PM2.5 是中国空气质量的重要评价指标,影响着环境和人体健康。近年来,遥感反演已逐渐成为监测PM2.5 的热点。介绍了大气PM2.5 反演常用的遥感数据优缺点及适用范围,对遥感反演方法进行归纳和总结,阐述构建PM2.5 与气溶胶光学厚度关系模型、消除气象因素和垂直分布等参数影响的方法,并展望PM2.5 遥感反演在高时空分辨率数据和模型耦合等方面的发展趋势。
PM2.5 is an important index of air quality,affecting the environment and human health. Using remote sensing technology to estimate the concentration of PM2.5 has been regarded as the focus of the researches in recent years. The advantages and disadvantages of atmospheric remote data and applications were reviewed. The principles of different retrieval methods were compared and summarized. Then AOD-PM2.5 relationship model which eliminates the impact of meteorological and vertical distribution factors on remote sensing was demonstrated. The development trend of high spatial-temporal resolution satellite data and coupling model was prospected.