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  • FDR4ATMOS - New ESA FDR for Atmospheric composition dataset from ERS-2 GOME and Envisat SCIAMACHY

    In addition to releasing new datasets for Envisat SCIAMACHY, the European Space Agency (ESA) has advanced the earth observation capabilities by developing an experimental product under the ESA FDR4ATMOS project (Fundamental Data Records in the domain of satellite Atmospheric Composition).

  • 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

  • Showcasing ESA's HEDAVI Earth observation tool

    ESA's HEDAVI (HEritage DAta VIsualiation) is a platform that allows users to freely access over 40 years of ESA Earth observation Heritage, Third Party Missions and some Copernicus data.

  • How to find data collection in EO CAT?

    A short guide to EO-CAT Earth Observation Catalogue application with examples.

  • New stories on change detection and ERS-2 re-entry in HEDAVI

    Two new stories are now available in ESA’s HEDAVI (HEritage DAta VIsualisation) tool. HEDAVI visualises Earth observation data from satellites in ESA’s Heritage and Third Party Missions programme, and includes some data from the Copernicus Sentinel satellites.

  • Interview with Mirko Albani

    ESA’s Heritage Space Programme Manager discusses the programme's objectives and challenges.

  • Beijing (China), 2002

    View Beijing in a SAR multitemporal composite image.

  • Deforestation in Brazil: A Satellite Perspective from 1992 to 2010

    Explore multi-temporal satellite images showing deforestation across various regions of the Amazon rainforest in Brazil.

  • Deforestation in Riau Province (Sumatra Island, Indonesia), 2005

    View multi-temporal satellite images showing deforestation in Riau Province, Sumatra Island, Indonesia.

  • Deforestation in Guatemala Rainforest, 2010

    Explore a series of images showing deforestation in Guatemala's rainforest ecoregions.

  • Development of the Saemangeum Dam (South Korea), 1987-2013

    See the transformation of the Saemangeum Dam in South Korea through satellite images from 1987 to 2013.

  • Fires in Southeast Asia (Indonesia), 1997

    See the 1997 Southeast Asia forest fires through ERS-2 satellite images of South Borneo, Indonesia.

  • Aegean Islands (Greece), 2001

    See the Aegean Sea through satellite image captured by ERS-2, featuring a view of Samos Island and other Greek islands.

  • Oil Spill In Wales (UK), February 1996

    Explore the impact of the 1996 Sea Empress oil spill through satellite images captured by Radasat, ERS-1, and ERS-2

  • Cartagena (Colombia), 2001

    View Cartagena in a SAR multitemporal composite image.

  • Strait of Messina (Italy), 2004

    View the Strait of Messina in a SAR multitemporal composite image.

  • Strait of Gibraltar (Spain), 2002

    View the Strait of Gibraltar in a SAR multitemporal composite image, created by merging three satellite images from 1999, 2000 and 2002.

  • 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

  • Bosphorus (Turkey), 2004

    View Bosphorus in a SAR multitemporal composite image.

  • Berlin (Germany), 2002

    See Berlin in a SAR multitemporal composite image.