摘要
道路的视觉感知是衡量城市绿化景观功能的重要途径,绿视率被认为是评价城市绿色空间的重要指标。本文根据植物对太阳光吸收和反射波谱特性,对应街景图像中红、绿、蓝三分量的特点,提取植被信息,从而计算绿视率。以福州市城区(鼓楼区、仓山区、台江区、晋安区)主要道路作为研究对象,计算每个观测点的绿视率和道路的平均绿视率,分析道路绿视率分布情况,且探索了绿视率的影响因素与绿视率之间的关系。结果表明:福州市城区主要道路中47%的道路平均绿视率达到了15%,且主要集中在鼓楼区以及台江区;公园等绿地对于周边道路的绿视率有着积极的影响;道路最佳的绿化模式为密林式,且道路板带模式的绿视率对比情况为一板两带式>四板五带式>二板三带式>三板四带式。
The visual perception of roads is an important way to measure the functions of urban green landscapes,and the green view index is considered to be an indicator of urban green space evaluation.In this paper,according to the characteristics of plants′absorption and reflection of sunlight,corresponding to the characteristics of the red,green and blue components in the street view image,the vegetation information is extracted to calculate the green view index.Taking the main roads in the urban areas of Fuzhou(Gulou District,Cangshan District,Taijiang District and Jin′an District)as the research object,calculates the green view index of each observation point and the average of the road green view index,analyzes the distribution of road green view index,and explores the relationship between the influencing factors on green view index.The results showed that 47%of the main roads in Fuzhou urban area have an average green view index of more than 15%,and they are mainly concentrated in Gulou District and Taijiang District;parks and other green areas have a positive impact on the green view index of surrounding roads;The best greening pattern is dense forest type,and the green view index of road strip pattern is one-plate two-belt type,four-plate five-belt type,two-plate three-belt type and three-plate four-belt type in a descending order.
作者
彭巍
唐丽玉
胡颖
陈晓玲
冯先超
PENG Wei;TANG Liyu;HU Ying;CHEN Xiaoling;FENG Xianchao(Key Lab of Spatial Data Mining and Information Sharing of Ministry of Education,Fuzhou University,Fuzhou 350108,China;National Engineering Research Center of Geospatial Information Technology,Fuzhou University,Fuzhou 350108,China)
出处
《测绘与空间地理信息》
2022年第1期62-66,共5页
Geomatics & Spatial Information Technology
基金
国家自然科学基金(41971344)资助。
关键词
街景图像
绿视率
城市道路
视觉感知
street view images
green view index
urban roads
visual perception
