Using OpenStreetMap to Create Land Use and Land Cover Maps

Cidália C. Fonte · Joaquim Patriarca · Marco Minghini · Vyron Antoniou · Linda See · Maria Antonia Brovelli

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Geographic Information Systems Studies Remote Sensing and Land Use Automated Road and Building Extraction

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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References

2010How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets 2010Quality Assessment of the French OpenStreetMap Dataset 2016Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information 2014Quality assessment for building footprints data on OpenStreetMap 2010A Comparative Study of Proprietary Geodata and Volunteered Geographic Information for Germany 2013Measuring Completeness of Building Footprints in OpenStreetMap over Space and Time 2017A Review of OpenStreetMap Data 2010Comparison of the accuracy of OpenStreetMap for Ireland with Google Maps and Bing Maps

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