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Quantifying the City’s Green Area Potential Gain Using Remote Sensing Data

Interdisciplinary Centre of Social Sciences (CICS.NOVA), Faculty of Social Sciences and Humanities, (FCSH/NOVA), Av. de Berna, 26 C, 1069-061 Lisboa, Portugal
CIIMAR Interdisciplinary Centre for Marine and Environmental Research, Av. General Norton de Matos s/n, 4450-208 Matosinhos, Portugal
Author to whom correspondence should be addressed.
Academic Editor: Brian Deal
Sustainability 2016, 8(12), 1247;
Received: 20 October 2016 / Revised: 22 November 2016 / Accepted: 22 November 2016 / Published: 30 November 2016
(This article belongs to the Special Issue Urban Sustainability and Planning Support Systems)
Information about green spaces available in a city is essential for urban planning. Urban green areas are generally assessed through environmental indicators that reflect the city’s quality of life and urban comfort. A methodology based on 3D measure and analysis of green urban areas at the city scale is presented. Two products are proposed: (1) measuring current vegetation cover at ground level through object-oriented classification of WorldView-2 imagery; and (2) estimating potential green cover at rooftop level using 3D data obtained by LiDAR sensor. The methodology, implemented in Lisbon, Portugal, demonstrates that: (1) remote sensing imagery provides powerful tools for master planning and policy analysis regarding green urban area expansion; and (2) measures of urban sustainability cannot be solely based on indicators obtained from 2D geographical information. In fact, 2D urban indicators should be complemented by 3D modelling of geographic data. View Full-Text
Keywords: green urban areas; LiDAR; green roofs; GIS green urban areas; LiDAR; green roofs; GIS
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MDPI and ACS Style

Santos, T.; Tenedório, J.A.; Gonçalves, J.A. Quantifying the City’s Green Area Potential Gain Using Remote Sensing Data. Sustainability 2016, 8, 1247.

AMA Style

Santos T, Tenedório JA, Gonçalves JA. Quantifying the City’s Green Area Potential Gain Using Remote Sensing Data. Sustainability. 2016; 8(12):1247.

Chicago/Turabian Style

Santos, Teresa, José A. Tenedório, and José A. Gonçalves. 2016. "Quantifying the City’s Green Area Potential Gain Using Remote Sensing Data" Sustainability 8, no. 12: 1247.

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