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Novel Use of 3D Geoinformation to Identify Urban Farming Sites


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Filip Biljecki of the National University of Singapore showcasing the urban digital twin used in the study.

A study by researchers at the National University of Singapore found that three-dimensional city models and urban digital twins could help identify high-rise buildings suitable for urban farming based on sunlight availability.

Credit: NUS News

A study by researchers at the National University of Singapore looked at whether three-dimensional (3D) city models and urban digital twins could help identify high-rise buildings suitable for urban farming based on sunlight availability.

The researchers assessed whether outdoor corridors, façades, and windows receive enough photosynthetically active radiation (PAR) to grow crops, and which crops can be grown at a specific site based on PAR conditions.

They validated the simulations through field surveys, and found such 3D city models may be more efficient than field surveys in assessing urban farming conditions, which they said eventually could be scaled to cover entire cities.

From NUS News (Singapore)
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Abstracts Copyright © 2021 SmithBucklin, Washington, DC, USA


 

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