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Synergistic angular and spectral estimation of aerosol properties using CHRIS/PROBA-1 and simulated Sentinel-3 data
[摘要] We develop a method to derive aerosol propertiesoverland surfaces using combined spectral and angular information, such as available from ESASentinel-3 mission, to be launched in 2015.A method of estimating aerosol optical depth (AOD) using only angular retrieval has previously beendemonstrated on data from the ENVISAT and PROBA-1 satelliteinstruments, and is extended here to the synergistic spectral andangular sampling of Sentinel-3. The method aims toimprove the estimation of AOD,and to explore the estimation of fine mode fraction (FMF) and single scattering albedo (SSA) overland surfaces byinversion of a coupled surface/atmosphere radiative transfer model. The surface model includes a general physical model of angular and spectral surfacereflectance. An iterative process is used to determine the optimumvalue of the aerosol properties providing the best fit of thecorrected reflectance values to the physical model. The method is tested using hyperspectral, multi-angleCompact High Resolution Imaging Spectrometer (CHRIS) images. Thevalues obtained from these CHRIS observations are validated usingground-based sun photometer measurements. Results from 22 image setsusing the synergistic retrieval and improved aerosol models show anRMSE of 0.06 in AOD, reduced to 0.03 over vegetated targets.
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