High-Resolution Brdf And Albedo Parameters Inversion From Sentinel-2 Multispectral Instrument Data

IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM(2020)

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Abstract
In this paper, an algorithm of the land surface bidirectional reflectance distribution function (BRDF) and albedo parameters inversion is proposed based on a simplified atmospheric radiative transfer model coupling with the BRDF model. The algorithm is applied to the Sentinel-2 Multi-Spectral Instrument (MSI) data. To validate the inversion, the BRDF/ albedo parameters derived from the MODerate Resolution Imaging Spectroradiometer (MODIS) were collected and resampled to match the MSI data. The preliminary validation shows a good consistency between the two datasets with the correlative coefficient (R) greater than 0.8 and the root-mean-square error (RMSE) less than 0.05 for the red and near infrared bands. The advantage of this algorithm is that the spatial resolution of the satellite-derived BRDF/albedo parameters can be improved as high as 20 m, which has great potential in quantitative remote sensing applications.
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Key words
Albedo, bidirectional reflectance distribution function, quantitative remote sensing, Sentinel-2
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