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Applied optics, 2004

Inverse problems are “ill posed”. There may be multiple solutions. Applied optics, 2004. JGR, 2007. Wang et al., 2005. Uncertainties can come from several sources:

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Applied optics, 2004

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  1. Inverse problems are “ill posed”. There may be multiple solutions. Applied optics, 2004 JGR, 2007

  2. Wang et al., 2005

  3. Uncertainties can come from several sources: Uncertainties in Rrs arising from problem with satellite calibration, atmospheric correction, adjacency effects, BRDF and averaging (temporal and spatial, remember <bb/a> is not equal to <bb>/<a>). Uncertainties in the inversion function and its parameters: e.g. polynomial coefficients, assumed eigen-functions for IOPs, assumed VSF in Hydrolight simulation etc’. For example, there is a significant uncertainty in filter-pad derived a_phi due to inability to scatter correct (other than removal of constant offset) with a significant bias introduced in blue wavelengths. Similarly, assumed backscattering eigen-functions have no pigment peaks/deeps despite the fact that we know they should have them.

  4. Roesler and Boss, 2008

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