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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Bibliographic Details
Published in:Ecosystem health and sustainability Vol. 7; no. 1
Main Authors: Zhang, Yonglin, Li, Shanlin, Fu, Xiao, Dong, Rencai
Format: Journal Article
Language:English
Published: Washington Taylor & Francis 01.01.2021
The American Association for the Advancement of Science
American Association for the Advancement of Science (AAAS)
Subjects:
cameras
case studies
China
Ecosystem services
ecosystems
environmental health
Environmental science
Green infrastructure
green vegetation threshold segmentation algorithm
hemisphere-view panorama
humans
Laboratories
Land surface temperature
Land use
Microclimate
normalized difference vegetation index
Normalized difference vegetative index
panoramic green cover index
Parks & recreation areas
Quantitative analysis
recreation areas
Research methodology
Residential areas
surface temperature
traffic
Urban environments
Urban greenery
Urban planning
Vegetation
China
ISSN:2096-4129, 2332-8878, 2332-8878
Online Access:Get full text
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Summary: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 analyze 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.
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ISSN:2096-4129
2332-8878
2332-8878
DOI:10.1080/20964129.2021.1929502