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Measurement and valuation of urban greenness: Remote sensing and hedonic applications to Lisbon, Portugal

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  • Franco, Sofia F.
  • Macdonald, Jacob L.

Abstract

This paper explores the role of remote sensing techniques in capturing urban environmental data in the form of tree canopy coverage and measures of urban greenery. Using a classification algorithm, we identify tree canopy coverage in Lisbon, Portugal, to be approximately 8%. Our results have an accuracy rating of approximately 90% highlighting the benefits of this technique in capturing novel forms of data.

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  • Franco, Sofia F. & Macdonald, Jacob L., 2018. "Measurement and valuation of urban greenness: Remote sensing and hedonic applications to Lisbon, Portugal," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 156-180.
  • Handle: RePEc:eee:regeco:v:72:y:2018:i:c:p:156-180
    DOI: 10.1016/j.regsciurbeco.2017.03.002
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    11. Zambrano-Monserrate, Manuel A. & Ruano, María Alejandra & Yoong-Parraga, Cristina & Silva, Carlos A., 2021. "Urban green spaces and housing prices in developing countries: A Two-stage quantile spatial regression analysis," Forest Policy and Economics, Elsevier, vol. 125(C).
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    18. Gonçalves, Duarte & Peralta, Susana & Pereira dos Santos, João, 2022. "Short-Term Rental Bans and Housing Prices: Quasi-Experimental Evidence from Lisbon," IZA Discussion Papers 15706, Institute of Labor Economics (IZA).
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    More about this item

    Keywords

    Q51; R21; Environmental amenities; Urban greenness; Tree canopy; Hedonic pricing; Remote sensing;
    All these keywords.

    JEL classification:

    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

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