ISPRS-Archives ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS-Archives Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 2194-9034 Copernicus Publications Göttingen, Germany 10.5194/isprs-archives-XLII-4-W14-23-2019 URBAN GEO BIG DATA Brovelli M. A. 1 3 Boccardo P. 2 Bordogna G. 3 https://orcid.org/0000-0002-6775-753X Pepe A. 3 https://orcid.org/0000-0002-7843-3565 Crespi M. 4 https://orcid.org/0000-0002-0592-6182 Munafò M. 5 Pirotti F. 6 https://orcid.org/0000-0002-4796-6406 Politecnico di Milano, Department DICA, Politecnico di Milano, Italy Politecnico di Torino, Department DIST, Italy CNR IREA - Istituto per il Rilevamento Elettromagnetico dell’Ambiente, Italy Sapienza University of Rome, Rome, Italy ISPRA - National Institute for Environmental Protection and Research, Rome, Italy CIRGEO - Interdepartmental Research Center of Geomatics, Department TESAF, University of Padova, Italy 23 08 2019 XLII-4/W14 23 30 Copyright: © 2019 M. A. Brovelli et al. 2019 This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/ This article is available from https://isprs-archives.copernicus.org/articles/isprs-archives-XLII-4-W14-23-2019.html The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/isprs-archives-XLII-4-W14-23-2019.pdf

<p>The paper deals with the general presentation of the Urban GEO BIG DATA, a collaborative acentric and distributed Free and Open Source (FOS) platform consisting of several components: local data nodes for data and related service Web deploy; a visualization node for data fruition; a catalog node for data discovery; a CityGML modeler; data-rich viewers based on virtual globes; an INSPIRE metadata management system enriched with quality indicators for each dataset.</p><p>Three use cases in five Italian cities (Turin, Milan, Padua, Rome, and Naples) are examined: 1) urban mobility; 2) land cover and soil consumption at different resolutions; 3) displacement time series. Besides the case studies, the architecture of the system and its components will be presented.</p>