This collection contains Sentinel-2 Level-1C products which consist of top-of-atmosphere reflectances in cartographic geometry. 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. 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 Level-1C spatial resolution https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-2-msi/resolutions/spatial Sentinel-2 Level-1C radiometric resolution and band numbering https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-2-msi/resolutions/radiometric File format of measurement data: JPEG2000 Suggested software: ESA SNAP/Sentinel Toolbox (http://step.esa.int/main/download/) Sentinel-2 acquisition plans: https://sentinels.copernicus.eu/web/sentinel/missions/sentinel-2/acquisition-plans
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
This Download Service provides access to CODE-DE products via a Web Coverage Service (WCS) interface. CODE-DE (Copernicus Data and Exploitation Platform - Deutschland) is the German access point to data of the European Earth Observation Programme Copernicus. This programme of the European Union provides satellite data from the Sentinel series and thematic services with products for observations of land/ocean/atmosphere, climate change, security and disaster management. Furthermore, information and tools for the creation of higher quality information are provided on the platform. The focus of data availability is geographically on Germany and Europe ("rolling archive"). This means that data of Germany and Europe will remain in the archive for a particularly long time (with immediate availability), but data outside Germany and especially outside Europe will typically be removed after one month. Sentinel-2 Level 1C products are globally long-term archived and made available again on request.
This collection contains Sentinel-1 Level-1 Single Look Complex (SLC) products which consist of focused SAR data that are geo-referenced using orbit and attitude data from the satellite, and provided in slant-range geometry. Sentinel-1 is a polar-orbiting, all-weather, day-and-night C-band radar imaging mission funded by the European Union and carried out by the ESA within the Copernicus Programme, consisting of a constellation of two satellites. Sensor: C-SAR (Synthetic Aperture Radar) Repeat rate: 12 days (1 satellite), 6 days (2 satellites) Launch date: 03 April 2014 Archiving start date: 12 April 2014 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-1 Mission Overview https://sentinel.esa.int/web/sentinel/missions/sentinel-1 Sentinel-1 Level-1 SLC Products Overview https://earth.esa.int/web/sentinel/technical-guides/sentinel-1-sar/products-algorithms/level-1-algorithms/single-look-complex Spatial resolution of Sentinel-1 Level-1 SLC data https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-1-sar/resolutions/level-1-single-look-complex File format of measurement data: GeoTIFF Suggested software: ESA SNAP/Sentinel Toolbox (http://step.esa.int/main/download/) Sentinel-1 acquisition plans: https://sentinel.esa.int/web/sentinel/missions/sentinel-1/observation-scenario/acquisition-segments
The Global Urban Footprint® (GUF®) dataset is based on the radar (SAR) satellite imagery of the German satellites TerraSAR-X and TanDEM-X. By creating the GUF database, scientists at the German Remote Sensing Data Center (DFD) of the German Aerospace Center (DLR) have succeeded in using a newly developed method to generate a global raster map of the world’s built-up pattern in a so far unprecedented spatial resolution of about 12m per raster cell. Using a fully automated processing system, a global coverage of more than 180,000 very high resolution SAR images (3m ground resolution) has been analyzed acquired between 2010 and 2013. Thereby, the backscatter amplitudes of the SAR data have been used in combination with derived textural information to delineate human settlements in a highly automated, complex decision-making process. The evaluation procedure based mainly on radar signals detects the characteristic vertical structures of human habitations – primarily built-up areas. In addition, auxiliary data such as digital elevation models have been included to improve the classification process. In total, over 20 million datasets were processed with a combined volume of about 320 terabytes. The final global maps show three coverage categories (e. g. in a B&W representation): Built-up areas (vertical structures only) in black, non-built-up surfaces in white, areas of no coverage by TSX/TDX satellites (NoData) as most parts of the oceans in grey. The final product has been optimized for fast online access through web services by merging the 5° x 5° GUF tiles into a single global mosaic. Furthermore reduced resolution overviews have been generated with an interpolation algorithm, that computes the average value of all contribution pixels. The global mosaic uses PackBits compression to reduce file size. (GUF® and Global Urban Footprint® are protected as trademarks.)
