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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 - EO Sign In Authentication (Open)

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    AVHRR Level-1B Local Area Coverage Imagery

    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 Europe and the neighbouring regions in the period of 1 January 1981 to 31 December 2020 and the acquired data 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 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 Spatial coverage: Check the spatial coverage of the collection on a map available on the Third Party Missions Dissemination Service: AVHRR L1B 1.1 KM AVHRR L1B LAC Out-of-Europe.

  • Data - Campaigns (Open)

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    BioSAR 2010

    The BioSAR-3 (BioSAR 2010) campaign was specifically planned and implemented to investigate possibilities for a future spaceborne P-band polarimetric and interferometric SAR with a life-time of multiple years.

  • Data - Campaigns (Open)

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    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)

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    AfriSAR 2016

    In order to further support the BIOMASS mission development, especially concerning the mission concept verification and the development of geophysical algorithms, ESA funded the AfriSAR campaign.

  • Data - Campaigns (Open)

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    BioSAR 2008

    The main objective of BioSAR-2 (BioSAR 2008) campaign was to record SAR data over boreal forests with topographic effects to investigate the effect on biomass retrieval.

  • Data - Campaigns (Open)

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    BioSAR 2007

    The BioSAR campaign aimed to support geophysical algorithm development, calibration/validation and the simulation of future spaceborne Earth Observation missions.

  • Data - Campaigns (Open)

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    IceSAR 2007

    The objectives of IceSAR 2007 campaign was to acquire SAR images and complementary data over sea and land ice for preparation of Sentinel-1 mission and for providing a basis for the assessment of potential applications of Biomass mission.

  • Data - Campaigns (Open)

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    IceSAR 2012

    In the frame of IceSAR 2012, airborne SAR campaigns were carried out in Greenland in support of the Biomass candidate Earth Explorer mission.

  • Data - Campaigns (Open)

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    INDREX-2

    ESA and Indonesian Ministry of Forest Study was a 2004 follow-up campaign to the INDREX project which was to generate a digital elevation model over a non-accessible region in order to model environmental changes.