Assessing street-level urban greenery using Google Street View and a modified green view index
文献类型：期刊论文
| 作者 | Li, Xiaojiang1; Zhang, Chuanrong1; Li, Weidong1; Ricard, Robert1; Meng, Qingyan1; Zhang, Weixing1 |
| 刊名 | URBAN FORESTRY & URBAN GREENING
 |
| 出版日期 | 2015 |
| 卷号 | 14期号:3页码:59-76 |
| 关键词 | Green view index (GVI) Google Street View (GSV) Landscape assessment Street greenery Visual quality |
| 通讯作者 | Li, XJ (reprint author), Univ Connecticut, Dept Geog, Storrs, CT 06269 USA. |
| 英文摘要 | We explored Google Street View (GSV) as a street-level, urban greenery assessment tool. Street-level greenery has long played a critical role in the visual quality of urban landscapes. This living landscape element can and should be assessed for the quality of visual impact with the GSV information, and the assessed street-level greenery information could be incorporated into urban landscape planning and management. Information on street-level views of urban greenery assessment, however, is rare or nonexistent. Planners and managers' ability to plan and manage urban landscapes effectively and efficiently is, therefore, limited. GSV is one tool that might provide street-level, profile views of urban landscape and greenery, yet no research on GSV for urban planning seems available in literature. We modified an existing Green View Index (GVI) formula and conducted a case study assessment of street greenery using GSV images in the area of East Village, Manhattan District, New York City. We found that GSV to be well suited for assessing street-level greenery. We suggest further that the modified GVI may be a relatively objective measurement of street-level greenery, and that GSV in combination with GVI may be well suited in guiding urban landscape planning and management. (C) 2015 Elsevier GmbH. All rights reserved. |
| 研究领域[WOS] | Plant Sciences ; Environmental Studies ; Forestry ; Urban Studies |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000363069400025 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38504]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1.[Li, Xiaojiang 2.Zhang, Chuanrong 3.Li, Weidong 4.Zhang, Weixing] Univ Connecticut, Dept Geog, Storrs, CT 06269 USA 5.[Ricard, Robert] Univ Connecticut, Dept Extens, Hartford, CT 06117 USA 6.[Meng, Qingyan] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Xiaojiang,Zhang, Chuanrong,Li, Weidong,et al. Assessing street-level urban greenery using Google Street View and a modified green view index[J]. URBAN FORESTRY & URBAN GREENING,2015,14(3):59-76. |
| APA | Li, Xiaojiang,Zhang, Chuanrong,Li, Weidong,Ricard, Robert,Meng, Qingyan,&Zhang, Weixing.(2015).Assessing street-level urban greenery using Google Street View and a modified green view index.URBAN FORESTRY & URBAN GREENING,14(3),59-76. |
| MLA | Li, Xiaojiang,et al."Assessing street-level urban greenery using Google Street View and a modified green view index".URBAN FORESTRY & URBAN GREENING 14.3(2015):59-76. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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