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This document discusses methods for estimating biophysical parameters from remote sensing data. It focuses on Gaussian process regression (GPR), which has been used successfully but assumes homoscedastic (constant variance) noise. The paper proposes a variational heteroscedastic GPR (VHGPR) that allows for signal-dependent noise variances. It shows VHGPR outperforms other methods for estimating chlorophyll content from hyperspectral images and ocean chlorophyll concentration from reflectance measurements, b

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zfqqpnvrzc

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