Bayesian estimation of optical properties of nearshore estuarine waters: A gibbs sampling approach

Document Type

Article

Publication Date

1-1-2010

Abstract

A novel approach is developed for the retrieval of inherent optical properties of coastal water, from which waterquality constituent concentrations can be obtained. The technique combines an analytical bio-optical model with statistical modeling for the formulation of posterior probability distributions of phytoplankton absorption, backscattering, and colored dissolved organic matter absorption; a Gibbs Sampler is employed for optimization. In contrast to other methods that typically provide point estimates of the unknown parameters, the proposed method estimates posterior distributions of the parameters, quantifying the uncertainty present in the problem and revealing correlation patterns. The method is tested successfully on synthetic reflectance data and real datameasured in situ in the Hudson/Raritan Estuary of New York-New Jersey. © 2009 IEEE.

Identifier

79957662477 (Scopus)

Publication Title

IEEE Transactions on Geoscience and Remote Sensing

External Full Text Location

https://doi.org/10.1109/TGRS.2009.2028689

ISSN

01962892

First Page

1579

Last Page

1587

Issue

3 PART2

Volume

48

Grant

SBE 0547427

Fund Ref

National Science Foundation

This document is currently not available here.

Share

COinS