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

Author

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  • Teresa Santos

    (Interdisciplinary Centre of Social Sciences (CICS.NOVA), Faculty of Social Sciences and Humanities, (FCSH/NOVA), Av. de Berna, 26 C, 1069-061 Lisboa, Portugal)

  • José António Tenedório

    (Interdisciplinary Centre of Social Sciences (CICS.NOVA), Faculty of Social Sciences and Humanities, (FCSH/NOVA), Av. de Berna, 26 C, 1069-061 Lisboa, Portugal)

  • José Alberto Gonçalves

    (CIIMAR Interdisciplinary Centre for Marine and Environmental Research, Av. General Norton de Matos s/n, 4450-208 Matosinhos, Portugal)

Abstract

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.

Suggested Citation

  • Teresa Santos & José António Tenedório & José Alberto Gonçalves, 2016. "Quantifying the City’s Green Area Potential Gain Using Remote Sensing Data," Sustainability, MDPI, vol. 8(12), pages 1-16, November.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:12:p:1247-:d:84085
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    References listed on IDEAS

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    Cited by:

    1. Nan Xu & Jiancheng Luo & Jin Zuo & Xiaodong Hu & Jing Dong & Tianjun Wu & Songliang Wu & Hao Liu, 2020. "Accurate Suitability Evaluation of Large-Scale Roof Greening Based on RS and GIS Methods," Sustainability, MDPI, vol. 12(11), pages 1-23, May.
    2. Daniel Mora-Melià & Carlos S. López-Aburto & Pablo Ballesteros-Pérez & Pedro Muñoz-Velasco, 2018. "Viability of Green Roofs as a Flood Mitigation Element in the Central Region of Chile," Sustainability, MDPI, vol. 10(4), pages 1-19, April.
    3. Kinga Kimic & Albert Fekete, 2022. "The Ratio of Biologically Vital Areas as a Measure of the Sustainability of Urban Parks Using the Example of Budapest, Hungary," Resources, MDPI, vol. 11(5), pages 1-16, May.
    4. Maria Matos Silva & João Pedro Costa, 2017. "Urban Flood Adaptation through Public Space Retrofits: The Case of Lisbon (Portugal)," Sustainability, MDPI, vol. 9(5), pages 1-30, May.

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