An effective Building Neighborhood Green Index model for measuring urban green space
文献类型：期刊论文
| 作者 | Liu, Yuqin1; Meng, Qingyan1; Zhang, Jiahui1; Zhang, Linlin1; Jancso, Tamas1; Vatseva, Rumiana1 |
| 刊名 | INTERNATIONAL JOURNAL OF DIGITAL EARTH
 |
| 出版日期 | 2016 |
| 卷号 | 9期号:4页码:387-409 |
| 关键词 | REMOTE-SENSING IMAGES SPOT PANCHROMATIC DATA AIRBORNE LIDAR DATA WAVELET DECOMPOSITION LAND-COVER CLASSIFICATION ACCURACY SPATIAL-RESOLUTION SATELLITE IMAGES URBAN AREA QUALITY |
| 通讯作者 | Meng, QY (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China. |
| 英文摘要 | Urban green space forms an integral part of urban ecosystems. Quantifying urban green space is of substantial importance for urban planning and development. Considering the drawbacks of previous urban green space index models, which established either through a grid method or green distribution, and the difficulty of the validation process of earlier urban green space index models, this study exploits the advantages of multisource high-resolution remote sensing data to establish a Building Neighborhood Green Index (BNGI) model. The model which analyzes the spatial configuration of built-up areas and the vegetation is based on the building-oriented method and considers four parameters - Green Index (GI), proximity to green, building sparsity, and building height. Comparing BNGI with GI in different types of characteristic building regions, it was found that BNGI evaluates urban green space more sensitively. It was also found that high-rise low-sparsity area has a lower mean value of BNGI (0.56) as compared with that of low-rise low-sparsity neighborhood (0.62), whereas mean GI (0.24) is equal for both neighborhoods. Taking characteristics of urban building and green types into consideration, BNGI model can be effectively used in many fields such as land suitability analysis and urban planning. |
| 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:000374661000004 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39255]  |
| 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.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Obuda Univ, Alba Regia Tech Fac, Szekesfehervar, Hungary 4.Bulgarian Acad Sci, Dept Geog, Natl Inst Geophys Geodesy & Geog, Sofia, Bulgaria |
| 推荐引用方式 GB/T 7714 | Liu, Yuqin,Meng, Qingyan,Zhang, Jiahui,et al. An effective Building Neighborhood Green Index model for measuring urban green space[J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH,2016,9(4):387-409. |
| APA | Liu, Yuqin,Meng, Qingyan,Zhang, Jiahui,Zhang, Linlin,Jancso, Tamas,&Vatseva, Rumiana.(2016).An effective Building Neighborhood Green Index model for measuring urban green space.INTERNATIONAL JOURNAL OF DIGITAL EARTH,9(4),387-409. |
| MLA | Liu, Yuqin,et al."An effective Building Neighborhood Green Index model for measuring urban green space".INTERNATIONAL JOURNAL OF DIGITAL EARTH 9.4(2016):387-409. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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