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Sensors 2016, 16(10), 1749; doi:10.3390/s16101749

Developing Benthic Class Specific, Chlorophyll-a Retrieving Algorithms for Optically-Shallow Water Using SeaWiFS

1
Department of Earth and Environment, Florida International University, Miami, FL 33199, USA
2
GIT Consulting, Coral Gables, FL 33134, USA
3
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20742, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Jason K. Levy
Received: 16 August 2016 / Revised: 12 October 2016 / Accepted: 13 October 2016 / Published: 20 October 2016
(This article belongs to the Special Issue Sensors and Sensing in Water Quality Assessment and Monitoring)
View Full-Text   |   Download PDF [1356 KB, uploaded 20 October 2016]   |  

Abstract

This study evaluated the ability to improve Sea-Viewing Wide Field-of-View Sensor (SeaWiFS) chl-a retrieval from optically shallow coastal waters by applying algorithms specific to the pixels’ benthic class. The form of the Ocean Color (OC) algorithm was assumed for this study. The operational atmospheric correction producing Level 2 SeaWiFS data was retained since the focus of this study was on establishing the benefit from the alternative specification of the bio-optical algorithm. Benthic class was determined through satellite image-based classification methods. Accuracy of the chl-a algorithms evaluated was determined through comparison with coincident in situ measurements of chl-a. The regionally-tuned models that were allowed to vary by benthic class produced more accurate estimates of chl-a than the single, unified regionally-tuned model. Mean absolute percent difference was approximately 70% for the regionally-tuned, benthic class-specific algorithms. Evaluation of the residuals indicated the potential for further improvement to chl-a estimation through finer characterization of benthic environments. Atmospheric correction procedures specialized to coastal environments were recognized as areas for future improvement as these procedures would improve both classification and algorithm tuning. View Full-Text
Keywords: chl-a; water quality; eutrophication; optically shallow; bottom reflectance; SeaWiFS; ocean color remote sensing; validation; modeling; algorithms chl-a; water quality; eutrophication; optically shallow; bottom reflectance; SeaWiFS; ocean color remote sensing; validation; modeling; algorithms
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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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MDPI and ACS Style

Blakey, T.; Melesse, A.; Sukop, M.C.; Tachiev, G.; Whitman, D.; Miralles-Wilhelm, F. Developing Benthic Class Specific, Chlorophyll-a Retrieving Algorithms for Optically-Shallow Water Using SeaWiFS. Sensors 2016, 16, 1749.

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