivalent size to one scene SLC (Level 1.1): Slant range single look complex product. Not available for WB1 GDH (Level 1.5): Ground range Detected, Normal resolution product GEC (Level 1.5): Geocoded product. The table summarises the ALOS PALSAR offer. Instrument mode Product type Processing level description JAXA processing level equivalent Fine Beam Single polarisation (HH or VV) FBS_RAW_0P Raw data generated by every downlink segment and every band. Divided into an equivalent size to one scene 1.0 FBS_GDH_1P Ground range Detected, Normal resolution product 1.5 FBS_GEC_1P Geocoded product 1.5 FBS_SLC_1P Slant range single look complex product 1.1 Fine Beam Double polarisation (HH/HV or VV/VH) FBD_RAW_0P Raw data generated by every downlink segment and every band. Divided into an equivalent size to one scene 1.0 FBD_GDH_1P Ground range Detected, Normal resolution product 1.5 FBD_GEC_1P Geocoded product 1.5 FBD_SLC_1P Slant range single look complex product 1.1 Polarimetry mode (4 polarisation) PLR_RAW_0P Raw data generated by every downlink segment and every band. Divided into an equivalent size to one scene 1.0 PLR_GDH_1P Ground range Detected, Normal resolution product 1.5 PLR_GEC_1P Geocoded product 1.5 PLR_SLC_1P Slant range single look complex product 1.1 ScanSAR Burst mode 1 (single polarisation) WB1_RAW_0P Raw data generated by every downlink segment and every band. Divided into an equivalent size to one scene 1.0 WB1_GDH_1P Ground range Detected, Normal resolution product 1.5 WB1_GEC_1P Geocoded product 1.5
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 - 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).