Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W3, 85-89, 2015
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3-W3/85/2015/
doi:10.5194/isprsarchives-XL-3-W3-85-2015
© Author(s) 2015. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
19 Aug 2015
INTEGRATION OF REMOTE SENSING DATA AND BASIC GEODATA AT DIFFERENT SCALE LEVELS FOR IMPROVED LAND USE ANALYSES
G. Waldhoff, S. Eichfuss, and G. Bareth Institute of Geography, University of Cologne, Albertus-Magnus-Platz, 50923 Cologne, Germany
Keywords: GIS, Land Use, Digital Landscape Model, Cadastral Data, WorldView-2, ATKIS, ALK, Multi Data Approach Abstract. The classification of remote sensing data is a standard method to retrieve up-to-date land use data at various scales. However, through the incorporation of additional data using geographical information systems (GIS) land use analyses can be enriched significantly. In this regard, the Multi-Data Approach (MDA) for the integration of remote sensing classifications and official basic geodata for a regional scale as well as the achievable results are summarised. On this methodological basis, we investigate the enhancement of land use analyses at a very high spatial resolution by combining WorldView-2 remote sensing data and official cadastral data for Germany (the Automated Real Estate Map, ALK). Our first results show that manifold thematic information and the improved geometric delineation of land use classes can be gained even at a high spatial resolution.
Conference paper (PDF, 2065 KB)


Citation: Waldhoff, G., Eichfuss, S., and Bareth, G.: INTEGRATION OF REMOTE SENSING DATA AND BASIC GEODATA AT DIFFERENT SCALE LEVELS FOR IMPROVED LAND USE ANALYSES, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W3, 85-89, doi:10.5194/isprsarchives-XL-3-W3-85-2015, 2015.

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