Comparison of the wavelet characteristics of remote sensing images and urban air pollution
遥感影像小波特征与城市大气污染相关性对比分析

PM10 concentration is one of the most important quantitative indicators to indicate air quality in urban areas. Efficient collection of concentration and distribution information of PM10 at a large scale benefits control of PM10 and ultimately will help improve air quality. Satellite remote sensing, which provides a means to obtain atmosphere and surface conditions in a large scale, is a good prospect for pollution monitoring. In this paper, a satellite remote sensing product, namely MODIS images captured from 2004 to 2007 over Hangzhou, were decomposed by wavelet transformation. The resultant wavelet coefficients were analyzed with the in situ PM10 concentration to establish a regression model. Further comparisons of image features in different air quality conditions were conducted. The initial experimental result shows that image features of MODIS are correlated with PM10 concentration.