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结合VIIRS和监测数据插值的北京雾霾监测方法
引用本文:李伟,郑新奇.结合VIIRS和监测数据插值的北京雾霾监测方法[J].测绘学报,2015(Z1):123-128.
作者姓名:李伟  郑新奇
作者单位:中国地质大学 北京 信息工程学院,北京,100083
摘    要:本文使用2014-03-20至2014-03-26的北京市VIIRS夜间灯光影像数据和地面监测站PM2.5质量浓度数据,通过遥感图像处理和GIS空间分析相结合,对雾霾强度变化及PM2.5质量浓度空间分布进行分析,提出一种监测雾霾的新方法。结果表明,VIIRS夜间灯光影像成像特征与雾霾浓度变化密切相关,结合同时期地面监测站PM2.5监测数据,能定性反映北京市雾霾强度变化及定量反映PM2.5质量浓度的空间分布。该方法不仅弥补了MODIS等数据在夏季的雾霾监测效果优于冬季的不足,同时也填补了传统光学遥感卫星难以在夜间监测雾霾的空白。

关 键 词:雾霾  PM2.5  VI  IRS  空间分析  监测

A Haze Monitoring Method Combined VIIRS Images with Real-time Observation Data Interpolation in Beijing
Abstract:In this study,we use VIIRS nighttime light image and PM2.5 mass concentration data sampled by the ground stations from March 20,2014 to March 26,2014 over Beijing,analyzing the changing tendency of haze intensity and the spatial distribution of PM2.5 mass concentration by combining remote sensing image processing with GIS spatial analysis,then we put forward a new method for continuous haze monitoring at night.The result shows that the imaging features of VIIRS nighttime light data have close relationship with haze while its intensity changes from time to time,combining with the same period of PM2.5 monitoring data acquired from the ground stations,it can qualitatively reflect the haze intensity and quantitatively reflect the spatial distribution of PM2.5 mass concentration.This method not only makes up for the insufficient that the aerosols monitoring effect of MODIS data is better in summer than in winter,but also fills the blank that traditional optical remote sensing satellites are difficult to monitor haze during the night.
Keywords:haze  PM2  5  VIIRS  spatial analysis  monitoring
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