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The correction of atmospheric effects is one of the preliminary steps  required to make quantitative use of time series of high resolution  images from optical remote sensing satellites. An accurate atmospheric  correction requires good knowledge of the aerosol optical thickness  (AOT) and of the aerosol type. As a first step, this study compares the  performances of two kinds of AOT estimation methods applied to  FormoSat-2 and LandSat time series of images: a multi-spectral method  that assumes a constant relationship between surface reflectance  measurements and a multi-temporal method that assumes that the surface  reflectances are stable with time. In a second step, these methods are  combined to obtain more accurate and robust estimates. The estimated  AOTs are compared to in situ measurements on several sites of the  AERONET (Aerosol Robotic Network). The methods, based on either spectral  or temporal criteria, provide accuracies better than 0.07 in most  cases, but show degraded accuracies in some special cases, such as the  absence of vegetation for the spectral method or a very quick variation  of landscape for the temporal method. The combination of both methods in  a new spectro-temporal method increases the robustness of the results  in all cases

remote sensing

A Multi-Temporal and Multi-Spectral Method to Estimate Aerosol Optical Thickness over Land, for the Atmospheric Correction of FormoSat-2, LandSat, VENμS and Sentinel-2 Images