Research On Retrieval Of Aerosol By Using The MODIS Remote Sensing Data

Fog and Haze phenomenon is an important factor affecting the climate and atmosphericenvironmental quality. The "fog" and "haze" are aerosol particles suspending in theatmosphere, Turbidity is one of the main optical properties, which can be represent theAerosol Optical Depth. At the present stage, Monitoring of Aerosol Optical Depth measureddata are mostly ground-based meteorological stations. The based measured data is pointmonitoring. Scope and trends of aerosols can’t be measured. With the development ofaerosol remote sensing technology, it provides the aerosol satellite monitoring withtechnical basis. Can be achieved using satellite data to monitor the aerosol surface. Trendscan be achieved through the analysis of studies comparing multi-phase data.Papers analyzed aerosol retrieval theories and methods in-depth. Using Beijing and thesurrounding area MODIS satellite remote sensing image data experimental verify theaerosol retrieval. This paper mainly research results are as follows:(1) The selection of data. Because MODIS data with high spectral and temporalresolution, and outside is free to download, with better economic applicability. So thisoption to MODIS image data as the base experimental.(2) Select the atmospheric model. In the process of retrieval of aerosol, Setting theatmospheric model parameters and model parameters of aerosol affects retrieval accuracy.After experimental study, using6S model simulates atmospheric model parameters andaerosol model, to improve the retrieval accuracy.(3) According to the theoretical basis of aerosol retrieval, in the inversion process needto establish a quantitative relationship between surface albedo and Aerosol Optical Depth.Paper estimate surface reflectance with the dark pixel method, and further using6S modelcalculate the seven parameters associated with the aerosol optical thickness based on IDLprogramming language, with this seven-parameter, Aerosol Optical Depth can be achieved.(4) Using MODIS Image of Beijing and its surrounding areas as data to achievedAerosol Optical Depth distribution. And we use AERONET data to verify the accuracy of the results. And further we completed the Aerosol Optical Depth distribution trends analysisbased on seven data inversion results.Experimental results show that using MODIS L1B1KM data and dark element methodto invert Aerosol Optical Depth over land is a good way. This provides affordable way forrapid monitoring of air pollution in urban areas.