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Ocean color patterns help to predict depth of optical layers in stratified coastal waters

J. Appl. Remote Sens. 5, 053548 (Sep 02, 2011); http://dx.doi.org/10.1117/1.3634055

Martín A. Montes-Hugo

Mississippi State University, Geosystems Research Institute, Starkville, Mississippi 39529

Alan Weidemann, Richard Gould, Robert Arnone, and Ewa Jaroz

NASA, Stennis Space Center, Naval Research Lab, Hancock, Mississippi 39529 alan.weidemann@nrlssc.navy.mil; Rick.Gould@nrlssc.navy.mil; Bob.Arnone@nrlssc.navy.mil; ewa.jarosz@nrlssc.navy.mil

James H. Churnside

NOAA, Earth System Research Laboratory, Boulder, Colorado 80305 James.H.Churnside@noaa.gov

Subsurface optical layers distributed at two different depths were investigated in Monterrey Bay, East Sound, and the Black Sea based on spatial statistics of remote sensing reflectance (Rrs). The main objective of this study was to evaluate the use of Rrs(443)/Rrs(490) (hereafter R1) skewness (ψ) as an indicator of vertical optical structure in different marine regions. Measurements of inherent optical properties were obtained using a remotely operated towed vehicle and R1 was theoretically derived from optical profiles. Although the broad range of trophic status and water stratification, a common statistical pattern consisting of lower ψR1—a deeper optical layer was found in all study cases. This variation was attributed to optical changes above the opticline and related to horizontal variability of particulates and spectral variations with depth. We recommend more comparisons in stratified coastal waters with different phytoplankton communities before the use of ψR1 can be generalized as a noninvasive optical proxy for screening depth changes on subsurface optical layers.

© 2011 Society of Photo-Optical Instrumentation Engineers (SPIE)

History
Received Dec 20, 2010
Accepted Aug 18, 2011
Revised Aug 10, 2011
Published online Sep 02, 2011
Citation
Martín A. Montes-Hugo, Alan Weidemann, Richard Gould, Robert Arnone, James H. Churnside and Ewa Jaroz, "Ocean color patterns help to predict depth of optical layers in stratified coastal waters", J. Appl. Remote Sens. 5, 053548 (Sep 02, 2011); http://dx.doi.org/10.1117/1.3634055

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