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Observing the Ocean Submesoscale with Enhanced-Color GOES-ABI Visible Band Data
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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767312/ https://www.ncbi.nlm.nih.gov/pubmed/31510035 http://dx.doi.org/10.3390/s19183900 |
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author | Jolliff, Jason K. Lewis, M. David Ladner, Sherwin Crout, Richard L. |
author_facet | Jolliff, Jason K. Lewis, M. David Ladner, Sherwin Crout, Richard L. |
author_sort | Jolliff, Jason K. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6767312 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-67673122019-10-02 Observing the Ocean Submesoscale with Enhanced-Color GOES-ABI Visible Band Data Jolliff, Jason K. Lewis, M. David Ladner, Sherwin Crout, Richard L. Sensors (Basel) Article 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. MDPI 2019-09-10 /pmc/articles/PMC6767312/ /pubmed/31510035 http://dx.doi.org/10.3390/s19183900 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Jolliff, Jason K. Lewis, M. David Ladner, Sherwin Crout, Richard L. Observing the Ocean Submesoscale with Enhanced-Color GOES-ABI Visible Band Data |
title | Observing the Ocean Submesoscale with Enhanced-Color GOES-ABI Visible Band Data |
title_full | Observing the Ocean Submesoscale with Enhanced-Color GOES-ABI Visible Band Data |
title_fullStr | Observing the Ocean Submesoscale with Enhanced-Color GOES-ABI Visible Band Data |
title_full_unstemmed | Observing the Ocean Submesoscale with Enhanced-Color GOES-ABI Visible Band Data |
title_short | Observing the Ocean Submesoscale with Enhanced-Color GOES-ABI Visible Band Data |
title_sort | observing the ocean submesoscale with enhanced-color goes-abi visible band data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767312/ https://www.ncbi.nlm.nih.gov/pubmed/31510035 http://dx.doi.org/10.3390/s19183900 |
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