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Remote Sensing for Land & Resources    2019, Vol. 31 Issue (4) : 53-59     DOI: 10.6046/gtzyyg.2019.04.08
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Three-dimensional measuring for green space based on high spatial resolution remote sensing images
Xiaoqiong BAI1,2, Wen WANG1,2(), Ziyan LIN1,2, Yaojun ZHANG3, Kun WANG1,2
1. Key Laboratory of Urban Land Resource Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518034,China
2. Center for Spatial Information, School of Environment and Natural Resources, Renmin University of China, Beijing 100872, China
3. Center for Population and Development Studies, Renmin University of China, Beijing 100872, China
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Abstract  

Scientific measurement is the basis for the rational planning of urban green space, and indicators of green space are vital references in the construction of urban green space for urban planners. Up till now, the greening indicators widely used in urban green space construction have all been two-dimensional, which are too rough to reflect the stereoscopic landscape of green space and its ecological benefits. Therefore, three-dimensional index (three-dimensional green index, TGI) should be constructed to evaluate the spatial landscape quality of green space construction more precisely. First, the vegetation and its shadow information are extracted through the object-oriented classification; then, the vegetation heights are retrieved according to the geometric relation model between the shadow lengths and the vegetation heights; at last, TGI is constructed and compared with the traditional index green coverage rate for analysis. A case study of Shatou Street in Futian District of Shenzhen City was carried out, and the result showed that, compared with green coverage rate, TGI is capable of evaluating the three-dimensional landscape of green space more objectively and meticulously and can reflect the eco-benefits realistically. So it can provide scientific basis for planning, decision-making and management in the construction of urban green space.
Keywords three-dimensional green index      green coverage rate      stereoscopic landscape      green space construction     
:  TP79  
Corresponding Authors: Wen WANG     E-mail: wenw@ruc.edu.cn
Issue Date: 03 December 2019
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Xiaoqiong BAI
Wen WANG
Ziyan LIN
Yaojun ZHANG
Kun WANG
Cite this article:   
Xiaoqiong BAI,Wen WANG,Ziyan LIN, et al. Three-dimensional measuring for green space based on high spatial resolution remote sensing images[J]. Remote Sensing for Land & Resources, 2019, 31(4): 53-59.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2019.04.08     OR     https://www.gtzyyg.com/EN/Y2019/V31/I4/53
Fig.1  The study area (RGB image of GF-2)
Fig.2  Technology roadmap
植被高度/m 植被种类 植被高度等级(Ci)
(0,1] 草地 1
(1,3] 小灌木 2
(3,+∞) 大灌木或乔木 3
Tab.1  Vegetation height grades
分割层尺度 提取类别 分类规则
300 粗尺度阴影 亮度<1 200
面积>1 500Px
水体 NDWI>0.05
50 林地 空间同质性<0.035
NDVI>0.2
草地 空间同质性>0.035
NDVI>0.2
像素层(像元尺度) 细尺度阴影 亮度<1 200
Tab.2  Classification rules
Fig.3  The geometrical relationship between sun, satellite and shadow when azimuth is taken into account
Fig. 4  Extraction result
类别 林地 草地 水体 阴影 总和 用户精
度/%
林地 18 1 0 1 20 90.1
草地 2 17 0 1 20 86.2
水体 1 1 17 1 20 87.2
阴影 0 0 2 18 20 91.7
总和 21 20 19 22 80 -
生产者精度/% 85.81 86.20 91.79 83.36 - -
总体精度=88.80%; Kappa=0.87
Tab.3  The confusion matrix and summary of the classification accuracies
Fig.5  Distribution of the green space height
Fig.6  Distribution of TGI
Fig.7  Distribution of the green coverage ratio
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