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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).

  • 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.

  • Interview with Mirko Albani

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

  • Oil Spill in Oporto (Portugal), October 1994

    See the oil spill near Oporto's coast captured in an ERS satellite image.

  • Flood in Béziers (France), January 1996

    See satellite images of the January 1996 flood in Béziers, France.

  • Flood in Netherlands, February 1995

    View the impact of the 1995 floods in the Netherlands through multi-temporal SAR satellite images.

  • Hurricane Katrina, 2005

    See satellite imagery of Hurricane Katrina and its impact on New Orleans in 2005.

  • Flood in Europe (Germany), 1997

    See satellite imagery showcasing the 1997 floods in Germany.

  • Urban Evolution of Dubai: A Satellite Perspective from 1984 to 2017

    Explore the urban transformation of Dubai through satellite images spanning from 1984 to 2017.

  • Flood,Tuscany (Italy), October 1992

    Explore the 1992 floods in Florence, Italy, through this ERS multi-temporal satellite image.

  • Flood, Charleville (France), February 1995

    See the 1995 flood in the Ardennes district through ERS-1 satellite images.

  • Flood, Camargue (France), January 1994

    Explore the 1994 flooding in France's Camargue region through a series of satellite images, capturing the event's impact from pre-flood conditions to recovery efforts.

  • Flood, Alessandra and Asti (Italy), November 1994

    Explore the widespread flooding along the Po and Tanaro Rivers in northern Italy during the 1994 storm through a series of satellite images.

  • 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

  • Showcasing Fundamental Data Records for Altimetry

    ESA has developed a comprehensive suite of Earth system data records as part of the Fundamental Data Records for Altimetry (FDR4ALT) project.

  • ESA's improved Earth system data records: what is in store for the future?

    Fundamental Data Records (FDRs) are instrumental in advancing our understanding of Earth systems and for addressing societal challenges effectively. These long-term records contain uncertainty-quantified, calibrated and geo-located multi-instrument/multi-platform satellite sensor data spanning several decades to support climate-related applications.

  • Showcasing success stories from ESA's Heritage Missions

    Find out how ESA's Heritage Space Programme data continue to help, even decades after they finished operations, in our latest infographic.

  • Earth Online Newsletter - 08 March 2024

    This issue of the Earth Online Newsletter covers a selection of the latest news and events from ESA.

  • FDR4ALT - ESA unveils new cutting-edge ERS/Envisat Altimeter and Microwave Radiometer Datasets

    The European Space Agency (ESA) has developed a comprehensive suite of innovative Earth system data records as part of the Fundamental Data Records for Altimetry project - FDR4ALT.

  • Fundamental Data Records for Radiometry [MWR_FDR___]

    This dataset is a Fundamental Data Record (FDR) resulting from the ESA FDR4ALT project. The Fundamental Data Record for Radiometry V1 products contain intercalibrated Top of the Atmosphere brightness temperatures at 23.8 and 36.5 GHz. The collection covers data for the ERS-1, ERS-2 and Envisat missions, and is built upon a new processing of Level 0 data, incorporating numerous improvements in terms of algorithms, flagging procedures, and corrections. Compared to existing datasets, the Radiometry FDR demonstrates notable improvements in several aspects: New solutions for instrumental effects (ERS Reflector loss, Skyhorn, and Sidelobe corrections) Native sampling rate of 7Hz with enhanced coverage The FDR4ALT products are available in NetCDF format. Free standard tools for reading NetCDF data can be used. Information for expert altimetry users is also available in a dedicated NetCDF group within the products. Please consult the FDR4ALT Product User Guide before using the data. The FDR4ALT datasets represent the new reference data for the ERS/Envisat altimetry missions, superseding any previous mission data. Users are strongly encouraged to make use of these datasets for optimal results.