An effective Building Neighborhood Green Index model for measuring urban green space
| Autor: | Yuqin Liu, Linlin Zhang, Rumiana Vatseva, Tamas Jancso, Qingyan Meng, Jiahui Zhang |
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| Rok vydání: | 2015 |
| Předmět: |
Index (economics)
010504 meteorology & atmospheric sciences Urban green space Grid method multiplication Vegetation 010501 environmental sciences 01 natural sciences Computer Science Applications Geography Distribution (mathematics) Urban planning Statistics General Earth and Planetary Sciences Green index Urban ecosystem Cartography Software 0105 earth and related environmental sciences |
| Zdroj: | International Journal of Digital Earth. 9:387-409 |
| ISSN: | 1753-8955 1753-8947 |
| DOI: | 10.1080/17538947.2015.1037870 |
| Popis: | 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... |
| Databáze: | OpenAIRE |
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