Assessing spatially explicit long-term landscape dynamics based on automated production of land category layers from Danish late 19th century topographic maps
Gregor Levin,
Geoff Groom,
Stig Roar Svenningsen
Abstract:Historical topographical maps contain valuable, spatially and thematically detailed information about past landscapes. Yet, for analyses of landscape dynamics through geographical information systems, it is necessary to "unlock" this information via map processing. For two study areas in northern and central Jutland, Denmark, we apply object-based image analysis, vector GIS, colour image segmentation and machine learning processes to produce machine readable layers for the land use and land cover categories fo… Show more
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