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Article

Observing the Ocean Submesoscale with Enhanced-Color GOES-ABI Visible Band Data

U.S. Naval Research Laboratory, Stennis Space Center, Hancock County, MS 39529, USA
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(18), 3900; https://doi.org/10.3390/s19183900
Submission received: 9 August 2019 / Revised: 29 August 2019 / Accepted: 4 September 2019 / Published: 10 September 2019
(This article belongs to the Special Issue Remote Sensing Applications in Coastal Areas)

Abstract

Ocean color remote sensing has long been utilized as a fundamental research tool in the oceanographic investigations of coupled biological-physical processes. Despite numerous technical advances in the application of space borne ocean-viewing radiometers, host satellite platforms in a polar-orbiting configuration often render the temporal frequency of sensor data acquisition insufficient for studies of ocean processes that occur within increasingly smaller space-time scales. Whereas geostationary ocean color missions are presently the exception (GOCI) rather than the rule, this paper presents a method to convolve ocean reflectance data obtained from contemporary ocean-viewing multispectral radiometers (VIIRS, OLCI) with spectrally-limited Advanced Baseline Imager (ABI) data obtained from the GOES-R meteorological satellites. The method, Chromatic Domain Mapping (CDM), employs a colorimetry approach to visible range ocean reflectance data. The true color space is used as a frame-of-reference that is mapped by the dedicated yet temporally sparse ocean color sensors; coincident and spectrally coarse information from ABI is then used to estimate the evolution of the true color scene. The procedure results in very high resolution (~5 min) true color image sequences. Herein, example CDM applications of rapid frontal boundary evolution and feature displacement in the Gulf of Mexico are presented and future applications of this technique are discussed.
Keywords: ocean remote sensing; ocean color; coastal ocean processes; colorimetry ocean remote sensing; ocean color; coastal ocean processes; colorimetry

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MDPI and ACS Style

Jolliff, J.K.; Lewis, M.D.; Ladner, S.; Crout, R.L. Observing the Ocean Submesoscale with Enhanced-Color GOES-ABI Visible Band Data. Sensors 2019, 19, 3900. https://doi.org/10.3390/s19183900

AMA Style

Jolliff JK, Lewis MD, Ladner S, Crout RL. Observing the Ocean Submesoscale with Enhanced-Color GOES-ABI Visible Band Data. Sensors. 2019; 19(18):3900. https://doi.org/10.3390/s19183900

Chicago/Turabian Style

Jolliff, Jason K., M. David Lewis, Sherwin Ladner, and Richard L. Crout. 2019. "Observing the Ocean Submesoscale with Enhanced-Color GOES-ABI Visible Band Data" Sensors 19, no. 18: 3900. https://doi.org/10.3390/s19183900

APA Style

Jolliff, J. K., Lewis, M. D., Ladner, S., & Crout, R. L. (2019). Observing the Ocean Submesoscale with Enhanced-Color GOES-ABI Visible Band Data. Sensors, 19(18), 3900. https://doi.org/10.3390/s19183900

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