The “Urban Geomatics for Bulk Information Generation, Data Assessment and Technology Awareness” Project: Detection, Representation and Analysis of the Urban Scenario Changes

Pepe, Antonio; Bonano, Manuela; Bordogna, Gloria; Brovelli, M. A.; Calò, Federica; Carrara, Paola; Congedo, Luca; Frigerio, Luca; Imperatore, Pasquale; Lanari, R.; Lanucara, Simone; Busetto, Lorenzo; Manzo, M.; Munafò, Michele

doi:10.1109/igarss.2018.8518843

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Generation Of Ground Displacement Time-series1

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“…Within the project, the interest is on studying the historical deformation phenomena that affected some urban areas in Italy. To the purpose, long-term displacement time-series from 1992 to 2011 have been obtained by applying the SBAS technique to sequences of archived SAR images collected by the ERS and ENVISAT satellites over the cities of the projects (Pepe et al, 2018).…”

Section: Generation Of Ground Displacement Time-seriesmentioning

confidence: 99%

Urban Geo Big Data

Brovelli

Boccardo

Bordogna

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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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.

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Section: Generation Of Ground Displacement Time-seriesmentioning

confidence: 99%