earth online

BROWSE RESULTS BY CATEGORY

DATA

Discover and download the Earth observation data you need from the broad catalogue of missions the European Space Agency operate and support.
  • CIRFAEx

    From April 22 to May 12, 2022, the Norwegian research vessel Kronprins Haakon served as base for in-situ measurements and observations of sea ice and snow properties at Belgica Bank / North-East Greenland which is a region of highly variable ice cover characteristics and frequent occurrences of icebergs.

  • AVHRR L1B/1C Local Area Coverage Imagery

    Level-1B This collection is composed of AVHRR L1B products (1.1 km) reprocessed from the NOAA POES and Metop AVHRR sensors data acquired at the University of Dundee and University of Bern ground stations and from the ESA and University of Bern data historical archive. The product format is the NOAA AVHRR Level 1B that combines the AVHRR data from the HRPT stream with ancillary information like Earth location and calibration data which can be applied by the user. Other appended parameters are time codes, quality indicators, solar and satellite angles and telemetry. Two data collections cover the data acquired over Europe and the neighbouring regions in the period of 1 January 1981 to 31 December 2020 in the context of the 1-KM project in the 90s. During the early 1990’s various groups, including the International Geosphere-Biosphere Programme (IGBP), the Commission of the European Communities (CEC), the Moderate Resolution Imaging Spectrometer (MODIS) Science Team and ESA concluded that a global land 1 KM AVHRR data set would have been crucial to study and develop algorithms for several land products for the Earth Observing System. USGS, NOAA, ESA and other non-U.S. AVHRR receiving stations endorsed the initiative to collect a global land 1-km multi-temporal AVHRR data set over all land surfaces using NOAA's TIROS "afternoon" polar-orbiting satellite. On 1 April 1992, the project officially began and lasted up to the end of 1999 with the utilisation of 23 stations worldwide plus the NOAA local area coverage (LAC) on-board recorders. The global land 1-km AVHRR dataset is composed of 5 channels, raw AVHRR dataset at 1.1 km resolution from the NOAA-11 and NOAA-14 satellites covering land surfaces, inland water and coastal areas. Global Land 1 km AVHRR Data Set Project HRPT Ground Station Network (as of 1 April 1992) and Acquisition Areas for LAC Recorded Data Level-1C This data collection consists of measurements from the Advanced Very High Resolution Radiometer (AVHRR) at 1.1km full Local Area Coverage (LAC) resolution. It is based on the ESA AVHRR Level 1B European Data Set, a curated collection of AVHRR 1km data from 1981 to 2020 covering Europe, selected areas in Africa and the acquired data out-of-Europe in the context of the 1-KM project in the ‘90s (see the Level-1B description for details). The AVHRR LAC measurements were processed by the Remote Sensing Research Group of the University Bern, Switzerland. A landmark based navigation correction software adjusted time and satellite attitude to improve the georeferencing accuracy. The PyGAC software was used to convert the counts to reflectances for the visible and near-infrared channels 1, 2, 3A, and to brightness temperatures for the infrared channels 3B, 4, 5. The infrared calibration uses on-board calibration data and is satellite specific without cross-calibration between satellites. Due to the lack of on-board calibration data for the visible channels, calculated coefficients from the CIMSS PATMOS-X project, version 2017r1, were used for the visible calibration aiming to minimize spectral differences among the various AVHRR sensors. The data format is NetCDF. The calibrated AVHRR data are accompanied by coordinates, satellite and solar angles, additional metadata, and basic quality indicators. The NOAA nomenclature is used for the data record labelling it as a set of AVHRR L1C data. The new products are conveniently formatted in NetCDF. Free standard tools, such as Panoply, can be used to read NetCDF data. Panoply is sourced and updated by external entities. For further details, please consult our Terms and Conditions page.

  • Landsat 5 TM Europe and North Africa Coverage 1984-85

    This collections contains Landsat 5 Thematic Mapper (TM) imagery acquired over Europe and North Africa from April 1984 to December 1985. 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

    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 1995-98

    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.

  • Announcement of Opportunity for Unseenlabs data

    ESA is launching an Announcement of Opportunity for the international scientific community to access Unseenlabs data service of radiofrequency (RF) detection at sea for science and EO-based applications development.

