An Advanced Open Land Use Database as a Resource to Address Destination Earth Challenges

Michal Kepka, Pavel Hájek, Dmitrij Kožuch, Tomáš Řezník, Tomáš Mildorf, Karel Charvát (), Martina Kepka Vichrová and Jan Chytrý
Additional contact information
Michal Kepka: Department of Geomatics, University of West Bohemia in Pilsen, Univerzitní 8, 301 00 Pilsen, Czech Republic
Pavel Hájek: Department of Geomatics, University of West Bohemia in Pilsen, Univerzitní 8, 301 00 Pilsen, Czech Republic
Dmitrij Kožuch: Plan4All z.s., K Rybníčku 557, 330 12 Horní Bříza, Czech Republic
Tomáš Řezník: Laboratory on Geoinformatics and Cartography, Department of Geography, Faculty of Science, Masaryk University, Kotlarska 2, 611 37 Brno, Czech Republic
Tomáš Mildorf: Department of Geomatics, University of West Bohemia in Pilsen, Univerzitní 8, 301 00 Pilsen, Czech Republic
Karel Charvát: WIRELESSINFO, Cholinská 19, 784 01 Litovel, Czech Republic
Martina Kepka Vichrová: Department of Geomatics, University of West Bohemia in Pilsen, Univerzitní 8, 301 00 Pilsen, Czech Republic
Jan Chytrý: Laboratory on Geoinformatics and Cartography, Department of Geography, Faculty of Science, Masaryk University, Kotlarska 2, 611 37 Brno, Czech Republic

Land, 2022, vol. 11, issue 9, 1-16

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.

Keywords: open data; land use; land cover; dataset integration; multi-level data; temporal data (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:11:y:2022:i:9:p:1552-:d:913798

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