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Using OpenStreetMap to Create Land Use and Land Cover Maps: Development of an Application

Using OpenStreetMap to Create Land Use and Land Cover Maps: Development of an Application

Cidália Costa Fonte, Joaquim António Patriarca, Marco Minghini, Vyron Antoniou, Linda See, Maria Antonia Brovelli
ISBN13: 9781522524465|ISBN10: 1522524460|EISBN13: 9781522524472
DOI: 10.4018/978-1-5225-2446-5.ch007
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MLA

Fonte, Cidália Costa, et al. "Using OpenStreetMap to Create Land Use and Land Cover Maps: Development of an Application." Volunteered Geographic Information and the Future of Geospatial Data, edited by Cláudio Elízio Calazans Campelo, et al., IGI Global, 2017, pp. 113-137. https://doi.org/10.4018/978-1-5225-2446-5.ch007

APA

Fonte, C. C., Patriarca, J. A., Minghini, M., Antoniou, V., See, L., & Brovelli, M. A. (2017). Using OpenStreetMap to Create Land Use and Land Cover Maps: Development of an Application. In C. Calazans Campelo, M. Bertolotto, & P. Corcoran (Eds.), Volunteered Geographic Information and the Future of Geospatial Data (pp. 113-137). IGI Global. https://doi.org/10.4018/978-1-5225-2446-5.ch007

Chicago

Fonte, Cidália Costa, et al. "Using OpenStreetMap to Create Land Use and Land Cover Maps: Development of an Application." In Volunteered Geographic Information and the Future of Geospatial Data, edited by Cláudio Elízio Calazans Campelo, Michela Bertolotto, and Padraig Corcoran, 113-137. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-2446-5.ch007

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Abstract

OpenStreetMap (OSM) is a bottom up community-driven initiative to create a global map of the world. Yet the application of OSM to land use and land cover (LULC) mapping is still largely unexploited due to problems with inconsistencies in the data and harmonization of LULC nomenclatures with OSM. This chapter outlines an automated methodology for creating LULC maps using the nomenclature of two European LULC products: the Urban Atlas (UA) and CORINE Land Cover (CLC). The method is applied to two regions in London and Paris. The results show that LULC maps with a level of detail similar to UA can be obtained for the urban regions, but that OSM has limitations for conversion into the more detailed non-urban classes of the CLC nomenclature. Future work will concentrate on developing additional rules to improve the accuracy of the transformation and building an online system for processing the data.

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