  • Fundamental Data Record for Atmospheric Composition [ATMOS__L1B]

    The Fundamental Data Record (FDR) for Atmospheric Composition UVN v.1.0 dataset is a cross-instrument Level-1 product [ATMOS__L1B] generated in 2023 and resulting from the ESA FDR4ATMOS project. The FDR contains selected Earth Observation Level 1b parameters (irradiance/reflectance) from the nadir-looking measurements of the ERS-2 GOME and Envisat SCIAMACHY missions for the period ranging from 1995 to 2012. The data record offers harmonised cross-calibrated spectra with focus on spectral windows in the Ultraviolet-Visible-Near Infrared regions for the retrieval of critical atmospheric constituents like ozone (O3), sulphur dioxide (SO2), nitrogen dioxide (NO2) column densities, alongside cloud parameters. The FDR4ATMOS products should be regarded as experimental due to the innovative approach and the current use of a limited-sized test dataset to investigate the impact of harmonization on the Level 2 target species, specifically SO2, O3 and NO2. Presently, this analysis is being carried out within follow-on activities. The FDR4ATMOS V1 is currently being extended to include the MetOp GOME-2 series. Product format For many aspects, the FDR product has improved compared to the existing individual mission datasets: GOME solar irradiances are harmonised using a validated SCIAMACHY solar reference spectrum, solving the problem of the fast-changing etalon present in the original GOME Level 1b data; Reflectances for both GOME and SCIAMACHY are provided in the FDR product. GOME reflectances are harmonised to degradation-corrected SCIAMACHY values, using collocated data from the CEOS PIC sites; SCIAMACHY data are scaled to the lowest integration time within the spectral band using high-frequency PMD measurements from the same wavelength range. This simplifies the use of the SCIAMACHY spectra which were split in a complex cluster structure (with own integration time) in the original Level 1b data; The harmonization process applied mitigates the viewing angle dependency observed in the UV spectral region for GOME data; Uncertainties are provided. Each FDR product provides, within the same file, irradiance/reflectance data for UV-VIS-NIR special regions across all orbits on a single day, including therein information from the individual ERS-2 GOME and Envisat SCIAMACHY measurements. FDR has been generated in two formats: Level 1A and Level 1B targeting expert users and nominal applications respectively. The Level 1A [ATMOS__L1A] data include additional parameters such as harmonisation factors, PMD, and polarisation data extracted from the original mission Level 1 products. The ATMOS__L1A dataset is not part of the nominal dissemination to users. In case of specific requirements, please contact EOHelp. Please refer to the README file for essential guidance before using the data. All the new products are conveniently formatted in NetCDF. Free standard tools, such as Panoply, can be used to read NetCDF data. Panoply is sourced and updated by external entities. For further details, please consult our Terms and Conditions page. Uncertainty characterisation One of the main aspects of the project was the characterization of Level 1 uncertainties for both instruments, based on metrological best practices. The following documents are provided: General guidance on a metrological approach to Fundamental Data Records (FDR) Uncertainty Characterisation document Effect tables NetCDF files containing example uncertainty propagation analysis and spectral error correlation matrices for SCIAMACHY (Atlantic and Mauretania scene for 2003 and 2010) and GOME (Atlantic scene for 2003) reflectance_uncertainty_example_FDR4ATMOS_GOME.nc reflectance_uncertainty_example_FDR4ATMOS_SCIA.nc

  • RADARSAT Sample Data

    Download free RADARSAT sample datasets to preview products available for this mission.

  • Pléiades Neo Sample Data

    Download free Pléiades Neo sample datasets to preview products available for this mission.

  • SPOT 6 Sample Data

    Download free SPOT 6 sample datasets to preview products available for this mission.

  • Pléiades Sample Data

    Download free Pléiades sample datasets to preview products available for this mission.

  • Envisat SCIAMACHY Level 2 [SCI_____2P]

    This Envisat SCIAMACHY Level 2 Total column densities and stratospheric profiles v7.1 dataset is generated from the full mission reprocessing campaign completed in 2023 under the ESA FDR4ATMOS project. It provides atmospheric columnar distributions and stratospheric profiles for various trace gases based on the Level 1b version 10 products. This SCIAMACHY Level 2 dataset contains total column densities of O3, NO2, OClO, H2O, SO2, BrO, CO, HCHO, CHOCHO and CH4 retrieved from Nadir measurements. Additionally, cloud parameters (fractional coverage, top height, optical thickness) and an aerosol absorption indicator are enclosed. Stratospheric profiles of O3, NO2, and BrO are derived from limb measurements, along with flagging information for different cloud-types. Tropospheric NO2 and BrO columns are retrieved combining limb and nadir measurements. This SCIAMACHY Level 2 dataset version 7.1 replaces the previous version 6.01. Users are strongly encouraged to make use of the new datasets for optimal results. For limb O3 profiles, a separate product derived from the previous Version 6 processor is provided distinctly -> SCIAMACHY Level 2 - Limb Ozone [SCI_LIMBO3]. This is because the V7.1 limb ozone data is unsuitable for long-term change studies due to its divergent behavior from earlier processor versions, particularly from 2009 onwards. This divergence stems from residual deficiencies in the Level 1, resulting in a vertical oscillating pattern in the drift and bias profiles. In contrast, Version 6 limb ozone data does not exhibit these oscillations in bias and drift. Further details on this issue can be found in the latest README file. The new products are conveniently formatted in NetCDF. Free standard tools, such as Panoply, can be used to read NetCDF data. Panoply is sourced and updated by external entities. For further details, please consult our Terms and Conditions page. Please refer to the README file for essential guidance before using the data.

