BGVI: A New Index to Estimate Street-Side Greenery Using Baidu Street View Image
文献类型：期刊论文
| 作者 | Yu, Xinyang1,2 ; Zhao, Gengxing1; Chang, Chunyan1; Yuan, Xiujie1; Heng, Fang1
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| 刊名 | FORESTS
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| 出版日期 | 2019 |
| 卷号 | 10期号:1页码:13 |
| 关键词 | Baidu Street View Baidu Green View Index Street-side greenery estimation |
| ISSN号 | 1999-4907 |
| DOI | 10.3390/f10010003 |
| 通讯作者 | Zhao, Gengxing(zhaogx@sdau.edu.cn) |
| 英文摘要 | The 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. |
| WOS关键词 | URBAN TREES |
| 资助项目 | Double 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] |
| WOS研究方向 | Forestry |
| 语种 | 英语 |
| WOS记录号 | WOS:000458910800003 |
| 出版者 | MDPI |
| 资助机构 | Double 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 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/49457]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhao, Gengxing |
| 作者单位 | 1.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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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