Automatic Analysis of Cadastral Registration Status of Coastal Land Using Open Spatial Information Databases
Lee, J.; Kim, J.; Kim, H., and Wie, G., 2023. Automatic analysis of cadastral registration status of coastal land using open spatial information databases. In: Lee, J.L.; Lee, H.; Min, B.I.; Chang, J.-I.; Cho, G.T.; Yoon, J.-S., and Lee, J. (eds.), Multidisciplinary Approaches to Coastal and Marine...
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Veröffentlicht in: | Journal of coastal research 2024-01, Vol.116 (sp1), p.260-264 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Lee, J.; Kim, J.; Kim, H., and Wie, G., 2023. Automatic analysis of cadastral registration status of coastal land using open spatial information databases. In: Lee, J.L.; Lee, H.; Min, B.I.; Chang, J.-I.; Cho, G.T.; Yoon, J.-S., and Lee, J. (eds.), Multidisciplinary Approaches to Coastal and Marine Management. Journal of Coastal Research, Special Issue No. 116, pp. 260-264. Charlotte (North Carolina), ISSN 0749-0208. Coastal land adjacent to the coastline can be effectively managed by accurate topological identification of the coastline, a current-status survey, and registration on the cadastral map. However, traditional field surveys have limitations owing to poor site accessibility and large tidal differences, resulting in many unregistered lands around the coastline. This is particularly challenging for public lands that lack detailed registrations in coastal areas. To address this issue, the cadastral registration status of land was studied using automatic spatial analysis techniques applied to continuous cadastral and natural coastline maps, which constitute the latest open spatial information databases. Further, a qualitative analysis was performed using aerial ortho-photos to identify areas in which the boundaries of natural coastline and cadastral maps are mismatched. The results of this study allowed quantitative and qualitative analyses of the areas and current statuses of unregistered lands along the western coast of Jeollanam-do, Korea. Overall, this approach provides a more accurate and efficient way to manage coastal land by providing data on marine resources, marine environment, and marine pollution. |
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ISSN: | 0749-0208 1551-5036 |
DOI: | 10.2112/JCR-SI116-053.1 |