一种基于LiDAR与多光谱数据的城市建筑物绿地环境指数

Urban building green environment index based on Li DAR and multispectral data

为建立一种能对城市绿地环境进行综合评价的遥感指数,以匈牙利塞克什白堡市为例,基于机载激光雷达与多光谱影像数据提取城市植被和建筑物的二维、三维信息,利用移动窗口法分别建立评价因子,然后采用加权分析法,综合各因子对城市绿地环境的贡献,创建了城市建筑物绿地环境指数,并将其与传统城市绿地指数进行对比分析。结果表明:相比传统的城市绿地指数,城市建筑物绿地环境指数在考虑城市环境要素二维信息的基础上,能兼顾其三维信息,增加了指数构建的合理性;相比以往的调查评价方法,该指数能更加全面地分析城市绿地环境,克服传统生态计量法由点代面的缺陷;无论是对整个城市还是对不同功能区而言,城市建筑物绿地环境指数在准确反映城市绿地环境状况的基础上,还能体现出城市内部绿地环境之间的差异性。

To establish a remote sensing index to evaluate urban green space environment,we extracted 2-and 3-dimensional information of urban vegetation and buildings based on airborne Li DAR and multispectral image data of Székesfehérvár City in Hungary.We selected evaluation factors using moving window method,calculated the contribution of each factor to urban green space environment using weighted analysis method,and then established building green environment index(BGEI),and gave a comparison with the traditional urban green index(UGI).Compared with the UGI,the BGEI takes into account not only the two-dimensional information of urban environmental factors,but also the three-dimensional information,which increases the rationality of index construction.The new index can give a more comprehensive analysis,and overcome the shortcomings of the traditional ecological measurement method by substituting point for plane.BGEI can accurately reflect the status of urban green space environment and the differences between urban functional areas for either the whole city or different functional areas of the city.