Assessing spatially explicit long-term landscape dynamics based on automated production of land category layers from Danish late nineteenth-century topographic maps in comparison with contemporary maps

Gregor Levin, Geoffrey Brian Groom, Stig Roar Svenningsen

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Abstract

Historical topographical maps containvaluable, spatially and thematically detailed informa-tion about past landscapes. Yet, for analyses of land-scape dynamics through geographical informationsystems, it is necessary to “unlock” this informationvia map processing. For two study areas in northernand central Jutland, Denmark, we apply object-basedimage analysis, vector GIS, colour image segmen-tation, and machine learning processes to producemachine-readable layers for the land use and landcover categories forest, wetland, heath, dune sand,and water bodies from topographic maps from thelate nineteenth century. Obtained overall accuracywas 92.3%. A comparison with a contemporarymap revealed spatially explicit landscape dynamics
OriginalsprogEngelsk
Artikelnummer195
TidsskriftEnvironmental Monitoring and Assessment
Vol/bind197
Sider (fra-til)1-21
Antal sider21
ISSN1573-2959
DOI
StatusUdgivet - 25 jan. 2025

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