城市居住单元建筑拥挤度环境遥感分析——以厦门市为例

Analysis of the Crowd Degree of Building for Communities Based on High Spatial Resolution Remote Sensed Images

居住单元的建筑拥挤度是居住单元环境评价的重要方面,而高分辨率卫星影像所提供的丰富的细节化的空间信息使得从居住单元的尺度研究建筑拥挤度成为可能。结合房地产估价理论和地统计学中的半变异函数方法,基于高分辨率遥感影像的特点创造性地构建了4个指标用来评价居住单元的建筑拥挤度,并选取了厦门市的5个典型居住单元对这些指标的可用性进行了检验。结果表明上述4个指标能很好地从不同角度刻画建筑拥挤度,为高分辨率遥感在环境评价中的应用提供了新的方向。

The crowd degree of buildings is a very important aspect for the assessment of environmental quality of urban communities. Remote sensing imagery with high spatial resolution provides more detailed spatial information about land covers and makes it possible to assess the quality of communities in detailed scale. Four factors were proposed to assess the crowd degree of buildings based on the combination of high spatial resolution imagery and some fundamental principles including estate and geo-statistics methods. Five typical communities in Xiamen City were selected to demonstrate the application of those indices. Results suggested that these indices could describe the building crowd degree from different aspects, and it provided a new approach in assessing environmental quality of community through high spatial resolution remote sensed data.