Publication details
An Advanced Open Land Use Database as a Resource to Address Destination Earth Challenges
| Authors | |
|---|---|
| Year of publication | 2022 |
| Type | Article in Periodical |
| Magazine / Source | Land |
| MU Faculty or unit | |
| Citation | |
| web | https://www.mdpi.com/2073-445X/11/9/1552 |
| Doi | http://dx.doi.org/10.3390/land11091552 |
| Keywords | open data; land use; land cover; dataset integration; multi-level data; temporal data |
| Description | settingsOrder Article Reprints Open AccessArticle An Advanced Open Land Use Database as a Resource to Address Destination Earth Challenges by Michal Kepka 1ORCID,Pavel Hájek 1ORCID,Dmitrij Kožuch 2,Tomáš Řezník 3ORCID,Tomáš Mildorf 1,Karel Charvát 4,*ORCID,Martina Kepka Vichrová 1ORCID andJan Chytrý 3ORCID 1 Department of Geomatics, University of West Bohemia in Pilsen, Univerzitní 8, 301 00 Pilsen, Czech Republic 2 Plan4All z.s., K Rybníčku 557, 330 12 Horní Bříza, Czech Republic 3 Laboratory on Geoinformatics and Cartography, Department of Geography, Faculty of Science, Masaryk University, Kotlarska 2, 611 37 Brno, Czech Republic 4 WIRELESSINFO, Cholinská 19, 784 01 Litovel, Czech Republic * Author to whom correspondence should be addressed. Land 2022, 11(9), 1552; https://doi.org/10.3390/land11091552 Received: 2 August 2022 / Revised: 31 August 2022 / Accepted: 8 September 2022 / Published: 13 September 2022 (This article belongs to the Special Issue Land Use Mapping as the Base for Modeling and Earth Oriented Digital Twins) Download Browse Figures Review Reports Versions Notes Abstract Land-use and land-cover (LULC) themes are important for many domains, especially when they process environmental and socio-economic phenomena. The evolution of a land-use database called Open Land Use (OLU) started in 2013 and was continued by adapting many user requirements. The goal of this study was to design a new version of the OLU database that would better fit the gathered user requirements collected by projects using LULC data. A formal definition of the developed data model through Unified Modeling Language (UML) class diagrams, a feature catalogue based on ISO 19110 and SQL scripts for setting up the OLU database, are the key achievements of the presented paper. The presented research provides a multi-scale open database of LULC information supporting the DestinE initiative to develop a very-high-precision digital model of the earth. The novel spatio-temporal thematic approach also lies in modular views of the OLU database. |
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