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BGVI: A New Index to Estimate Street-Side Greenery Using Baidu Street View Image
Yu, Xinyang1,2; Zhao, Gengxing1; Chang, Chunyan1; Yuan, Xiujie1; Heng, Fang1
2019
Source PublicationFORESTS
ISSN1999-4907
Volume10Issue:1Pages:13
Corresponding AuthorZhao, Gengxing(zhaogx@sdau.edu.cn)
AbstractThe significance of street-side greenery monitoring is increasing for precise urban planning and environmental management, especially in rapid sprawling urban cities, while there have been few studies focusing on urban greenery estimation using new profile image system. In this study, Baidu Street View (BSV) images, which were taken by Baidu vehicles and had view angles similar to those of pedestrians on the street, were selected for calculating the magnitude of street profile greenery. From 278 randomly selected street sample sites in Tai'an city of China, 3336 images were acquired via the Baidu Application Programming Interface (API). A Baidu Green View Index (BGVI) was proposed to quantitatively describe the street-side profile greenery. The results demonstrated that green vegetation can be distinguished efficiently from BSV images. The BGVI varied in the different portions of the study area, and it can be used to grade street system by considering pedestrians' visualized greenery. Though BGVI had a significant correlation with the overlooking green canopy coverage, in some street sample sites it can delineate different scenarios. BGVI can be regarded as complementary information to urban planning and management.
KeywordBaidu Street View Baidu Green View Index Street-side greenery estimation
DOI10.3390/f10010003
WOS KeywordURBAN TREES
Indexed BySCI
Language英语
Funding ProjectDouble Tops Program Project[SYL2017XTTD02] ; Natural Science Found of China[41877003] ; Twelfth Five-Year National Science and Technology Support Program Project[2015BAD23B0202] ; Postdoctoral Study Fund of Shandong Agricultural University[010-76562] ; Youth Science & Technology Innovation Fund of Shandong Agricultural University[010-24150]
Funding OrganizationDouble Tops Program Project ; Natural Science Found of China ; Twelfth Five-Year National Science and Technology Support Program Project ; Postdoctoral Study Fund of Shandong Agricultural University ; Youth Science & Technology Innovation Fund of Shandong Agricultural University
WOS Research AreaForestry
WOS SubjectForestry
WOS IDWOS:000458910800003
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/49458
Collection中国科学院地理科学与资源研究所
Corresponding AuthorZhao, Gengxing
Affiliation1.Shandong Agr Univ, Dept Resources & Environm, Tai An 271018, Shandong, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Yu, Xinyang,Zhao, Gengxing,Chang, Chunyan,et al. BGVI: A New Index to Estimate Street-Side Greenery Using Baidu Street View Image[J]. FORESTS,2019,10(1):13.
APA Yu, Xinyang,Zhao, Gengxing,Chang, Chunyan,Yuan, Xiujie,&Heng, Fang.(2019).BGVI: A New Index to Estimate Street-Side Greenery Using Baidu Street View Image.FORESTS,10(1),13.
MLA Yu, Xinyang,et al."BGVI: A New Index to Estimate Street-Side Greenery Using Baidu Street View Image".FORESTS 10.1(2019):13.
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