Volume XLII-4/W14
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W14, 23–30, 2019
https://doi.org/10.5194/isprs-archives-XLII-4-W14-23-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W14, 23–30, 2019
https://doi.org/10.5194/isprs-archives-XLII-4-W14-23-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  23 Aug 2019

23 Aug 2019

URBAN GEO BIG DATA

M. A. Brovelli1,3, P. Boccardo2, G. Bordogna3, A. Pepe3, M. Crespi4, M. Munafò5, and F. Pirotti6 M. A. Brovelli et al.
  • 1Politecnico di Milano, Department DICA, Politecnico di Milano, Italy
  • 2Politecnico di Torino, Department DIST, Italy
  • 3CNR IREA - Istituto per il Rilevamento Elettromagnetico dell’Ambiente, Italy
  • 4Sapienza University of Rome, Rome, Italy
  • 5ISPRA - National Institute for Environmental Protection and Research, Rome, Italy
  • 6CIRGEO - Interdepartmental Research Center of Geomatics, Department TESAF, University of Padova, Italy

Keywords: Big Geodata, Urban, Infrastructure, Mobility, Soil Consumption, Displacement

Abstract. 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.

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.