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The process of the semi-automated scoring of urbanization

The ‘UrbanizationScore’ software generates semi-automated scores of habitat urbanization based on the method by Czúni et al. (2012). In short, it takes a 1 km2 area around each location of selected geographical coordinates, downloads the respective aerial images from GoogleMaps, and scores the abundance of vegetation, buildings and paved roads within each 100×100m cell of each image. These scores are then used for calculating landscape-cover variables which are then combined by principal component analysis (PCA) into a score of urbanization for each area. This urbanization score ranks the study areas along the urbanization gradient objectively yet similarly to the ranking by human observers. For more detail, see Liker et al. (2008).

The software has been developed in the Image Processing Laboratory at the University of Pannonia.
Thanks to András Kiss, Gergely András Nagy, István Szabó, Botond Both, Gábor Szalay, Dániel Keszey, Tamás Laukó and Dániel Giczi.
Bugs report and suggestions atThis email address is being protected from spambots. You need JavaScript enabled to view it..

[download software 12/12/2017]

[download manual (5/10/2019] [download test project]

If you use this software please cite:

Ágnes Lipovits, László Czúni, Gábor Seress, “A Tool for Quantifying the Urban Gradient” in Athens: ATINER'S Conference Paper Series, No: PLA2015-1709

Gábor Seress, Ágnes Lipovits, Veronika Bókony, László Czúni, Quantifying the urban gradient: A practical method for broad measurements, Landscape and Urban Planning, Volume 131, November 2014, Pages 42-50, ISSN 0169-2046,

Czúni, L., Lipovits, Á., & Seress, G. (2012). Estimation of Urbanization Using Visual Features of Satellite Images. Proceedings of the AGILE'2012 International Conference on Geographic Information Science, Avignon, April, 24-27, 2012, pp. 233–238.