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Mapping and Monitoring Urban Environment through Sentinel-1 SAR Data: A Case Study in the Veneto Region (Italy)

1
Engineering Ingegneria Informatica S.p.A., 30175 Venice, Italy
2
Department of Civil, Environmental and Architectural Engineering, University of Padua, 35131 Padua, Italy
3
Regione del Veneto, Area Tutela e Sviluppo del Territorio—U.O. Pianificazione Territoriale, 30121 Venice, Italy
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CISAS, University of Padua, 35131 Padua, Italy
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Department of Geosciences, University of Padua, 35131 Padua, Italy
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2020, 9(6), 375; https://doi.org/10.3390/ijgi9060375
Received: 18 April 2020 / Revised: 3 June 2020 / Accepted: 5 June 2020 / Published: 7 June 2020
(This article belongs to the Special Issue Earth Observation Data in Sustainable Urban Science Research)
Focusing on a sustainable and strategic urban development, local governments and public administrations, such as the Veneto Region in Italy, are increasingly addressing their urban and territorial planning to meet national and European policies, along with the principles and goals of the 2030 Agenda for the Sustainable Development. In this regard, we aim at testing a methodology based on a semi-automatic approach able to extract the spatial extent of urban areas, referred to as “urban footprint”, from satellite data. In particular, we exploited Sentinel-1 radar imagery through multitemporal analysis of interferometric coherence as well as supervised and non-supervised classification algorithms. Lastly, we compared the results with the land cover map of the Veneto Region for accuracy assessments. Once properly processed and classified, the radar images resulted in high accuracy values, with an overall accuracy ranging between 85% and 90% and percentages of urban footprint differing by less than 1%–2% with respect to the values extracted from the reference land cover map. These results provide not only a reliable and useful support for strategic urban planning and monitoring, but also potentially identify a solid organizational dataflow process to prepare geographic indicators that will help answering the needs of the 2030 Agenda (in particular the goal 11 “Sustainable Cities and Communities”). View Full-Text
Keywords: urban environment; urban planning; Sentinel; SAR; urban footprint; land cover; 2030 Agenda; SDG urban environment; urban planning; Sentinel; SAR; urban footprint; land cover; 2030 Agenda; SDG
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MDPI and ACS Style

Semenzato, A.; Pappalardo, S.E.; Codato, D.; Trivelloni, U.; De Zorzi, S.; Ferrari, S.; De Marchi, M.; Massironi, M. Mapping and Monitoring Urban Environment through Sentinel-1 SAR Data: A Case Study in the Veneto Region (Italy). ISPRS Int. J. Geo-Inf. 2020, 9, 375.

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