基于MODIS的城市大气颗粒物污染指数研究
Remote Sensing for Land & Resources(2016)
Abstract
遥感特征指数法是一种简单、高效的信息提取方法。根据气溶胶散射或吸收引起的卫星不同波段间表观反射率变化,构建了基于MODIS的城市大气颗粒物污染指数,结合石家庄市各环境空气质量站实测颗粒物浓度数据,分析差值植被指数( difference vegetation index, DVI)、归一化灰霾指数( normalized difference haze index, NDHI)、归一化建筑指数( normalized difference built-up index, NDBI)和差值建筑指数( difference built-up index, DBI)与PM10之间的相关关系。结果表明,除NDHI外,DVI,NDBI和DBI与大气颗粒物质量浓度均呈现负相关关系,DBI与PM10之间线性相关关系较为明显,综合多种大气颗粒物污染指数构建的大气颗粒物质量浓度估算模型,可以用来简便、快速地指示城市大气颗粒物污染状况。
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Key words
particulate matter,normalized difference haze index( NDHI),difference vegetation index( DVI),nor-malized difference build-up index( NDBI),difference build-up index( DBI)
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