利用多时相ASTER数据研究城市植被覆盖

植被是城市环境的基本组分之一,其覆盖状况对城市气候、地表能量通量具有举足轻重的作用,进而影响城市人居环境质量.以北京市西城、东城、宣武和崇文四个中心城区为研究区,利用2004年四个季节的ASTER影像,分析了城市实际植被覆盖度的季节性变化.研究结果表明,线性光谱混合模型估算城市植被覆盖度能够达到较高精度.北京中心城区城市植被覆盖景观在夏季破碎且复杂多样,春秋季节次之,冬季最为单一.本研究为有效评估城市植被覆盖状况并分析其季节分布格局提供了一条有效的途径.

Urban Vegetation Abundance Analysis Based on Multitemporal ASTER Images

Vegetation is a fundamental component of urban environment and its abundance is primary determinant of urban climate and urban ground energy fluxes, thereby affects the quality of life of urban residents. Based on multitemporal ASTER images of four central districts in Beijing, this paper analyzes the seasonal change of urban vegetation abundance. The result indicates that vegetation abundance estimation based on linear spectral mixture model can reach high accuracy. This study reveals that the landscape characteristics of vegetation abundance is most complicated in summer, with spring and autumn less complicated and simplest in winter. This paper is important for urban vegetation abundance estimation and its seasonal change monitoring using remote sensing.