Observing the Ocean Submesoscale with Enhanced-Color Goes-Abi Visible Band Data

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 (similar to 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.

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Document Details

Document Type
Technical Report
Publication Date
Sep 10, 2019
Accession Number
AD1098289

Entities

People

  • Jason K. Jolliff
  • M. D. Lewis
  • Richard L. Crout
  • Sherwin D. Ladner

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Sensors
  • Space

DTIC Thesaurus Topics

  • Artificial Satellites
  • Birds
  • Colorimetric Analysis
  • Detectors
  • Estimators
  • Geosynchronous Satellites
  • Ocean Currents
  • Oceans
  • Optical Properties
  • Remote Sensing
  • Satellite Orbits
  • Sea Surface Temperature
  • Spectra
  • Surface Temperature
  • Temperature Gradients
  • Unmanned Aerial Vehicles
  • Visible Spectra

Fields of Study

  • Environmental science

Readers

  • Image Processing and Computer Vision.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • Space