CONFERENCE PROCEEDINGS
Advanced Search
Home > Journals > J. Appl. Rem. Sens. > Volume 9 > Issue 1 > Article
Open Access
6 November 2015 Bio-optical model to describe remote sensing signals from a stratified ocean
James H. Churnside
Author Affiliations +
Journal of Applied Remote Sensing, Vol. 9, Issue 1, 095989 (November 2015). https://doi.org/10.1117/1.JRS.9.095989
Abstract
We use a bio-optical model of the optical properties of natural seawater to investigate the effects of subsurface chlorophyll layers on passive and active remote sensors. A thin layer of enhanced chlorophyll concentration reduces the remote sensing reflectance in the blue, while having little effect in the green. As a result, the chlorophyll concentration inferred from ocean color instruments will fall between the background concentration and the concentration in the layer, depending on the concentrations and the depth of the layer. For lidar, an iterative inversion algorithm is described that can reproduce the chlorophyll profile within the limits of the model. The model is extended to estimate column-integrated primary productivity, demonstrating that layers can contribute significantly to overall productivity. This contribution also depends on the chlorophyll concentrations and the depth of the layer. Using passive remote sensing alone to estimate primary productivity can lead to significant underestimation in the presence of subsurface plankton layers. Active remote sensing is not affected by this bias.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Citation Download Citation
James H. Churnside "Bio-optical model to describe remote sensing signals from a stratified ocean," Journal of Applied Remote Sensing 9(1), 095989 (6 November 2015). https://doi.org/10.1117/1.JRS.9.095989
Published: 6 November 2015
JOURNAL ARTICLE
 14 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Lens.org Logo
CITATIONS
Cited by 5 scholarly publications.
Advertisement
Advertisement
KEYWORDS
Remote sensing
LIDAR
Reflectivity
Signal attenuation
Scattering
Data modeling
Atmospheric modeling
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top