Hyperspectral determination of ocean color as an ocean monitoring tool: example applications in the Gulf of Mexico

Jason K. Jolliff; Sherwin Ladner; David Lewis; Ewa Jarosz; Adam Lawson; Travis Smith; Allison Penko; Sean McCarthy

doi:10.1117/12.2307253

25 May 2018 Hyperspectral determination of ocean color as an ocean monitoring tool: example applications in the Gulf of Mexico

Jason K. Jolliff, Sherwin Ladner, David Lewis, Ewa Jarosz, Adam Lawson, Travis Smith, Allison Penko, Sean McCarthy

Author Affiliations +

Proceedings Volume 10631, Ocean Sensing and Monitoring X; 1063104 (2018) https://doi.org/10.1117/12.2307253
Event: SPIE Defense + Security, 2018, Orlando, FL, United States

Abstract

The combination of increased spectral resolution for in situ ocean optical instrumentation as well as future ocean remote sensing missions (e.g., PACE) provides an opportunity to examine new methods of analysis and ocean monitoring that were not feasible during the multispectral satellite era. For example, hyperspectral data enables a much more precise determination of the apparent true color for natural waters, one based on the full spectral shape of water-leaving radiance distributions. Herein we provide examples of how specific integrated biogeo-optical and physical processes in the northern Gulf of Mexico have characteristic hyperspectral signatures, and thusly, characteristic true color identifiers. Our emergent hypothesis is that once the characteristic hyperspectral color signature of a specific biophysical process is known, it can be detected and monitored even with multispectral or broad-band response digital imaging systems. To test this hypothesis, we examine archived imagery from MODIS and HICO to identify putative bottom boundary layer ventilation events along divergent shelf-frontal boundaries across the northern Gulf continental margin. Whereas on-demand in situ physical data that provide spatiotemporal correspondence with archived images are not available, we employ the data-assimilative Coupled Ocean-Atmosphere Mesoscale Prediction System (COAMPS) as a physical data surrogate. Preliminary results of this method appear to support the hypothesis, with the caveat that model results must be interpreted with due caution.

Conference Presentation

Citation Download Citation

Jason K. Jolliff, Sherwin Ladner, David Lewis, Ewa Jarosz, Adam Lawson, Travis Smith, Allison Penko, and Sean McCarthy "Hyperspectral determination of ocean color as an ocean monitoring tool: example applications in the Gulf of Mexico", Proc. SPIE 10631, Ocean Sensing and Monitoring X, 1063104 (25 May 2018); https://doi.org/10.1117/12.2307253

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