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绿视率与NDVI值相结合的道路空间绿量可视性研究——以沣东新区为例
引用本文:吕旭昕#,窦洛文#,落昊飞,白骅.绿视率与NDVI值相结合的道路空间绿量可视性研究——以沣东新区为例[J].西北林学院学报,2022,37(3):239-245.
作者姓名:吕旭昕#  窦洛文#  落昊飞  白骅
作者单位:(1.长安大学 建筑学院,陕西 西安 710064;2.长安大学 汽车学院,陕西 西安 710064)
摘    要:探究绿视率与NDVI值相结合的道路绿化方法,对城市绿色空间路网的构建以及道路景观的发展具有重要意义。以西安市沣东新区80条道路为研究对象,基于腾讯街景数据结合语义分割框架的手段提取道路绿视率,同时利用Landsat数据集为数据源计算研究区域内NDVI值,进而分析绿视率与NDVI值的相互关系与影响因素。结果表明:1)道路绿视率与道路周围NDVI值存在显著相关(P<0.05); 2)不同绿化形式下,绿化形式越丰富道路周围的植被覆盖度对道路的绿视率影响越弱,甚至无影响。3)不同的道路横断面形式下,道路周围的植被覆盖度对道路的绿视率影响随着板带数越多,道路路幅越宽,影响越小。通过分析不同道路的绿视率与NDVI值的关系,为城市道路绿地规划与城市道路绿化形式提供新的规划思路和优化参考。

关 键 词:绿视率  街景大数据  NDVI值  道路绿化  遥感

 Multi Dimensional Quantitative Study on Road Greening Based on Green Visibility and NDVI Value——Taking Fengdong Area as An Example
LV Xu-xin#,DOU Luo-wen#,LUO Hao-fei,BAI Huai. Multi Dimensional Quantitative Study on Road Greening Based on Green Visibility and NDVI Value——Taking Fengdong Area as An Example[J].Journal of Northwest Forestry University,2022,37(3):239-245.
Authors:LV Xu-xin#  DOU Luo-wen#  LUO Hao-fei  BAI Huai
Institution:(1.School of Architectur,Changan Uniwersity,Xi’an 710064,Shaanxi,China; 2.School of Automobile,Changan Uniwersity,Xi’an 710064,Shaanxi,China)
Abstract:Exploring the road greening method that combines green visual rate with normalized difference vegetation index (NDVI) value is of great significance to the construction of urban green space road network and the development of road landscape.Taking 80 roads in Fengdong New Area of Xi’an as the research objects,based on Tencent street view data and semantic segmentation framework,the road green viewing rates were extracted.At the same time,the Landsat data set was used as the data source to calculate the NDVI value in the study area,and then the relationship and influencing factors between green viewing rate and NDVI value were analyzed.The results showed that 1) there was a significant correlation between the green visual rate of the road and the NDVI value around the road (P<0.05); 2) under different greening forms,the richer the greening forms,the weaker or even no impact of the vegetation coverage around the road on the green visual rate of the road.3) under different cross-sectional forms of the road,the impact of the vegetation coverage around the road on the green visual rate of the road was smaller with the more number of strips and the wider the road width.Through the analysis of the green visual rate of different roads,the relationship between visibility and NDVI value provides a new planning idea and optimization reference for urban road green space planning and urban road green form.
Keywords:green visibility  street view big data  vegetation coverage  road greening  remote sensing
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