Methods of quantifying the visual filtering of vegetation to minimize the impact of buildings on the landscape

Detalhes bibliográficos
Autor(a) principal: Velarde, Jacinto Garrido
Data de Publicação: 2018
Outros Autores: Blanco, Julio Hernández, Aliseda, Julián Mora
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.5/29258
Resumo: Vegetation is used by landscape planners and designers to reduce the visual impact of buildings. The choice of the species to be used depends on the characteristics of the crown canopy filtering. Nevertheless, the information on crown canopy filtering is scarce. This work examines the degree of filtering in canopy architecture of Quercus pyrenaica. The district of the Ambroz Valley, in Cáceres Province was chosen as the experimental area for the purposes of this research, and here Quercus pyrenaica were chosen as the most representative species. Two methods were selected for this study: hemispheric photography and vertical photography. All data was gathered during the summer as this is when the canopy of the species analyzed reaches its maximum leaf area index. The main aim of this research is to compare the hemispherical photographic method for calculating the amount of light that passes through the canopy, with that of vertical photography to obtain filtering percentages in plants.
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spelling Methods of quantifying the visual filtering of vegetation to minimize the impact of buildings on the landscapeVegetation; Filtering; Visual Impact; Landscape Integration; Photographic Treatment; Quercus PyrenaicaVegetation is used by landscape planners and designers to reduce the visual impact of buildings. The choice of the species to be used depends on the characteristics of the crown canopy filtering. Nevertheless, the information on crown canopy filtering is scarce. This work examines the degree of filtering in canopy architecture of Quercus pyrenaica. The district of the Ambroz Valley, in Cáceres Province was chosen as the experimental area for the purposes of this research, and here Quercus pyrenaica were chosen as the most representative species. Two methods were selected for this study: hemispheric photography and vertical photography. All data was gathered during the summer as this is when the canopy of the species analyzed reaches its maximum leaf area index. The main aim of this research is to compare the hemispherical photographic method for calculating the amount of light that passes through the canopy, with that of vertical photography to obtain filtering percentages in plants.Repositório da Universidade de LisboaVelarde, Jacinto GarridoBlanco, Julio HernándezAliseda, Julián Mora2023-11-02T14:34:27Z20182018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/29258enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-05T01:31:43Zoai:www.repository.utl.pt:10400.5/29258Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:26:45.750421Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Methods of quantifying the visual filtering of vegetation to minimize the impact of buildings on the landscape
title Methods of quantifying the visual filtering of vegetation to minimize the impact of buildings on the landscape
spellingShingle Methods of quantifying the visual filtering of vegetation to minimize the impact of buildings on the landscape
Velarde, Jacinto Garrido
Vegetation; Filtering; Visual Impact; Landscape Integration; Photographic Treatment; Quercus Pyrenaica
title_short Methods of quantifying the visual filtering of vegetation to minimize the impact of buildings on the landscape
title_full Methods of quantifying the visual filtering of vegetation to minimize the impact of buildings on the landscape
title_fullStr Methods of quantifying the visual filtering of vegetation to minimize the impact of buildings on the landscape
title_full_unstemmed Methods of quantifying the visual filtering of vegetation to minimize the impact of buildings on the landscape
title_sort Methods of quantifying the visual filtering of vegetation to minimize the impact of buildings on the landscape
author Velarde, Jacinto Garrido
author_facet Velarde, Jacinto Garrido
Blanco, Julio Hernández
Aliseda, Julián Mora
author_role author
author2 Blanco, Julio Hernández
Aliseda, Julián Mora
author2_role author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Velarde, Jacinto Garrido
Blanco, Julio Hernández
Aliseda, Julián Mora
dc.subject.por.fl_str_mv Vegetation; Filtering; Visual Impact; Landscape Integration; Photographic Treatment; Quercus Pyrenaica
topic Vegetation; Filtering; Visual Impact; Landscape Integration; Photographic Treatment; Quercus Pyrenaica
description Vegetation is used by landscape planners and designers to reduce the visual impact of buildings. The choice of the species to be used depends on the characteristics of the crown canopy filtering. Nevertheless, the information on crown canopy filtering is scarce. This work examines the degree of filtering in canopy architecture of Quercus pyrenaica. The district of the Ambroz Valley, in Cáceres Province was chosen as the experimental area for the purposes of this research, and here Quercus pyrenaica were chosen as the most representative species. Two methods were selected for this study: hemispheric photography and vertical photography. All data was gathered during the summer as this is when the canopy of the species analyzed reaches its maximum leaf area index. The main aim of this research is to compare the hemispherical photographic method for calculating the amount of light that passes through the canopy, with that of vertical photography to obtain filtering percentages in plants.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-01-01T00:00:00Z
2023-11-02T14:34:27Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.5/29258
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dc.language.iso.fl_str_mv eng
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