Development and Validation of an Empirical Ocean Color Algorithm with Uncertainties: A Case Study with the Particulate Backscattering Coefficient.

ABSTRACT: We explored how algorithm (model) and in situ measurement (observation) uncertainties can effectively be incorporated into empirical ocean color model development and assessment. In this study we focused on methods for deriving the particulate backscattering coefficient at 555 nm, b _bp (555) (m^-1). We developed a simple empirical algorithm for deriving b _bp (555) as a function of a remote sensing reflectance line height (LH) metric. Model training was performed using a high-quality bio-optical dataset that contains coincident in situ measurements of the spectral remote sensing reflectances, R _rs (λ) (sr^-1), and the spectral particulate backscattering coefficients, b

SUBMITTER: McKinna LIW 

PROVIDER: S-EPMC8244078 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature