城市行道树绿视量指数研究
发布时间：2019-04-22 14:18
【摘要】：本文立足于街道景观视觉质量定量研究不足,以行人的视觉感受为出发点,创新性地提出一种用于衡量城市行道树的绿量可视性的绿视量指数。该方法通过模拟人眼视野范围内周围树木的真实场景,定量描述了行人视角下所能捕获的行道树绿色面积,以及这种目视接触概率的空间分布差异。研究结果表明:对于复杂的城市街道景观,绿视量指数能够很好地反映出行道树的空间分布、树冠三维结构、建筑物遮挡、以及观察距离对行人感知城市绿量产生的影响。本方法充分利用多源信息,基于计算机的自动解译,实现了街道场景内任意位置的绿视量高精度计算,大大降低了人力成本,可用作大范围多区域间的对比评价。研究成果证实了多源遥感数据在评价道路绿化景观视觉效果上的有效性,可为环境规划设计、绿化精细化管理、人居环境改善提供技术支撑。
[Abstract]:Based on the lack of quantitative research on the visual quality of street landscape, this paper proposes an innovative green visual index to measure the visibility of urban walkway trees with the visual perception of pedestrians as the starting point. By simulating the real scene of trees around the visual field of human eyes, this method quantitatively describes the green area of the trees captured by pedestrians and the spatial distribution difference of the visual contact probability. The results show that for the complex urban street landscape, the green visual index can well reflect the spatial distribution of street trees, the three-dimensional structure of tree crown, the occlusion of buildings, and the effect of observing distance on the perceived urban green volume of pedestrians. This method makes full use of multi-source information, based on the automatic interpretation of computer, realizes the high-precision calculation of green vision at any location in street scene, greatly reduces the manpower cost, and can be used as a comparative evaluation among large-scale multi-area. The research results confirm the effectiveness of multi-source remote sensing data in evaluating the visual effect of road greening landscape, which can provide technical support for environmental planning and design, fine management of greening and improvement of human settlements environment.
【作者单位】： 中国科学院遥感与数字地球研究所对地观测应用系统工程研究室;中国科学院大学;
【基金】：国家自然科学基金项目(41471310) 广东省科技计划项目(2016A050502065) 四川省科技支撑计划项目(2016JZ0027)
【分类号】：P237;TU985.12
，
本文编号：2462910
[Abstract]:Based on the lack of quantitative research on the visual quality of street landscape, this paper proposes an innovative green visual index to measure the visibility of urban walkway trees with the visual perception of pedestrians as the starting point. By simulating the real scene of trees around the visual field of human eyes, this method quantitatively describes the green area of the trees captured by pedestrians and the spatial distribution difference of the visual contact probability. The results show that for the complex urban street landscape, the green visual index can well reflect the spatial distribution of street trees, the three-dimensional structure of tree crown, the occlusion of buildings, and the effect of observing distance on the perceived urban green volume of pedestrians. This method makes full use of multi-source information, based on the automatic interpretation of computer, realizes the high-precision calculation of green vision at any location in street scene, greatly reduces the manpower cost, and can be used as a comparative evaluation among large-scale multi-area. The research results confirm the effectiveness of multi-source remote sensing data in evaluating the visual effect of road greening landscape, which can provide technical support for environmental planning and design, fine management of greening and improvement of human settlements environment.
【作者单位】： 中国科学院遥感与数字地球研究所对地观测应用系统工程研究室;中国科学院大学;
【基金】：国家自然科学基金项目(41471310) 广东省科技计划项目(2016A050502065) 四川省科技支撑计划项目(2016JZ0027)
【分类号】：P237;TU985.12
，
本文编号：2462910
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