Particulate matter indices derived from MODIS data for indicating urban air pollution
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摘要: 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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关键词:
- 颗粒物 /
- 归一化灰霾指数(NDHI) /
- 差值植被指数(DVI) /
- 归一化建筑指数(NDBI) /
- 差值建筑指数(DBI)
Abstract: According to the variation of MODIS apparent reflectance caused by aerosol scattering and absorption, spectral indices for urban particulate pollution were constructed, which include difference vegetation index( DVI) , normalized difference haze index ( NDHI) , normalized difference build-up index ( NDBI) and difference build-up index ( DBI) . Relations between the indices and particle concentrations ( PM10 ) measured by the Shijiazhuang Environmental Monitoring Station were discussed. Coefficient analysis indicates that there is negative correlation between the particle concentrations and the spectral indices except NDHI. The MODIS DBI is linearly related to PM10 . The estimating model of PM10 based on several indices makes it easier to quickly monitor and evaluate atmospheric particulate pollution in urban area. -
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