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Umring des Nationalparks Schwarzwald Nationalparke sind nach § 24 Bundesnaturschutzgesetz "rechtsverbindlich festgesetzte einheitlich zu schützende Gebiete, die 1. großräumig, weitgehend unzerschnitten und von besonderer Eigenart sind, 2. in einem überwiegenden Teil ihres Gebiets die Voraussetzungen eines Naturschutzgebietes erfüllen und 3. sich in einem überwiegenden Teil ihres Gebietes in einem vom Menschen nicht oder wenig beeinflussten Zustand befinden oder geeignet sind, sich in einen Zustand zu entwickeln oder in einen Zustand entwickelt zu werden, der einen möglichst ungestörten Ablauf der Naturvorgänge in ihrer natürlichen Dynamik gewährleistet. Nationalparke haben zum Ziel, im überwiegenden Teil ihres Gebiets den möglichst ungestörten Ablauf der Naturvorgänge in ihrer natürlichen Dynamik zu gewährleisten. Soweit es der Schutzzweck erlaubt, sollen Nationalparke auch der wissenschaftlichen Umweltbeobachtung, der naturkundlichen Bildung und dem Naturerlebnis der Bevölkerung dienen".
Flächenraster des ehrenamtlichen Waldschnepfen-Monitorings der Forstlichen Versuchs- und Forschungsanstalt Baden-Württemberg. Dieser Datensatz dient allen freiwilligen Teilnehmenden für die Auswahl von Quadranten für die Erfassung der Waldschnepfenbalz im Frühjahr. Die Kartierung der Waldschnepfe erfolgt stationär an einem geeigneten Standort, beispielsweise an einer Waldlichtung, innerhalb dieser 1 km²-Flächen.
The SRTM X-SAR Error Mosaic is based on the height error map (HEM, see SRTM PDF http://www.dlr.de/eoc/Portaldata/60/Resources/dokumente/7_sat_miss/SRTM-XSAR-DEM-DTED-1.1.pdf) and provides a local measure of the achieved accuracy. It is statistically determined from a neighborhood of image cells mainly considering the phase and baseline stability. Thus it describes the precision relative to the surrounding. The determination of the absolute accuracy requires the consideration of reference measures.
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.
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.)
The SRTM X-SAR Elevation Mosaic is an aggregation of DLR's SRTM X-SAR DTED files. The DTED Level-2 files have been generated from Synthetic Aperture Radar (SAR) data acquired by the German-Italian X-band interferometric SAR system during the Shuttle Radar Topography Mission (SRTM) between February 11 and 22, 2000. The X-band system was flown and operated onboard the Space Shuttle Endeavor, along with a NASA C-Band SAR system. The SRTM project page at DLR provides additional information on the SRTM X-band mission (http://www.dlr.de/eoc/Portaldata/60/Resources/dokumente/7_sat_miss/SRTM-XSAR-DEM-DTED-1.1.pdf). Further details on the mission in general, the technology, accuracies, and applications are available in http://www2.jpl.nasa.gov/srtm/SRTM_paper.pdf . The original DTED files have been grouped and mosaicked into 30 x 30 degree tiles. Six out of the total of 48 tiles were empty since they do not contain any DTED files. The resulting 42 tiles are stored as uncompressed GeoTIFF files. The files have been supplemented with nine cubic convolution resampled overviews for fast web delivery.
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.
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
The SRTM X-SAR Hillshade Mosaic is a greyscale shaded relief based on the SRTM X-SAR Elevation Mosaic. Combined with the latter, it can be used to add a 3d effect and enhance the visual resolution by pronouncing peaks and valleys.