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

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

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.

Original languageEnglish (US)
Article number2028689
Pages (from-to)1579-1587
Number of pages9
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume48
Issue number3 PART2
DOIs
StatePublished - 2010

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Earth and Planetary Sciences(all)

Keywords

  • Backscattering
  • Bayesian modeling
  • Optical water-quality parameters

Fingerprint Dive into the research topics of 'Bayesian estimation of optical properties of nearshore estuarine waters: A gibbs sampling approach'. Together they form a unique fingerprint.

Cite this