Projekter pr. år
Abstrakt
This report records the methods and the results of a pilot project aimed at automated production of machine-readable spatial datasets for land categories from Danish topographical maps from the late 1800s. The study was undertaken for two study areas in Jutland, covering around 300 km². Target land categories were: heath, sand dune, wetland, forest and water bodies. The automated geo-data production comprised a combination of object based image analysis, vector GIS, colour segmentation and machine learning processes. Results of an accuracy assessment indicate accuracies that for most categories are around 90 % or higher. A change assessment for the period from the late 1800s until today, revealed a dynamic characterised by decrease in open habitat types due to cultivation and afforestation. We conclude, that automated production of LULC category digital geo-data from historical maps offers a less time consuming and consequently more resource efficient alternative to traditional manual vectorisation
Originalsprog | Engelsk |
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Forlag | Aarhus University, DCE – Danish Centre for Environment and Energy |
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Vol/bind | 389 |
Antal sider | 121 |
ISBN (Trykt) | 978-87-7156-511-9 |
Status | Udgivet - 2 sep. 2020 |
Navn | Scientific Report from DCE – Danish Centre for Environment and Energy |
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Nummer | 389 |
ISSN | 2245-0203 |
Projekter
- 1 Afsluttet
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BasemapH
Levin, G., Groom, G. B. & Svenningsen, S. R.
01/01/2019 → 31/12/2019
Projekter: Projekt › Forskning