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DATA
KOMPSAT-1 Coverage of 50 European Cities
Available as a single coverage collection of data over 50 European Cities acquired by KOMPSAT-1’s Electro-Optical Camera (EOC) geolocated and orthorectified. The dataset is composed by PAN imagery at 6.6 m GSD, in GeoTIFF orthorectified format.
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.
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.