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Article: Can you see green? Assessing the visibility of urban forests in cities

TitleCan you see green? Assessing the visibility of urban forests in cities
Authors
KeywordsVertical profile
Urban forestry
Object-based image analysis
Structure indices
Sensory functions
Issue Date2009
Citation
Landscape and Urban Planning, 2009, v. 91, n. 2, p. 97-104 How to Cite?
AbstractThe Green View index was developed to evaluate the visibility of urban forests. It was estimated through a combination of field surveys and photography interpretation and tested in Berkeley, California. The results showed that the overall Green View value in Berkeley was 24.79%. It has a strong correlation (R2 = 0.86) with the canopy cover of tree/shrubs, which was 31.49%. Besides the absolute amount of canopy cover, Green View is also influenced by the distribution pattern of trees. The ANOVA analysis indicated that the size of trees, the distance between trees and viewers, the existence of vegetation other than trees and shrubs all had a significant impact on values of Green View. The study shows that the use of large-size trees is important for creating a view with more greenery in a city. Green View can be used to evaluate the visual impact of various planning and management practices on urban forests. © 2008 Elsevier B.V. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/296646
ISSN
2021 Impact Factor: 8.119
2020 SCImago Journal Rankings: 1.938
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorYang, Jun-
dc.contributor.authorZhao, Linsen-
dc.contributor.authorMcbride, Joe-
dc.contributor.authorGong, Peng-
dc.date.accessioned2021-02-25T15:16:21Z-
dc.date.available2021-02-25T15:16:21Z-
dc.date.issued2009-
dc.identifier.citationLandscape and Urban Planning, 2009, v. 91, n. 2, p. 97-104-
dc.identifier.issn0169-2046-
dc.identifier.urihttp://hdl.handle.net/10722/296646-
dc.description.abstractThe Green View index was developed to evaluate the visibility of urban forests. It was estimated through a combination of field surveys and photography interpretation and tested in Berkeley, California. The results showed that the overall Green View value in Berkeley was 24.79%. It has a strong correlation (R2 = 0.86) with the canopy cover of tree/shrubs, which was 31.49%. Besides the absolute amount of canopy cover, Green View is also influenced by the distribution pattern of trees. The ANOVA analysis indicated that the size of trees, the distance between trees and viewers, the existence of vegetation other than trees and shrubs all had a significant impact on values of Green View. The study shows that the use of large-size trees is important for creating a view with more greenery in a city. Green View can be used to evaluate the visual impact of various planning and management practices on urban forests. © 2008 Elsevier B.V. All rights reserved.-
dc.languageeng-
dc.relation.ispartofLandscape and Urban Planning-
dc.subjectVertical profile-
dc.subjectUrban forestry-
dc.subjectObject-based image analysis-
dc.subjectStructure indices-
dc.subjectSensory functions-
dc.titleCan you see green? Assessing the visibility of urban forests in cities-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.landurbplan.2008.12.004-
dc.identifier.scopuseid_2-s2.0-64749095022-
dc.identifier.volume91-
dc.identifier.issue2-
dc.identifier.spage97-
dc.identifier.epage104-
dc.identifier.isiWOS:000266155100005-
dc.identifier.issnl0169-2046-

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