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imageryBaseMapsEarthCover

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  • The objective of the pan-European project CORINE Land Cover (CLC) is the provision of a unique and comparable data set of land cover for Europe and the delivery of regular updates to register also the land cover and land use changes over time. It is part of the European Union programme CORINE (Coordination of Information on the Environment). The mapping of the land cover and land use was performed on the basis of satellite remote sensing images. The first CLC data base CLC1990, which was finalized in the 1990s, consistently provided land use information comprising 44 classes, out of which 37 classes are relevant in Germany. The first two updates for Europe were based on the reference years 2000 and 2006. For Germany, DLR-DFD was responsible for the creation of CLC2000 and CLC2006 on behalf of the Federal Environment Agency. In addition to the updated land cover, change datasets were also parts of the project. For deriving a meaningful CLC2000 change product, it became necessary to re-interprete parts of the satellite data of 1990 and to create a revised product, called CLC1990 (rev). Further details: http://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-11882/20871_read-48836/

  • Indian Remote Sensing satellites (IRS) are a series of Earth Observation satellites, built, launched and maintained by Indian Space Research Organisation. The IRS series provides many remote sensing services to India and international ground stations. With 5 m resolution and products covering areas up to 70 km x 70 km IRS LISS-IV mono data provide a cost effective solution for mapping tasks up to 1:25'000 scale.

  • The RapidEye RESA Germany Mosaic provides a nearly cloud-free view of the country’s geography, natural resources, and infrastructure. It is composed of 374,240 sqkm of multi-spectral RapidEye imagery, acquired between April and October 2015. The product is being provided in the framework of the RapidEye Science Archive (RESA) agreement. Co-funded by the German Federal Government, the fleet of RapidEye satellites were launched from the Baikonur cosmodrome in Kazakhstan in 2008. The satellites are now owned by Planet Labs, Inc. The RapidEye Earth observation system comprises five satellites equipped with high-resolution optical sensors. With a spatial resolution of 6.5 m the 5-band instruments operate in the visible and near-infrared portions of the electromagnetic spectrum. With its high repetition rate the RapidEye constellation can image each point on the Earth’s at least once per day.

  • This collection contains Sentinel-3 Level-1 products recorded by the OLCI (Ocean and Land Colour) instrument. The data consist of top-of-atmosphere radiances, ortho-geolocated and re-sampled onto an along-track and across-track grid. The Sentinel-3 mission, jointly operated by ESA and EUMETSAT, is designed as a constellation of two identical polar orbiting satellites, separated by 180°, for the provision of long-term operational marine and land monitoring services. Sensor: OLCI (Ocean Land Colour Instrument) Revisit time: <2 days at the equator Launch date: 16 February 2016 Archiving start date: 29 February 2016 Mission Status: ongoing Terms and conditions for the use of Sentinel data https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/TC_Sentinel_Data_31072014.pdf Sentinel-3 Mission Overview https://sentinel.esa.int/web/sentinel/missions/sentinel-3 Sentinel-3 OLCI Level-1 Products Overview https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-olci/level-1-algorithms-products Spatial resolution of Sentinel-3 Level-1B data: https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-olci/resolutions/spatial Radiometric resolution and band numbering: https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-olci/resolutions/radiometric File format of measurement data: netCDF Suggested software: ESA SNAP/Sentinel Toolbox (http://step.esa.int/main/download/) Sentinel-3 OLCI coverage: https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-olci/coverage

  • The objective of the pan-European project CORINE Land Cover (CLC) is the provision of a unique and comparable data set of land cover for Europe and the delivery of regular updates to register also the land cover and land use changes over time. It is part of the European Union programme CORINE (Coordination of Information on the Environment). The mapping of the land cover and land use was performed on the basis of satellite remote sensing images. The first CLC data base CLC1990, which was finalized in the 1990s, consistently provided land use information comprising 44 classes, out of which 37 classes are relevant in Germany. The first two updates for Europe were based on the reference years 2000 and 2006. For Germany, DLR-DFD was responsible for the creation of CLC2000 and CLC2006 on behalf of the Federal Environment Agency. In addition to the updated land cover, change datasets were also parts of the project. For deriving a meaningful CLC2000 change product, it became necessary to re-interprete parts of the satellite data of 1990 and to create a revised product, called CLC1990 (rev). Further details: http://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-11882/20871_read-48836/

