Articles | Volume 15, issue 19
Model evaluation paper
11 Oct 2022
Model evaluation paper |  | 11 Oct 2022

Estimation of missing building height in OpenStreetMap data: a French case study using GeoClimate 0.0.1

Jérémy Bernard, Erwan Bocher, Elisabeth Le Saux Wiederhold, François Leconte, and Valéry Masson

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Cited articles

Bernabé, A., Musy, M., Andrieu, H., and Calmet, I.: Radiative properties of the urban fabric derived from surface form analysis: A simplified solar balance model, Sol. Energy, 122, 156–168, 2015. a
Bernard, J., Bocher, E., Petit, G., and Palominos, S.: Sky View Factor Calculation in Urban Context: Computational Performance and Accuracy Analysis of Two Open and Free GIS Tools, Climate, 6, 60,, 2018. a
Bernard, J., Bocher, E., Wiederhold, E. L. S., Leconte, F., Masson, V., and Noûs, C.: Estimated height of the OpenStreetMap buildings of 24 French communes using the GeoClimate Software (version 0.0.1), Zenodo,, 2021. a, b, c, d
Biljecki, F., Ledoux, H., and Stoter, J.: Generating 3D city models without elevation data, Computers, Environment and Urban Systems, 64, 1–18, 2017. a, b, c, d
Bocher E., Bernard J., Le Saux Wiederhold E., Leconte F., Petit G., Palominos S., and Noûs C.: GeoClimate: a Geospatial processing toolbox for environmental and climate studies, Zenodo,, 2021a. a, b
Short summary
OpenStreetMap is a collaborative project aimed at creaing a free dataset containing topographical information. Since these data are available worldwide, they can be used as standard data for geoscience studies. However, most buildings miss the height information that constitutes key data for numerous fields (urban climate, noise propagation, air pollution). In this work, the building height is estimated using statistical modeling using indicators that characterize the building's environment.