Modelling building proximity to greenery in a three-dimensional perspective using multi-source remotely sensed data
文献类型：期刊论文
| 作者 | Li, Xiaojiang1; Li, Weidong1; Meng, Qingyan1; Zhang, Chuanrong1; Jancso, Tamas1; Wu, Kangli1 |
| 刊名 | JOURNAL OF SPATIAL SCIENCE
 |
| 出版日期 | 2016 |
| 卷号 | 61期号:2页码:389-403 |
| 关键词 | DATA SET ACCURACY RESOLUTION DESIGN REGION MAP |
| 通讯作者 | Zhang, CR (reprint author), Univ Connecticut, Dept Geog, Storrs, CT 06269 USA. ; Zhang, CR (reprint author), Univ Connecticut, Ctr Environm Sci & Engn, Storrs, CT 06269 USA. |
| 英文摘要 | Urban vegetation is important for the well-being of urban residents. Remotely sensed datasets can be used to efficiently quantify urban green spaces (UGSs) across broad spatial extents. Different methods have been developed to quantitatively describe UGSs using remotely sensed datasets. However, few studies have taken the vertical dimension into consideration in evaluating human interactions with nearby greenery. In this study, a new index, called the 3D building proximity to greenery index' (3DBPGI), is proposed to evaluate the proximity of a building to its nearby urban greenery within a buffer distance by accounting for the building's height and different vegetation types. The 3DBPGI values for buildings in a Hungarian city, Szekesfehervar, were calculated. The results of the case study show that this index can indicate to some extent the human proximity to greenery for each building block in urban areas, which further can help planners to find critical areas for urban greening programmes. |
| 学科主题 | Physical Geography; Remote Sensing |
| 类目[WOS] | Geography, Physical ; Remote Sensing |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000390131500009 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39506]  |
| 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.Univ Connecticut, Dept Geog, Storrs, CT 06269 USA 2.Univ Connecticut, Ctr Environm Sci & Engn, Storrs, CT 06269 USA 3.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China 4.Univ West Hungary, Fac Geoinformat, Szekesfehervar, Hungary 5.Harbin Inst Technol, Dept Urban Planning, Sch Architecture, Harbin, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Xiaojiang,Li, Weidong,Meng, Qingyan,et al. Modelling building proximity to greenery in a three-dimensional perspective using multi-source remotely sensed data[J]. JOURNAL OF SPATIAL SCIENCE,2016,61(2):389-403. |
| APA | Li, Xiaojiang,Li, Weidong,Meng, Qingyan,Zhang, Chuanrong,Jancso, Tamas,&Wu, Kangli.(2016).Modelling building proximity to greenery in a three-dimensional perspective using multi-source remotely sensed data.JOURNAL OF SPATIAL SCIENCE,61(2),389-403. |
| MLA | Li, Xiaojiang,et al."Modelling building proximity to greenery in a three-dimensional perspective using multi-source remotely sensed data".JOURNAL OF SPATIAL SCIENCE 61.2(2016):389-403. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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