Some of today’s most important environmental concerns relate to the composition of the atmosphere. The increasing concentration of the greenhouse gases and the cooling effect of aerosol are prominent drivers of a changing climate, but the extent of their impact is often still uncertain. At the Earth’s surface, aerosols, ozone and other reactive gases such as nitrogen dioxide determine the quality of the air around us, affecting human health and life expectancy, the health of ecosystems and the fabric of the built environment. Ozone distributions in the stratosphere influence the amount of ultraviolet radiation reaching the surface. Dust, sand, smoke and volcanic aerosols affect the safe operation of transport systems and the availability of power from solar generation, the formation of clouds and rainfall, and the remote sensing by satellite of land, ocean and atmosphere. To address these environmental concerns there is a need for data and processed information. The Copernicus Atmosphere Monitoring Service (CAMS) has been developed to meet these needs, aiming at supporting policymakers, business and citizens with enhanced atmospheric environmental information.
The Soil Composite Mapping Processor (SCMaP) is a new approach designed to make use of per-pixel compositing to overcome the issue of limited soil exposure due to vegetation. Three primary product levels are generated that will allow for a long term assessment and distribution of soils that include the distribution of exposed soils, a statistical information related to soil use and intensity and the generation of exposed soil reflectance image composites. The resulting composite maps provide useful value-added information on soils with the exposed soil reflectance composites showing high spatial coverage that correlate well with existing soil maps and the underlying geological structural regions.
MODIS (or Moderate Resolution Imaging Spectroradiometer) is a key instrument aboard the Terra (EOS AM) and Aqua (EOS PM) satellites. Terra's orbit around the Earth is timed so that it passes from north to south across the equator in the morning, while Aqua passes south to north over the equator in the afternoon. Terra MODIS and Aqua MODIS are viewing the entire Earth's surface every 1 to 2 days, acquiring data in 36 spectral bands, or groups of wavelengths (see MODIS Technical Specifications). These data will improve our understanding of global dynamics and processes occurring on the land, in the oceans, and in the lower atmosphere. MODIS is playing a vital role in the development of validated, global, interactive Earth system models able to predict global change accurately enough to assist policy makers in making sound decisions concerning the protection of our environment (from http://modis.gsfc.nasa.gov/). On January 16, 2001 the antenna was installed on the roof of the DLR German Remote Sensing Data Center building in Oberpfaffenhofen and put into operation for MODIS reception (see http://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-7251/12237_read-29022/ for more details). This mosaic has been generated from TERRA and AQUA products between 30 Sept. to 03 Oct. 2011
This collection contains TerraSAR-X Level 1b data acquired over the pre-defined Geohazard Supersites and a number of CEOS projects regions. The collection comprises mainly complex (SSC) with a number of detected (MGD) products. TerraSAR-X data can be ordered by a Principal Investigator (PI) of a respective Supersite region under the terms of a TerraSAR-X Science proposal accepted by DLR. Data is available for download by the Geohazard scientific community under the terms of the user license. Supersites are single sites or extended areas of high priority to the Geohazards community in which active single or multiple geological hazards pose a threat to human population and/or critical facilities. The Supersites initiative provides access to spaceborne and in-situ geophysical data of selected sites prone to earthquake, volcano or other hazards. For further information see: http://ceos.org/ourwork/workinggroups/disasters/gsnl/ Overview of permament Supersites: http://geo-gsnl.org/supersites/permanent-supersites/
The SRTM X-SAR Elevation Mosaic is an aggregation of DLR's SRTM X-SAR DTED tiles. The SRTM X-SAR Color-Coded Elevation Mosaic combines the SRTM X-SAR Elevation and Hillshade Mosaic Datasets to produce a hypsometric colored and shaded relief of the SRTM X-SAR DTED tiles.
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