Literature DB >> 19550855

Fluorescence component in the reflectance spectra from coastal waters. Dependence on water composition.

A Gilerson, J Zhou, S Hlaing, I Ioannou, J Schalles, B Gross, F Moshary, S Ahmed.   

Abstract

Based on HYDROLIGHT simulations of more than 2000 reflectance spectra from datasets typical of coastal waters with highly variable optically active constituents as well as on intercomparisons with field measurements, the magnitude of chlorophyll fluorescence was analyzed and parameterized as a function of phytoplankton, CDOM, and suspended inorganic matter concentrations. Using the parameterizations developed, we show that variations in the fluorescence component of water leaving radiance in coastal waters are due more to the variability of attenuation in the water than to the variability of the fluorescence quantum yield, which we estimate to be relatively stable at around 1%. Finally, the ranges of water conditions where fluorescence plays a significant role in the reflectance NIR peak and where it is effectively undetectable are also determined.

Entities:  

Year:  2007        PMID: 19550855     DOI: 10.1364/oe.15.015702

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  5 in total

1.  Empirical and semi-analytical chlorophyll a algorithms for multi-temporal monitoring of New Zealand lakes using Landsat.

Authors:  Mathew G Allan; David P Hamilton; Brendan Hicks; Lars Brabyn
Journal:  Environ Monit Assess       Date:  2015-05-19       Impact factor: 2.513

2.  An optical water type framework for selecting and blending retrievals from bio-optical algorithms in lakes and coastal waters.

Authors:  Timothy S Moore; Mark D Dowell; Shane Bradt; Antonio Ruiz Verdu
Journal:  Remote Sens Environ       Date:  2014-03-05       Impact factor: 10.164

3.  A harmful algal bloom of Karenia brevis in the northeastern Gulf of Mexico as revealed by MODIS and VIIRS: a comparison.

Authors:  Chuanmin Hu; Brian B Barnes; Lin Qi; Alina A Corcoran
Journal:  Sensors (Basel)       Date:  2015-01-28       Impact factor: 3.576

4.  Assessment of Chlorophyll-a Algorithms Considering Different Trophic Statuses and Optimal Bands.

Authors:  Salem Ibrahim Salem; Hiroto Higa; Hyungjun Kim; Hiroshi Kobayashi; Kazuo Oki; Taikan Oki
Journal:  Sensors (Basel)       Date:  2017-07-31       Impact factor: 3.576

Review 5.  Satellite remote sensing of harmful algal blooms (HABs) and a potential synthesized framework.

Authors:  Li Shen; Huiping Xu; Xulin Guo
Journal:  Sensors (Basel)       Date:  2012-06-07       Impact factor: 3.576

  5 in total

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