f167eb8a-b2d3-4f86-b0aa-fb246b08dcb3 German Aerospace Center (DLR) geoservice@dlr.de 2024-06-20T13:06:53 ISO 19115:2003/19139 1.0 2 0 12 0 12 false WGS 84 (EPSG:4326) EPSG 7.4 Global Urban Footprint (GUF) - TSX/TDX - Global 2016-11-18T00:00:00 https://geoservice.dlr.de/catalogue/srv/metadata/f167eb8a-b2d3-4f86-b0aa-fb246b08dcb3 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 degree 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.) German Aerospace Center (DLR) Thomas.Esch@dlr.de German Aerospace Center (DLR) Thomas.Esch@dlr.de https://geoservice.dlr.de/catalogue/srv/api/records/f167eb8a-b2d3-4f86-b0aa-fb246b08dcb3/attachments/quicklook_guf28_Munich_Alps_2000x2000.png quicklook_guf28_Munich_Alps_2000x2000.png https://geoservice.dlr.de/catalogue/srv/api/records/f167eb8a-b2d3-4f86-b0aa-fb246b08dcb3/attachments/quicklook_guf28_Munich_Alps_2000x2000_s.png quicklook_guf28_Munich_Alps_2000x2000_s.png Land cover GEMET - INSPIRE themes, version 1.0 2008-06-01 Land urbanization global mapping settlement patterns TerraSAR-X TanDEM-X SAR X-Band TSX-1 TDX-1 texture Nutzungsbedingungen: A non-exclusive, spatially and temporally unlimited, non-transferable, non-sublicensable right to use GUF is granted free of charge for - scientific purposes on the high resolution version of GUF® (0.4 arcseconds), - non-commercial purposes on the low resolution version of the GUF® (2.8 arcseconds). This license does not grant any commercial use of GUF® or products generated or derived by GUF®. Nutzungseinschränkungen: GUF® is provided without any warranty. DLR is not liable for damage resulting from use. 24000 planningCadastre -180.00 180.00 -65.00 85.00 2010-12-01T00:00:00 2013-06-30T00:00:00 http://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-9628/16557_read-40454/ Global Urban Footprint Global Urban Footprint https://geoservice.dlr.de/eoc/land/wms? OGC:WMS-1.3.0-http-get-map GUF04_DLR_v1_Mosaic WMS access Global Urban Footprint (0.4 arcseconds - 12 m), for scientific use only https://geoservice.dlr.de/eoc/land/wms? OGC:WMS-1.3.0-http-get-map GUF28_DLR_v1_Mosaic WMS access Global Urban Footprint (2.8 arcseconds - 84 m), for non-commercial use only https://geoservice.dlr.de/eoc/land/wms?service=WMS&version=1.1.0&request=GetMap&layers=GUF04_DLR_v1_Mosaic&styles=guf_8bit&bbox=-180,-65,180,85&width=1024&height=1024&srs=EPSG:4326&format=application/vnd.google-earth.kml%2Bxml%3Bmode%3Dnetworklink GLG:KML-2.0-http-get-map KML Global Urban Footprint (0.4 arcseconds - 12 m) https://geoservice.dlr.de/eoc/land/wms?service=WMS&version=1.1.0&request=GetMap&layers=GUF28_DLR_v1_Mosaic&styles=guf_8bit&bbox=-180,-65,180,85&width=1024&height=1024&srs=EPSG:4326&format=application/vnd.google-earth.kml%2Bxml%3Bmode%3Dnetworklink GLG:KML-2.0-http-get-map KML Global Urban Footprint (2.8 arcseconds - 84 m) http://www.dlr.de/eoc/en/Portaldata/60/Resources/dokumente/guf/DLR-GUF_LicenseAgreement-and-OrderForm.pdf WWW:LINK-1.0-http--link DLR-GUF License Agreement and Order Form DLR-GUF License Agreement and Order Form http://www.dlr.de/eoc/en/Portaldata/60/Resources/dokumente/guf/GUF_Product_Specifications_GUF_DLR_v01.pdf WWW:LINK-1.0-http--link DLR-GUF Product Specifications DLR-GUF Product Specifications http://www.dlr.de/eoc/en/Portaldata/60/Resources/dokumente/guf/GUF_References.pdf WWW:LINK-1.0-http--link GUF References GUF References Conformity_001 INSPIRE Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 See the referenced specification true The Global Urban Footprint® (GUF®) dataset is based on the radar (SAR) satellite imagery of the German satellites TerraSAR X and TanDEM X. Using a fully automated processing system, the so-called Urban Footprint Processor, a global coverage of more than 180,000 very high resolution SAR images (3m ground resolution) has been analyzed, mainly 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. In addition, auxiliary data such as digital elevation models have been included to improve the classification process. The data collection of satellite imagery was performed mainly between 2011 and 2012 (93 %), with single scenes with more recent acquisition dates (of 2013 / 2014) used to fill data gaps. For more details see: Esch, T., Marconcini, M., Felbier, A., Roth, A., Heldens, W., Huber, M., Schwinger, M., Taubenböck, H., Müller, A., Dech, S. (2013) Urban Footprint Processor – Fully Automated Processing Chain Generating Settlement Masks from Global Data of the TanDEM-X Mission. IEEE Geoscience and Remote Sensing Letters, Vol. 10, No. 6, November 2013. Pp. 1617-1621. ISSN 1545-598X, DOI 10.1109/LGRS.2013.2272953 (see: http://elib.dlr.de/83318/ ) All 5° x 5° tiles have been merged with GDAL (v2.1.1) into a global mosaic for fast web delivery. Reduced resolution overviews have been generated with average interpolation using GDAL (v2.1.1).