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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 - Data Description

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    TropForest - ALOS, GEOSAT-1 & KOMPSAT-2 optical coverages over tropical forests

    The objective of the ESA TropForest project was to create a harmonised geo-database of ready-to-use satellite imagery to support 2010 global forest assessment performed by the Joint Research Centre (JRC) of the European Commission and by the Food and Agriculture Organization (FAO). Assessments for year 2010 were essential for building realistic deforestation benchmark rates at global to regional levels. To reach this objective, the project aimed to create a harmonised ortho-rectified/pre-processed imagery geo-database based on satellite data acquisitions (ALOS AVNIR-2, GEOSAT-1 SLIM6, KOMPSAT-2 MSC) performed during year 2009 and 2010, for the Tropical Latin America (excluding Mexico) and for the Tropical South and Southeast Asia (excluding China), resulting in 1971 sites located at 1° x 1° geographical lat/long intersections. The project finally delivered 1866 sites (94.7% of target) due to cloud coverages too high for missing sites. Spatial coverage: Check the spatial coverage of the collection on a map available on the Third Party Missions Dissemination Service.

  • Data - Project Proposal (Restrained)

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    IRS-1C/1D Full archive

    The following products are available: PAN: Panchromatic, resolution 5 m, Coverage 70 km x 70 km, radiometrically and ortho (DN) corrected, LISS-III: Multi-spectral, resolution 25 m, Coverage 140 km x 140 km, radiometrically and ortho (DN) corrected (ortho delivered without Band 5) WiFS: Multi-spectral, resolution 180 m, Coverage 800 km x 800 km, radiometrically and ortho (DN) corrected. Sensor Type Resolution (m) Coverage (km x km) System or radiometrically corrected Ortho corrected (DN) Global archive PAN Panchromatic 5 70 x 70 X X 1996 – 2007 (IRS-1C) 1998 – 2009 (IRS-1D) LISS-III Multi-spectral 25 140 x 140 X X (without band 5) WiFS Multi-spectral 180 800 km x 800 km X X Note: Whether system corrected or radiometrically corrected products are available depends on sensor and processing centre For PAN and LISS-III ortho corrected: If unavailable, user has to supply ground control information and DEM in suitable quality For WiFS ortho corrected: service based on in house available ground control information and DEM.

  • Data - EO Sign In Authentication (Open)

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    IRS-1C/1D European coverage

    IRS-1C/1D dataset is composed of products generated by the Indian Remote Sensing (IRS) Satellites 1C/1D PAN sensor. The products, acquired from 1996 to 2004 over Europe, are radiometrically and ortho corrected level 1 black and white images at 5 metre resolution and cover an area of up to 70 x 70 km. Sensor Type Resolution (m) Coverage (km x km) System or radiometrically corrected Ortho corrected (DN) Acquisition in Neustrelitz PAN Panchromatic 5 70 x 70 X X 1996 - 2004 IRS-1C/1D PAN data coverage of Europe acquired between 1996 to 1998. Copyright: 2015 GAF AG IRS-1C/1D PAN data coverage of Europe acquired between 1999 to 2001. Copyright: 2015 GAF AG IRS-1C/1D PAN data coverage of Europe acquired between 2002 to 2004. Copyright: 2015 GAF AG Spatial coverage: Check the spatial coverage of the collection on a map available on the Third Party Missions Dissemination Service.

  • Data - EO Sign In Authentication (Open)

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    KOMPSAT-2 ESA archive

    KOMPSAT-2 ESA archive collection is composed by bundle (Panchromatic and Multispectral separated images) products from the Multi-Spectral Camera (MSC) onboard KOMPSAT-2 acquired from 2007 to 2014: 1m resolution for PAN, 4m resolution for MS. Spectral Bands: Spectral Band Application PAN 500 – 900 nm Locate, identify and measure surface features and objects primarily by their physical appearance MS1 Blue 450 – 520 nm Mapping shallow water, differentiating soil from vegetation MS2 Green 520 - 600 nm Differentiating vegetation by health MS3 Red 630 - 690 nm Differentiating vegetation by species MS4 NIR 760 – 900 nm Mapping vegetation, mapping vegetation vigor/health, Differentiating vegetation by species Spatial coverage: Check the spatial coverage of the collection on a map available on the Third Party Missions Dissemination Service.