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- W4312937162 abstract "Aerosols play a critical role in radiative transfer within the atmosphere and in climate change. As part of the validation of atmospheric correction of remote sensing data affected by the atmosphere, it is critical to utilize appropriate aerosol models as aerosols are a main source of error. Here, we define the aerosol model by recalculating the aerosol microphysical properties based on the optical thickness at 440 nm and the Ångström coefficient obtained from numerous AERONET sites. The associated uncertainties are up to 23%, except for the imaginary part of the refractive index (about 38%). Uncertainties of the retrieved aerosol microphysical properties were incorporated in the framework for validating surface reflectance derived from space-borne Earth observation sensors. It yields an overall uncertainty of approximately of 1 to 3% of the retrieved surface reflectance in the MODIS red spectral band, well below the specification used for atmospheric correction." @default.
- W4312937162 created "2023-01-05" @default.
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- W4312937162 date "2022-07-17" @default.
- W4312937162 modified "2023-10-03" @default.
- W4312937162 title "Aerosol Models from the Aeronet Data Base. Application to Surface Reflectance Validation" @default.
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- W4312937162 doi "https://doi.org/10.1109/igarss46834.2022.9883725" @default.
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