Geometric high-resolution satellite imagery (HRSI) is being used increasingly for generating large-scale topographic maps. The detection of object shapes has become easier and more accurate with improved geometric resolution. The grey value range and spectral resolution are also important for the identification and classification of objects. The nominal ground sampling distance (GSD) must not be the same as the effective GSD corresponding to the information content. In addition, the topographic conditions, object contrast, sun elevation and azimuth and atmospheric conditions influence the object identification. The information content of panchromatic and multispectral satellite images (Landsat 7 ETM+, ASTER, TK-350, KVR-1000, SPOT-5, IRS-1C, IKONOS, QuickBird and OrbView-3) available for the Zonguldak test field were investigated with respect to the generation of large-scale topographic maps. The rule of thumb for topographic mapping of at least 0.1 mm GSD in the map scale with the limit of a maximum of 5 m GSD also for smaller map scales has been confirmed.
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Document Type: Research Article
Department of Geodesy and Photogrammetry Engineering, Zonguldak Karaelmas University, 67100 Zonguldak, Turkey
Department of Geodesy and Photogrammetry Engineering, Istanbul Technical University, 34469 Maslak, Istanbul, Turkey
Institute of Photogrammetry and GeoInformation, Leibniz University Hannover, Germany
BIMTAS, Tophanelioglu Cad. ISKI Hizmet Binasi, 34460, Altunizade, Istanbul, Turkey
Publication date: January 1, 2009
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