  • The objective of the pan-European project CORINE Land Cover (CLC) is the provision of a unique and comparable data set of land cover for Europe and the delivery of regular updates to register also the land cover and land use changes over time. It is part of the European Union programme CORINE (Coordination of Information on the Environment). The mapping of the land cover and land use was performed on the basis of satellite remote sensing images. The first CLC data base CLC1990, which was finalized in the 1990s, consistently provided land use information comprising 44 classes, out of which 37 classes are relevant in Germany. The first two updates for Europe were based on the reference years 2000 and 2006. For Germany, DLR-DFD was responsible for the creation of CLC2000 and CLC2006 on behalf of the Federal Environment Agency. In addition to the updated land cover, change datasets were also parts of the project. For deriving a meaningful CLC2000 change product, it became necessary to re-interprete parts of the satellite data of 1990 and to create a revised product, called CLC1990 (rev). Further details: http://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-11882/20871_read-48836/

  • Indian Remote Sensing satellites (IRS) are a series of Earth Observation satellites, built, launched and maintained by Indian Space Research Organisation. The IRS series provides many remote sensing services to India and international ground stations. \\n\\nIRS LISS-III data are well suited for agricultural and forestry monitoring tasks. Because of their simultaneous acquisition with IRS PAN data and the availability of a synthetic blue band, LISS-III data are ideal for colouring IRS PAN products.

  • This collection contains cloud-filtered monthly composites of Sentinel-2 Level 1C data. Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission developed by ESA as part of the Copernicus Programme, supporting the Copernicus Land Monitoring services, including the monitoring of vegetation, soil and water cover, as well as the observation of inland waterways and coastal areas. The full Sentinel-2 mission comprises two polar-orbiting satellites in the same orbit, phased at 180° to each other. File format: NetCDF Sensor: MSI (Multispectral Instrument) Repeat rate: 5 days (with two satellites) Launch dates: 23 June 2015 (Sentinel-2A), 07 March 2017 (Sentinel-2B) Archiving start date: 27 June 2015 Mission Status: ongoing Terms and conditions for the use of Sentinel data https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/TC_Sentinel_Data_31072014.pdf Sentinel-2 Mission Overview https://sentinel.esa.int/web/sentinel/missions/sentinel-2 Sentinel-2 Level-1C Processing Overview https://earth.esa.int/web/sentinel/technical-guides/sentinel-2-msi/level-1c-processing Sentinel-2 spatial resolution https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-2-msi/resolutions/spatial Sentinel-2 radiometric resolution and band numbering https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-2-msi/resolutions/radiometric Sentinel-2 acquisition plans: https://sentinels.copernicus.eu/web/sentinel/missions/sentinel-2/acquisition-plans

  • Digitale, farbige Orthophotos (Luftbilder) flächendeckend für das Gebiet der Stadt Hamm, in belaubtem Zustand, im Blattschnitt der DGK

  • This collection contains radar image products of the German national TerraSAR-X mission acquired in Spotlight mode. Spotlight imaging allows for a spatial resolution of up to 2 m at a scene size of 10 km (across swath) x 10 km (in orbit direction). TerraSAR-X is a sun-synchronous polar-orbiting, all-weather, day-and-night X-band radar earth observation mission realized in the frame of a public-private partnership between the German Aerospace Center (DLR) and Airbus Defence and Space. For more information concerning the TerraSAR-X mission, the reader is referred to: http://www.dlr.de/dlr/en/desktopdefault.aspx/tabid-10377/565_read-436/

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