基于多源数据的北京市中心城区绿色空间的定量评价

Quantitative Evaluation of Green Spaces in Beijing City Center Based on Multi-Source Data

文章以北京市中心城区为例,采用遥感影像与大数据结合的方式探索城市绿色空间定量评价方法,以期为新时代背景下的生态空间品质提升提供思路:一方面从生态环境改善出发,运用2013—2018年研究区城市绿色空间的时空演变特点探讨研究区城市绿色空间与地表温度之间的关系,为缓解城市热岛现象提出建议;另一方面从供给侧视角出发,分析研究区大型、中型、小型城市绿色空间斑块的服务水平及服务压力,以期为优化城市绿色空间格局提供相应参考。

The paper explores the quantitative evaluation method of urban green spaces(UGS)with the city center of Beijing as an case study using remote sensing image and big data,in order to provide ideas for the improvement of ecological space quality in the new era.On the one hand,in a view of ecological environment improvement,the study obtains the spatial and temporal evolution characteristics of urban green spaces in the study area from 2013 to 2018 for exploring the relationship between urban green spaces and land surface temperature(LST),and then suggestions are made to alleviate the urban heat island phenomenon.On the other hand,it analyzes the service level and service pressure of large,medium and small urban green space patches in the study area from the perspective of supply side,in order to provide corresponding references for optimizing the urban green space pattern.