Study On The Retrieval Of Aerosol Optical Thickness Based On HJ And MODIS Data

This paper mainly studies the aerosol inversion method of urban areas base on the HJ-1A/B satellite data.And taking BEIJING as research area, Analyzing spectrum characters of cloud and extract cloudy pixels from CCD data of HJ satellite using visible and near-infrared spectral bands. Through the data acquisition experiment, this paper analyzed the impact of different aerosol mode to the result of aerosols optical depth, and taking the land mode and city mode in 6sv for example, analyzing the influences of urban aerosol mode and continent aerosol mode on aerosol optical thickness in 2006 and 2007.And used HJ image data retrieving the aerosols optical depth, whose result will be compare with AERONET data. The study shows that:(1) the method is stable and cloud identifying map came up to the requirements of atmosphere parameter inversion;(2) the urban mode is better than continent mode in August and September 2006, and the remaining month of the standard continental simulation results are good; In 2007 years, the urban mode is better than continental mode in February, July, August and September, and the remaining month of the standard continental simulation results are good.(3)The retrieved AOD from HJ remotely sensed data in Beijing region in accord with field observed AOD data, as well as the spatial distribution of AOD retrieval with field observation data, the difference of retrieved AOD value and field measured data is very low and absolute error are within 0.1. This paper utilized multi-temporal MODIS raw radiance data to retrieve aerosol optical depth production with a spatial resolution of 1KM in Beijing regional area, this AOD production are better than AOD products of NASA with 10KM spatial resolution。From the results of time series of MODIS AOD products analysis, the dark target method we used to retrieve AOD in (?)mmer at Beijing regional area can meet our demand, the error results between retrie (?)OD and field observation data are within 0.2 when the very dark vegetation area exist; but in winter, the relative error more than 30%。...