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Leaf Coverage Quantification for the Design of Vegetated Shading Geometries Using Algorithmic Modeling, Coupled with Imaging Software

Leaf Coverage Quantification for the Design of Vegetated Shading Geometries Using Algorithmic Modeling, Coupled with Imaging Software

Mela, Débora; Martinez, Andressa Carmo Pena; Zuin, Affonso Henrique Lima;

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One of the most significant parameters for obtaining positive benefits from vegetation is the leaf area index. This parameter influences the shading of the plant, acting as a solar control device in the architecture. In this sense, this work aims to collect average parameters of the percentage of leaf cover of climbing species, in a high tropical climate, through digital mapping and pixel counting, using the image software ImageJ for digital image processing and analysis. With these parameters, it will be possible to simulate the shading of the vines and predict their growth. This simulation can help designers make decisions such as mesh configurations, planting spacing, and regular maintenance. The research hopes to fill a gap in the literature on specific data on leaf cover of climbing species, which can serve as an input to the algorithmic modeling of green facades in architecture.

Full Article:

One of the most significant parameters for obtaining positive benefits from vegetation is the leaf area index. This parameter influences the shading of the plant, acting as a solar control device in the architecture. In this sense, this work aims to collect average parameters of the percentage of leaf cover of climbing species, in a high tropical climate, through digital mapping and pixel counting, using the image software ImageJ for digital image processing and analysis. With these parameters, it will be possible to simulate the shading of the vines and predict their growth. This simulation can help designers make decisions such as mesh configurations, planting spacing, and regular maintenance. The research hopes to fill a gap in the literature on specific data on leaf cover of climbing species, which can serve as an input to the algorithmic modeling of green facades in architecture.

Palavras-chave: Digital image processing; Algorithmic design; Green shading devices; Leaf area index; Pixel counting,

Palavras-chave: Digital image processing; Algorithmic design; Green shading devices; Leaf area index; Pixel counting,

DOI: 10.5151/sigradi2021-11

Referências bibliográficas
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Como citar:

Mela, Débora; Martinez, Andressa Carmo Pena; Zuin, Affonso Henrique Lima; "Leaf Coverage Quantification for the Design of Vegetated Shading Geometries Using Algorithmic Modeling, Coupled with Imaging Software", p. 1463-1474 . In: XXV International Conference of the Iberoamerican Society of Digital Graphics. São Paulo: Blucher, 2021.
ISSN 2318-6968, ISBN: 978-65-5550-232-9
DOI 10.5151/sigradi2021-11

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