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Flavio Lupia

Researcher at Canadian Real Estate Association

Publications -  43
Citations -  881

Flavio Lupia is an academic researcher from Canadian Real Estate Association. The author has contributed to research in topics: Land use & Urban agriculture. The author has an hindex of 12, co-authored 38 publications receiving 602 citations. Previous affiliations of Flavio Lupia include Agricultural & Applied Economics Association.

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Journal ArticleDOI

Food first: COVID-19 outbreak and cities lockdown a booster for a wider vision on urban agriculture

Giuseppe Pulighe, +1 more
- 19 Jun 2020 - 
TL;DR: In this article, the authors claim that urban agriculture in developed countries should be fostered with emerging growing practices and edible green infrastructures, such as vertical farming, hydroponics, aeroponic, aquaponic, and rooftop greenhouses Notwithstanding the limitations of traditional urban farming activities, innovative and disruptive solutions and short food supply chains of fresh agricultural products might play a positive role in lessening uncertainties from global systemic risks.
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Usability of VGI for validation of land cover maps

TL;DR: The quality procedures used by the platforms that collect VGI to increase and control data quality are reviewed and a framework for addressing VGI quality assessment is proposed.
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Horizontal accuracy assessment of very high resolution Google Earth images in the city of Rome, Italy

TL;DR: The results show that GE VHR imageries of Rome have an overall positional accuracy close to 1 m, sufficient for deriving ground truth samples, measurements, and large-scale planimetric maps.
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Insights and opportunities from mapping ecosystem services of urban green spaces and potentials in planning

TL;DR: In this article, the authors explore recent progress in mapping ecosystem services provided by urban green infrastructures (GI) and discuss how GI can contribute to promoting cohesion, resilience and livability toward sustainable and green cities.
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Investigating the feasibility of geo-Tagged photographs as sources of land cover input data

TL;DR: An inventory of the metadata that are collected with geo-tagged photographs is provided and what elements would be essential, desirable, or unnecessary for three use cases related to land cover: Calibration, validation and verification.