地球信息科学学报 ›› 2017, Vol. 19 ›› Issue (6): 838-845.doi: 10.3724/SP.J.1047.2017.00838

• 遥感科学与应用技术 • 上一篇    下一篇

城市行道树绿视量指数研究

张佳晖1,2(), 孟庆岩1,*(), 孙云晓1, 孙震辉1, 张琳琳1   

  1. 1. 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, 北京 100101
    2. 中国科学院大学,北京 100049
  • 收稿日期:2017-03-06 修回日期:2017-04-05 出版日期:2017-06-20 发布日期:2017-06-20
  • 通讯作者: 孟庆岩 E-mail:zhangjh09@radi.ac.cn;mengqy@radi.ac.cn
  • 作者简介:

    作者简介:张佳晖(1992-),女,硕士生,主要从事城市绿色空间度量与评价方面研究。E-mail: zhangjh09@radi.ac.cn

  • 基金资助:
    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)

Study on Urban Green View Index

ZHANG Jiahui1,2(), MENG Qingyan1,*(), SUN Yunxiao1, SUN Zhenhui1, ZHANG Linlin1   

  1. 1. Applied Earth Observation System Division, Institute of Remote Sensing and Digital Earth, CAS, Beijing 100101, China
    2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2017-03-06 Revised:2017-04-05 Online:2017-06-20 Published:2017-06-20
  • Contact: MENG Qingyan E-mail:zhangjh09@radi.ac.cn;mengqy@radi.ac.cn

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。

关键词: 绿视量指数, 街道绿化, 视觉质量, 激光雷达

Abstract:

By identifying the research gap in the quantitative study of the visual quality of street landscape, a new Green View Index is proposed to assess the human-viewed street. The newly developed method describes the green-appearance area of street greenery that can be captured and its spatial distribution via simulating the real scene of the surrounding trees in the human eye field. Results indicate that the proposed Green View Index can reflect the impact of the size of tree canopy, layout of buildings, and distances between trees and viewers on the visual perception of street greenery in complex road scenes. The advantages of this method are as follows: by making full use of multi-source information, the green view of any location can be calculated with high precision based on automatic interpretation, which greatly reduces manual effort and errors and facilitates multi-regional comparative evaluation. The effectiveness of multi-source remotely sensed data in evaluating the visual effect has been proved, and the new Green View Index can be a relatively objective measurement in guiding urban landscape planning and management.

Key words: Green View Index, street greenery, visual quality, LiDAR