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
绿地的科学度量是城市绿地合理规划的基础,绿化指标是城市规划者在绿地建设中的重要依据。目前城市绿地建设中广泛应用的绿化评价指标均为二维指标,其对于绿地的评价过于宽泛,难以反映绿地立体景观及其生态效益。为此,基于高分二号遥感影像构建三维绿度指数(three-dimensional green index,TGI),以期更加准确地度量城市绿地建设质量。首先,采用面向对象的分类方法提取植被及其阴影信息; 然后,根据植被高度和阴影长度的几何关系模型反演植被高度; 最后,构建TGI,并以深圳市福田区沙头街道为研究区进行实验,与传统的绿化覆盖率指标进行比较分析。结果表明,与绿化覆盖率相比,TGI能够更客观细致地评价绿地立体景观,反映绿地实际生态效益,能够在城市绿地建设中为规划、决策、管理提供更加科学合理的绿度度量依据。
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.
白晓琼, 王汶, 林子彦, 张耀军, 王昆. 基于高空间分辨率遥感影像的三维绿度度量[J]. 国土资源遥感, 2019, 31(4): 53-59.
Xiaoqiong BAI, Wen WANG, Ziyan LIN, Yaojun ZHANG, Kun WANG. Three-dimensional measuring for green space based on high spatial resolution remote sensing images. Remote Sensing for Land & Resources, 2019, 31(4): 53-59.
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2019, Vol. 31 
), 林子彦1,2, 张耀军3, 王昆1,2