  • Envisat SCIAMACHY Level 2 - Limb Ozone [SCI_LIMBO3]

    This Envisat SCIAMACHY Ozone stratospheric profiles dataset has been extracted from the previous baseline (v6.01) of the SCIAMACHY Level 2 data. The dataset is generated in the framework of the full mission reprocessing campaign completed in 2023 under the ESA FDR4ATMOS project. For optimal results, users are strongly encouraged to make use of these specific ozone limb profiles rather than the ones contained in the SCIAMACHY Level 2 dataset version 7.1. The new products are conveniently formatted in NetCDF. Free standard tools, such as Panoply, can be used to read NetCDF data. Panoply is sourced and updated by external entities. For further details, please consult our Terms and Conditions page. Please refer to the README file (L2 v6.01) for essential guidance before using the data.

  • Envisat SCIAMACHY Level 1b [SCI_____1P]

    This Envisat SCIAMACHY Level 1b Geo-located atmospheric spectra V.10 dataset is generated from the full mission reprocessing campaign completed in 2023 under the ESA FDR4ATMOS project. This data product contains SCIAMACHY geo-located (ir)radiance spectra for Nadir, Limb, and Occultation measurements (Level 1), accompanied by supplementary monitoring and calibration measurements, along with instrumental parameters detailing the operational status and configuration throughout the Envisat satellite lifetime (2002-2012). Additionally, calibrated lunar measurements, including individual readings and averaged disk measurements, have been integrated into the Level 1b product. The Level 1b product represents the lowest level of SCIAMACHY data made available to the users. The measurements undergo correction for instrument degradation applying a scan mirror model and m-factors. However, spectra are partially calibrated and require a further step to apply specific calibrations with the SCIAMACHY Calibration and Extraction Tool [SciaL1c]. For many aspects, the SCIAMACHY Level 1b version 10 product marks a significant improvement with respect to previous mission datasets, supplanting the Level 1b dataset version 8.0X with product type SCI_NL__1P. Users are strongly encouraged to make use of the new datasets for optimal results. The new products are conveniently formatted in NetCDF. Free standard tools, such as Panoply, can be used to read NetCDF data. Panoply is sourced and updated by external entities. For further details, please consult our Terms and Conditions page. Please refer to the README file for essential guidance before using the data.

  • 2022 SEASTARex

    The 2022 SEASTARex campaign over the Iroise Sea (offshore Brittany in France), is the first scientific demonstration and validation campaign for the SEASTAR satellite mission Earth Explorer 11 candidate.

  • IceSAR 2019

    The ICESAR 2019 study was motivated by the need to improve the understanding of radar backscatter of sea ice at different wavelengths and polarisations.

  • Airborne Quantum Gravimetry (AirQuantumGrav 2023)

    The campaign collected data from airborne gravity campaigns AirQuantumGrav in Iceland and GreenQuantum in Greenland during summer 2023 using iMAR strapdown gravimeter and GIRAFE cold atom interferometer.

  • Announcement of Opportunity for Spire data

    ESA is launching an Announcement of Opportunity for the international scientific community to access data from the Spire mission for science and applications development.

  • ERS ATSR L1B Brightness Temperature/Radiance [ER1_AT_1_RBT / ER2_AT_1_RBT]

    Band measurements with associated uncertainty estimates. The ERS-1/2 ATSR Level 1B Brightness Temperature/Radiance products (RBT) contain top of atmosphere (TOA) brightness temperature (BT) values for the infra-red channels and radiance values for the visible channels, when available, on a 1-km pixel grid. The visible channels are only available for the ATSR-2 instrument. Values for each channel and for the nadir and oblique views occupy separate NetCDF files within the Sentinel-SAFE format, along with associated uncertainty estimates. Additional files contain cloud flags, land and water masks, and confidence flags for each image pixel, as well as instrument and ancillary meteorological information. The ATSR-1 and ATSR-2 products [ER1_AT_1_RBT and ER2_AT_1_RBT], in NetCDF format stemming from the 4th ATSR reprocessing, are precursors of Envisat AATSR and Sentinel-3 SLSTR data. They have replaced the former L1B products [AT1_TOA_1P and AT2_TOA_1P] in Envisat format from the 3rd reprocessing. Users with Envisat-format products are recommended to move to the new Sentinel-SAFE like/NetCDF format products, and consult the ERS ATSR Product Notice Readme document. The processing updates that have been put in place and the expected scientific improvements for the ERS ATSR 4th reprocessing data have been outlined in full in the User Documentation for (A)ATSR 4th Reprocessing Products

  • TomoSense

    The TomoSense experiment was conceived to provide the scientific community with unprecedented data to study the features of radar scattering from temperate forests, comprising tomographic and fully polarimetric SAR surveys at P-, L-, and C-band, acquired in mono- and bi-static mode by simultaneously flying two aircraft.