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Article

One- and Two-Band Sensors and Algorithms to Derive aCDOM(440) from Global Above- and In-Water Optical Observations

1
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
2
Department of Geography, University of California, Los Angeles, CA 90095, USA
3
Biospherical Instruments Inc., San Diego, CA 92110, USA
4
Faculty of Environmental Earth Science, Hokkaido University, Sapporo 060-0810, Japan
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editor: Sietse Los
Sensors 2021, 21(16), 5384; https://doi.org/10.3390/s21165384
Received: 9 April 2021 / Revised: 16 July 2021 / Accepted: 3 August 2021 / Published: 9 August 2021
(This article belongs to the Section Optical Sensors)
The colored (or chromophoric, depending on the literature) dissolved organic matter (CDOM) spectral absorption coefficient, aCDOM(λ), is a variable of global interest that has broad application in the study of biogeochemical processes. Within the funding for scientific research, there is an overarching trend towards increasing the scale of observations both temporally and spatially, while simultaneously reducing the cost per sample, driving a systemic shift towards autonomous sensors and observations. Legacy aCDOM(λ) measurement techniques can be cost-prohibitive and do not lend themselves toward autonomous systems. Spectrally rich datasets carefully collected with advanced optical systems in diverse locations that span a global range of water bodies, in conjunction with appropriate quality assurance and processing, allow for the analysis of methods and algorithms to estimate aCDOM(440) from spectrally constrained one- and two-band subsets of the data. The resulting algorithms were evaluated with respect to established fit-for-purpose criteria as well as quality assured archival data. Existing and proposed optical sensors capable of exploiting the algorithms and intended for autonomous platforms are identified and discussed. One-band in-water algorithms and two-band above-water algorithms showed the most promise for practical use (accuracy of 3.0% and 6.5%, respectively), with the latter demonstrated for an airborne dataset. View Full-Text
Keywords: ocean color; global (oceanic, coastal, and inland) waters; end members; radiometers; PAR; hybridnamic; autonomous (AUV, USV, UAV, and float) platforms; remote sensing ocean color; global (oceanic, coastal, and inland) waters; end members; radiometers; PAR; hybridnamic; autonomous (AUV, USV, UAV, and float) platforms; remote sensing
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MDPI and ACS Style

Hooker, S.B.; Houskeeper, H.F.; Lind, R.N.; Suzuki, K. One- and Two-Band Sensors and Algorithms to Derive aCDOM(440) from Global Above- and In-Water Optical Observations. Sensors 2021, 21, 5384. https://doi.org/10.3390/s21165384

AMA Style

Hooker SB, Houskeeper HF, Lind RN, Suzuki K. One- and Two-Band Sensors and Algorithms to Derive aCDOM(440) from Global Above- and In-Water Optical Observations. Sensors. 2021; 21(16):5384. https://doi.org/10.3390/s21165384

Chicago/Turabian Style

Hooker, Stanford B., Henry F. Houskeeper, Randall N. Lind, and Koji Suzuki. 2021. "One- and Two-Band Sensors and Algorithms to Derive aCDOM(440) from Global Above- and In-Water Optical Observations" Sensors 21, no. 16: 5384. https://doi.org/10.3390/s21165384

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