Optimized transformation model of aerosol optical depth and visibility based on Gaussian curve
Atmospheric aerosol is the primary uncertainty of earth observation precision for quantitative analysis. With the development of quantitative remote sensing, there is a higher precision requirement of aerosol optical depth. Aerosol optical depth is a key parameter in atmospheric correction study of radiation transfer model. It is difficult to obtain AOD date relevant to earth observation images. However, as an indirect parameter of aerosol optical properties, horizontal visibility can be obtained from widely distributed weather stations. AOD data transformed from visibility are useful in the atmospheric correction of radiation transfer model. In this paper, Peterson model is optimized by fitting the changes of aerosol scale height based on the measured data of visibility and aerosol optical depth. RMSE of the optimized model is 0.254. The result shows that the optimized model has a higher precision.
AODvisibilitytransformation modelradiative transfer
NETL
NSTL
万方数据
维普
