Estimating the underwater light field from remote sensing of ocean color |
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Authors: | Cheng-Chien Liu Richard L. Miller Kendall L. Carder Zhongping Lee Eurico J. D’Sa James E. Ivey |
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Affiliation: | (1) Department of Earth Sciences, National Cheng Kung University, Tainan, 701, Taiwan, R.O.C.;(2) Earth Science Applications Directorate, Stennis Space Center, NASA, MS, 39529, U.S.A.;(3) College of Marine Science, University of South Florida, St. Petersburg, FL, 33701, U.S.A.;(4) Naval Research Laboratory, Code 7340, Stennis Space Center, MS, 39529, U.S.A.;(5) Department of Oceanography and Coastal Sciences, Louisiana State University, Baton Rouge, LA, 70803, U.S.A.;(6) Disaster Prevention Research Center, National Cheng Kung University, Tainan, 701, Taiwan, R.O.C.;(7) Earth Dynamic System Research Center, National Cheng Kung University, Tainan, 701, Taiwan, R.O.C. |
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Abstract: | We present a new approach that incorporates two models to estimate the underwater light field from remote sensing of ocean color. The first employs a series of analytical, semi-analytical, and empirical algorithms to retrieve the spectrum of inherent optical properties (IOPs), including the absorption and the backscatter coefficients, from the spectrum of remote sensing reflectance. The second model computes the profile of photosynthetically available radiation E 0,PAR (z) for a vertically homogeneous water column using the information of the retrieved IOPs and the ambient optical environment. This computation is based on an improved look-up table technology that possesses high accuracy, comparable with the full solution of the radiative transfer equation, and meets the computational requirement of remote sensing application. This new approach was validated by in situ measurements and an extensive model-to-model comparison with a wide range of IOPs. We successfully mapped the compensation depth by applying this new approach to process the SeaWiFS imagery. This research suggests that E 0,PAR (z) can be obtained routinely from ocean-color data and may have significant implications for the estimation of global heat and carbon budget. |
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Keywords: | Photosynthetically available radiation ocean color radiative transfer ocean optics compensation depth |
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