Information content capabilities of very high resolution optical space imagery for updating GIS database

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Alkan, M.; Jacobsen, K.: Information content capabilities of very high resolution optical space imagery for updating GIS database. In: Proceedings of SPIE - The International Society for Optical Engineering 9481 (2015), 94810K. DOI: https://doi.org/10.1117/12.2177857

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/1767

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Sum total of downloads: 200




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Nowadays, the number and capacity of very high resolution optical satellites grows permanently, so the access to very high resolution space images is not any more a problem. The use of Geographic Information Systems (GISs) together with Remote Sensing became important. With the increased ground resolution a competition to aerial images exist. For the generation of topographic maps, today available as GIS, the accuracy and the information content - what elements can be identified in the image - are important. Both may limit the presentation scale of topographic maps. As horizontal accuracy 0.25mm up to 0.3mm in the map scale are accepted. The required information content is more complicate. The object details to be presented in topographic maps vary from area to area which is based on the planned and unplanned areas. In this study, images from IRS-1C, Kompsat-1, SPOT 5, OrbView-3, IKONOS, QuickBird and WorldView-1 have been used for topographic mapping. For this reason, Zonguldak test fields are an important area for applications of the high resolution imageries. The details which can be identified in the space images dominantly depends upon the ground resolution, available as ground sampling distance (GSD). In this study, high resolution imageries have been tested depending on the GSD and corresponding to the map scales for updating GIS database. © 2015 SPIE.
License of this version: Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden. Dieser Beitrag ist aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich.
Document Type: article
Publishing status: publishedVersion
Issue Date: 2015
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 84 42.00%
2 image of flag of United States United States 34 17.00%
3 image of flag of Turkey Turkey 12 6.00%
4 image of flag of Taiwan Taiwan 9 4.50%
5 image of flag of China China 8 4.00%
6 image of flag of Thailand Thailand 6 3.00%
7 image of flag of United Kingdom United Kingdom 6 3.00%
8 image of flag of Spain Spain 5 2.50%
9 image of flag of Peru Peru 4 2.00%
10 image of flag of India India 4 2.00%
    other countries 28 14.00%

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