Quantification of urban greenery using hemisphere-view panoramas with a green cover index

Urban greenery has positive impacts on the well-being of residents and provides vital ecosystem services. A quantitative evaluation of full-view green coverage at the human scale can guide green space planning and management. We developed a still camera to collect hemisphere-view panoramas (HVPs) to...

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Autores principales: Yonglin Zhang, Shanlin Li, Xiao Fu, Rencai Dong
Formato: article
Lenguaje:EN
Publicado: Taylor & Francis Group 2021
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Acceso en línea:https://doaj.org/article/b8fac903cf1e4aab97eb51cb29b69746
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spelling oai:doaj.org-article:b8fac903cf1e4aab97eb51cb29b697462021-12-02T16:06:38ZQuantification of urban greenery using hemisphere-view panoramas with a green cover index2332-887810.1080/20964129.2021.1929502https://doaj.org/article/b8fac903cf1e4aab97eb51cb29b697462021-01-01T00:00:00Zhttp://dx.doi.org/10.1080/20964129.2021.1929502https://doaj.org/toc/2332-8878Urban greenery has positive impacts on the well-being of residents and provides vital ecosystem services. A quantitative evaluation of full-view green coverage at the human scale can guide green space planning and management. We developed a still camera to collect hemisphere-view panoramas (HVPs) to obtain in situ heterogeneous scenes and established a panoramic green cover index (PGCI) model to measure human-scale green coverage. A case study was conducted in Xicheng District, Beijing, to analyse the quantitative relationships of PGCI with the normalized difference vegetation index (NDVI) and land surface temperature (LST) in different land use scenarios. The results show that the HVP is a useful quantization tool: (1) the method adaptively distinguishes the green cover characteristics of the four functional areas, and the PGCI values are ranked as follows: recreational area (29.6) > residential area (19.0) > traffic area (15.9) > commercial area (12.5); (2) PGCI strongly explains NDVI and LST, and for each unit (1%) increase in PGCI, NDVI tends to increase by 0.007, and (3) LST tends to decrease by 0.21 degrees Celsius. This research provides government managers and urban planners with tools to evaluate green coverage in complex urban environments and assistance in optimizing human-scale greenery and microclimate.Yonglin ZhangShanlin LiXiao FuRencai DongTaylor & Francis Grouparticleurban greeneryhemisphere-view panoramapanoramic green cover indexgreen vegetation threshold segmentation algorithmEcologyQH540-549.5ENEcosystem Health and Sustainability, Vol 0, Iss 0 (2021)
institution DOAJ
collection DOAJ
language EN
topic urban greenery
hemisphere-view panorama
panoramic green cover index
green vegetation threshold segmentation algorithm
Ecology
QH540-549.5
spellingShingle urban greenery
hemisphere-view panorama
panoramic green cover index
green vegetation threshold segmentation algorithm
Ecology
QH540-549.5
Yonglin Zhang
Shanlin Li
Xiao Fu
Rencai Dong
Quantification of urban greenery using hemisphere-view panoramas with a green cover index
description Urban greenery has positive impacts on the well-being of residents and provides vital ecosystem services. A quantitative evaluation of full-view green coverage at the human scale can guide green space planning and management. We developed a still camera to collect hemisphere-view panoramas (HVPs) to obtain in situ heterogeneous scenes and established a panoramic green cover index (PGCI) model to measure human-scale green coverage. A case study was conducted in Xicheng District, Beijing, to analyse the quantitative relationships of PGCI with the normalized difference vegetation index (NDVI) and land surface temperature (LST) in different land use scenarios. The results show that the HVP is a useful quantization tool: (1) the method adaptively distinguishes the green cover characteristics of the four functional areas, and the PGCI values are ranked as follows: recreational area (29.6) > residential area (19.0) > traffic area (15.9) > commercial area (12.5); (2) PGCI strongly explains NDVI and LST, and for each unit (1%) increase in PGCI, NDVI tends to increase by 0.007, and (3) LST tends to decrease by 0.21 degrees Celsius. This research provides government managers and urban planners with tools to evaluate green coverage in complex urban environments and assistance in optimizing human-scale greenery and microclimate.
format article
author Yonglin Zhang
Shanlin Li
Xiao Fu
Rencai Dong
author_facet Yonglin Zhang
Shanlin Li
Xiao Fu
Rencai Dong
author_sort Yonglin Zhang
title Quantification of urban greenery using hemisphere-view panoramas with a green cover index
title_short Quantification of urban greenery using hemisphere-view panoramas with a green cover index
title_full Quantification of urban greenery using hemisphere-view panoramas with a green cover index
title_fullStr Quantification of urban greenery using hemisphere-view panoramas with a green cover index
title_full_unstemmed Quantification of urban greenery using hemisphere-view panoramas with a green cover index
title_sort quantification of urban greenery using hemisphere-view panoramas with a green cover index
publisher Taylor & Francis Group
publishDate 2021
url https://doaj.org/article/b8fac903cf1e4aab97eb51cb29b69746
work_keys_str_mv AT yonglinzhang quantificationofurbangreeneryusinghemisphereviewpanoramaswithagreencoverindex
AT shanlinli quantificationofurbangreeneryusinghemisphereviewpanoramaswithagreencoverindex
AT xiaofu quantificationofurbangreeneryusinghemisphereviewpanoramaswithagreencoverindex
AT rencaidong quantificationofurbangreeneryusinghemisphereviewpanoramaswithagreencoverindex
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