Abstract
Retrieving snow surface reflectance is difficult in optical remote sensing.
Hence, this letter evaluates five surface reflectance models, including the Ross-Li,
Roujean, Walthall, modified Rahman and Staylor models, in terms of their capacities
to capture snow reflectance signatures using ground measurements in Antarctica. The
biases of all the models are less than 0.0003 in both visible and near-infrared
regions. Moreover, with the exception of the Staylor model, all models have
root-mean-square errors of around 0.02, indicating that they can simulate the
reflectance magnitude well. The R2 performances of the Ross-Li and Roujean models
are higher than those of the others, indicating that these two models can capture
the angle distribution of snow surface reflectance better.
© 2011 Chinese Optics Letters
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