Projekter pr. år
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
Originalsprog | Engelsk |
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Artikelnummer | 195 |
Tidsskrift | Environmental Monitoring and Assessment |
Vol/bind | 197 |
Sider (fra-til) | 1-21 |
Antal sider | 21 |
ISSN | 1573-2959 |
DOI | |
Status | Udgivet - 25 jan. 2025 |
Projekter
- 1 Afsluttet
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BasemapH
Levin, G. (Projektdeltager), Groom, G. B. (Projektdeltager) & Svenningsen, S. R. (Projektdeltager)
01/01/2019 → 31/12/2019
Projekter: Projekt › Forskning