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Verification and Validation of Hybridspectral Radiometry Obtained from an Unmanned Surface Vessel (USV) in the Open and Coastal Oceans The hardware and software capabilities of the compact-profiling hybrid instrumentation for radiometry and ecology (C-PHIRE) instruments on an unmanned surface vessel (USV) are evaluated. Both the radiometers and USV are commercial-off-the-shelf (COTS) products, with the latter being only minimally modified to deploy the C-PHIRE instruments. The hybridspectral C-PHIRE instruments consist of an array of 18 multispectral microradiometers with 10 nm wavebands spanning 320–875 nm plus a hyperspectral compact grating spectrometer (CGS) with 2048 pixels spanning 190–1000 nm. The C-PHIRE data were acquired and processed using two architecturally linked software packages, thereby allowing lessons learned in one to be applied to the other. Using standard data products and unbiased statistics, the C-PHIRE data were validated with those from the well-established compact-optical profiling system (C-OPS) and verified with the marine optical buoy (MOBY). Agreement between algorithm variables used to estimate colored dissolved organic matter (CDOM) absorption and chlorophyll a concentration were also validated. Developing and operating novel technologies, such as the C-PHIRE series of instruments, deployed on a USV increase the frequency and coverage of optical observations, which are required to fully support the present and next-generation validation exercises in radiometric remote sensing of aquatic ecosystems.
Document ID
20220010519
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Stanford B. Hooker
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Henry F. Houskeeper ORCID
(University of California, Los Angeles Los Angeles, California, United States)
Randall N. Lind
(Biospherical Instruments (United States) San Diego, California, United States)
Raphael M. Kudela ORCID
(University of California, Santa Cruz Santa Cruz, California, United States)
Koji Suzuki ORCID
(Hokkaido University Sapporo, Hokkaidô, Japan)
Date Acquired
July 12, 2022
Publication Date
February 23, 2022
Publication Information
Publication: Remote Sensing
Publisher: MDPI
Volume: 14
Issue: 5
Issue Publication Date: March 1, 2022
e-ISSN: 2072-4292
Subject Category
Earth Resources and Remote Sensing
Funding Number(s)
WBS: 509496.02.08.13.95
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
Keywords
Hybridspectral
hyperspectral
multispectral
radiometry
vicarious calibration
algorithm validation
CVR
end-member analysis
hydrobaric
thrusters
autonomous
USV
Ocean Color
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