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

Hooker, Stanford B.; Houskeeper, Henry F.; Lind, Randall N.; Suzuki, Koji

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

Hooker, Stanford B.; Houskeeper, Henry F.; Lind, Randall N. et al.

Sensors, 2021, 21(16), 5384

Permalink : https://hdl.handle.net/2115/82916

このアイテムのアクセス数:380件（2026-04-24 16:55 集計）

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論文情報

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アクセス権	open access
URI	https://hdl.handle.net/2115/82916
タイトル	One- and Two-Band Sensors and Algorithms to Derive a(CDOM)(440) from Global Above- and In-Water Optical Observations
著者	Hooker, Stanford B. ; Houskeeper, Henry F. ; Lind, Randall N. ; Suzuki, Koji
著者名 Hooker, Stanford B.
著者名 Houskeeper, Henry F.
著者名 Lind, Randall N.
e-Rad_Researcher 40283452 著者名 Suzuki, Koji
言語	英語
キーワード	ocean color
	global (oceanic, coastal, and inland) waters
	end members
	radiometers
	PAR
	hybridnamic
	autonomous (AUV, USV, UAV, and float) platforms
	remote sensing
発行日	2021-08
出版者	MDPI
収録物名	Sensors
巻(号)	21(16)
ページ	5384
抄録	The colored (or chromophoric, depending on the literature) dissolved organic matter (CDOM) spectral absorption coefficient, aCDOM(lambda), 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(lambda) 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.
資源タイプ	学術雑誌論文
出版タイプ	Version of Record
EISSN	1424-8220
関連情報 (isIdenticalTo)	出版社版DOI https://doi.org/10.3390/s21165384