Using OpenStreetMap (OSM) to enhance the classification of local climate zones in the framework of WUDAPT

Fonte, C.C., Lopes, P., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, & Bechtel, B. (2019). Using OpenStreetMap (OSM) to enhance the classification of local climate zones in the framework of WUDAPT. Urban Climate 28 e100456. 10.1016/j.uclim.2019.100456.

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Abstract

The World Urban Database and Access Portal Tools (WUDAPT) project has adopted the LocalClimate Zone (LCZ) scheme as a basic and consistent description of form and function of cities atneighbourhood scale. LCZs are classified using crowdsourced training samples, open data andopen source software but the quality of the maps still needs improvement. The aim of this paperis to investigate the use of data from OpenStreetMap (OSM) to enhance the development of LCZs,complement the existing data sources, and improve the accuracy of the maps. Various featureswere derived from the OSM database and combined with seasonal LCZ maps. Therefore amethodology was developed and tested for Hamburg, Germany, using a fuzzy approach and thena weighted combination method was applied to combine the inputs from OSM with each of theseasonal LCZ maps. The results showed that improvements can be achieved for certain classes,either in terms of accuracy, e.g. rectifying the misclassification of agricultural areas as heavyindustry, or representation on the map, e.g. a more detailed water network. The approach developedis flexible and allows for knowledge about which data sources are more reliable as inputsto the combination and weighting process.

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