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Remote Sens. 2016, 8(10), 871; doi:10.3390/rs8100871

Investigation of Spectral Band Requirements for Improving Retrievals of Phytoplankton Functional Types

1
Institute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, D-28359 Bremen, Germany
2
Helmholtz Center Potsdam, GFZ German Research Center for Geosciences, Telegrafenberg A17, 14473 Potsdam, Germany
3
Alfred-Wegener-Institute Helmholtz Center for Polar and Marine Research, Bussestrasse 24, D-27570 Bremerhaven, Germany
*
Author to whom correspondence should be addressed.
Academic Editors: Raphael M. Kudela, Deepak R. Mishra, Xiaofeng Li and Prasad S. Thenkabail
Received: 14 June 2016 / Revised: 5 October 2016 / Accepted: 14 October 2016 / Published: 22 October 2016
View Full-Text   |   Download PDF [1355 KB, uploaded 22 October 2016]   |  

Abstract

Studying phytoplankton functional types (PFTs) from space is possible due to recent advances in remote sensing. Though a variety of products are available, the limited number of wavelengths available compared to the number of model parameters needed to be retrieved is still a major problem in using ocean-color data for PFT retrievals. Here, we investigated which band placement could improve retrievals of three particular PFTs (diatoms, coccolithophores and cyanobacteria). In addition to analyzing dominant spectral features in the absorption spectra of the target PFTs, two previously-developed methods using measured spectra were applied to simulated data. Such a synthetic dataset allowed for significantly increasing the number of scenarios and enabled a full control over parameters causing spectral changes. We evaluated the chosen band placement by applying an adapted ocean reflectance inversion, as utilized in the generalized inherent optical properties (GIOP) retrieval. Results show that the optimal band settings depend on the method applied to determine the bands placement, as well as on the internal variability of the dataset investigated. Therefore, continuous hyperspectral instruments would be most beneficial for discriminating multiple PFTs, though a small improvement in spectral sampling and resolution does not significantly modify the results. Bands, which could be added to future instruments (e.g., Ocean and Land Colour Instrument (OLCI) instrument on the upcoming Sentinel-3B,-3C,-3D, etc., and further satellites) in order to enhance PFT retrieval capabilities, were also determined. View Full-Text
Keywords: ocean color; phytoplankton functional types; remote sensing; retrievals; modeling; derivative analysis ocean color; phytoplankton functional types; remote sensing; retrievals; modeling; derivative analysis
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Wolanin, A.; Soppa, M.A.; Bracher, A. Investigation of Spectral Band Requirements for Improving Retrievals of Phytoplankton Functional Types. Remote Sens. 2016, 8, 871.

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