Abstract
Quantity indexes can not describe green space spatial location. Landscape construction can describe the spatial location by various metrics. Two kinds of indexes reflected the quality of urban green space from different aspects, so they are important indexes for urban green space quality evaluation. In this paper, the urban green space information of Pingyi and Linsu county in Linyi city of Shandong province was obtained using SPOT5 images. Based on the information, two kinds of indexes were calculated, and the quality of urban green space was studied. The result showed that three basic quantity indexes were similar and both had no predominance. From landscape metrics, apart from public park and other green space, the green space landscape construction and function in Pingyi county was poorer than in Linsu county, though they had similar green space quantity index value.
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Gao, Xw., Zhang, Zg., Fei, Xy. (2013). Urban Green Space Landscape Pattern Evaluation Based on High Spatial Resolution Images. In: Bian, F., Xie, Y., Cui, X., Zeng, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. Communications in Computer and Information Science, vol 398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45025-9_12
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DOI: https://doi.org/10.1007/978-3-642-45025-9_12
Publisher Name: Springer, Berlin, Heidelberg
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