Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Jolliff, Jason K., Lewis, M. David, Ladner, Sherwin, Crout, Richard L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
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
_version_ 1783454888547581952
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
work_keys_str_mv AT jolliffjasonk observingtheoceansubmesoscalewithenhancedcolorgoesabivisiblebanddata
AT lewismdavid observingtheoceansubmesoscalewithenhancedcolorgoesabivisiblebanddata
AT ladnersherwin observingtheoceansubmesoscalewithenhancedcolorgoesabivisiblebanddata
AT croutrichardl observingtheoceansubmesoscalewithenhancedcolorgoesabivisiblebanddata