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  • Data (4)
  • News (7)
  • Missions (3)
  • Events (5)
  • Tools (2)
  • Activities (4)
  • Campaigns (1)
  • Documents (543)
  • News - Success Stories

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    Trailblazing ERS-2 mission enables climate change applications

    As ESA’s ERS-2 satellite approaches Earth’s atmosphere for reentry, it’s time to reflect on the mission’s great achievements in powering climate-related applications.

  • News - Thematic area articles

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    Cloud-free collections key for land monitoring

    Satellite imagery is a crucially important tool for monitoring the land, but cloud cover can often block parts of Earth’s surface from view, limiting subsequent analyses.

  • News - Success Stories

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    Commercial and international data for fire monitoring

    As climate change sparks a surge in the frequency and intensity of wildfires, satellite data disseminated through ESA’s Third Party Missions (TPM) programme are helping scientists to track and investigate these potentially damaging natural events.

  • Data - EO Sign In Authentication (Open)

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    Landsat 5 TM European and Mediterranean Countries Cloud Free Collection

    This dataset contains the cloud-free products from Landsat 5 Thematic Mapper collection acquired over Europe, North Africa and the Middle East; for each scene only one product is selected, with the minimal cloud coverage. The acquired Landsat TM scene covers 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 can vary by up to 100 m). The data are system corrected.

  • News - Data Release news

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    Full European Landsat data collection now available under the same catalogue

    The Full European Landsat data collection, from Landsat-1 to Landsat-8, is now available under the same catalogue

  • News - Thematic area articles

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    Transforming space data into climate action

    ESA’s Earth observation activities are playing a key role in the revitalised global drive to combat climate change.

  • Activity - Projects

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    Dragon 2 Cooperation Programme

    The Dragon 2 Programme focussed on the exploitation of ESA, ESA's Third Party Missions and Chinese Earth observation data for science and applications development in land, ocean and atmospheric applications.

  • Data - EO Sign In Authentication (Open)

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    Landsat TM ESA archive

    This dataset contains all the Landsat-5 Thematic Mapper high-quality ortho-rectified L1T dataset acquired by ESA over the Fucino, Matera, Kiruna and Maspalomas visibility masks, as well as campaign data over Malindi, Bishkek, Chetumal, and Libreville. The acquired Landsat TM scene covers 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 can vary by up to 100 m). A full image is composed of 6920 pixels x 5760 lines and each band requires 40 MB of storage space (uncompressed) at 30 m spatial resolution in the VIS, NIR and SWIR as well as 120 m in the TIR spectral range. Kiruna Landsat TM GTC density map Maspalomas Landsat TM GTC density map Matera Landsat TM GTC density map

  • News - Success Stories

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    ERS Heritage Data allow for 30 years of science

    At their time of launch thirty years ago, the two ERS satellites were the most sophisticated Earth observation spacecraft ever developed and launched by Europe.

  • Tools - Apps

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    Heritage Missions app for iOS

    Download the Heritage Missions application to discover what the missions were about, how it worked and what the elements of the space and ground segment that make these missions unique.

  • Tools - Apps

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    Heritage Missions app for Android

    Download the Heritage Missions application to discover what the missions were about, how it worked and what the elements of the space and ground segment that make these missions unique.

  • Document - Publication - Paper

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    Calibration strategy for ERS scatterometer data reprocessing.pdf

    Paper included in the Proceedings of SPIE Remote Sensing of the Ocean and Sea Ice 2005 - vol.5977- Brugge (Belgium): Calibration strategy for ERS scatterometer data reprocessing. WS Cal/Val.

  • News - Data Release news

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    New reprocessed Landsat data on a new dissemination server

    The full ESA Landsat archive has been reprocessed with the latest version of the processor to provide a homogenous dataset covering MSS, TM and ETM+ data.

  • Document - Product Cal/Val Plan/Report

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    ECMWF Report on ERS-2 scatterometer - cycle 74

  • Document - Product Cal/Val Plan/Report

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    ECMWF Report on ERS-2 scatterometer - cycle 53

  • Data - Fast Registration with immediate access (Open)

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    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.

  • Mission - Heritage Missions

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    ERS

    The ERS programme was composed of two missions, ERS-1 and ERS-2, which together observed the Earth for 20 years, from 1991 to 2011.

  • Data - Campaigns (Open)

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    THERMOPOLIS

    The THERMOPOLIS 2009 campaign mainly served the DUE “Urban Heat islands (UHI) and Urban Thermography (UT) Project”