&lt;title&gt;Optical characteristics of seawater in the North Pacific Ocean&lt;/title&gt;

Kishino, Motoaki; Ishizaka, Joji; Satoh, Hiroyuki; Kusaka, Keisaku; Saitoh, Sei–Ichi; Miyoi, Takako; Kawasaki, Kiyoshi

doi:10.1117/12.266438

Cited by 2 publications

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“…Among the different algorithms presented here, the algorithms of Werdell and Zhang and Fell [2007] do not propose any direct estimates of K d ( λ ), for λ ≠ 490 nm. Note that K d ( λ ) at other wavelengths can be estimated from K d (490) through empirical relationships [ Austin and Petzold , 1986; Kishino et al , 1996]. However, Loisel et al [2001] showed that these relationships are not universal for wavelengths other than 490 nm.…”

Section: Resultsmentioning

confidence: 99%

“…But these latter methods only estimate K d at 490 nm. Based on K d (490), K d ( λ ) can be estimated for other wavelengths ( λ ) by using empirical relationships between K d (490) and K d ( λ ) [ Austin and Petzold , 1986; Kishino et al , 1996]. Empirical algorithms based on spectral relationships between K d ( λ ) and the chlorophyll‐a concentration, Chla , allow, by construction, the retrieval of K d ( λ ) at any visible wavelengths [ Morel , 1988; Morel and Maritorena , 2001; Morel et al , 2007].…”

Section: Introductionmentioning

confidence: 99%

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Retrieval of the spectral diffuse attenuation coefficientK_d(λ) in open and coastal ocean waters using a neural network inversion

2012

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[1] The diffuse attenuation coefficient, K d (l) is a fundamental radiometric parameter that is used to assess the light availability in the water column. A neural network approach is developed to assess K d (l) at any visible wavelengths from the remote sensing reflectances as measured by the SeaWiFS satellite sensor. The neural network (NN) inversion is trained using a combination of simulated and in-situ data sets covering a broad range of K d (l), between 0.0073 m À1 at 412 nm and 12.41 m À1 at 510 nm. The performance of the retrieval is evaluated against two data sets, one consisting of mainly synthetic data while the other one contains in-situ data only and is compared to those obtained with previous published empirical (NASA, Morel and Maritorena (2001) and Zhang and Fell (2007)) and semi-analytical (Lee et al., 2005b) algorithms. On the in-situ data set from the COASTLOOC campaign, the retrieval accuracy of the present algorithm is quite similar to published algorithms for oligotrophic and mesotrophic ocean waters. But for Kd (490)

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Retrieval of the spectral diffuse attenuation coefficientK_d(λ) in open and coastal ocean waters using a neural network inversion

2012

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Temporal and spatial patterns of chemotaxonomic algal pigments in the subarctic Pacific and the Bering Sea during the early summer of 1999

Suzuki

Minami

Liu

et al. 2002

Deep Sea Research Part II: Topical Studies in Oceanography

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<title>Optical characteristics of seawater in the North Pacific Ocean</title>

Cited by 2 publications

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Retrieval of the spectral diffuse attenuation coefficientK_d(λ) in open and coastal ocean waters using a neural network inversion

Retrieval of the spectral diffuse attenuation coefficientK_d(λ) in open and coastal ocean waters using a neural network inversion

Temporal and spatial patterns of chemotaxonomic algal pigments in the subarctic Pacific and the Bering Sea during the early summer of 1999

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<title>Optical characteristics of seawater in the North Pacific Ocean</title>

Cited by 2 publications

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Retrieval of the spectral diffuse attenuation coefficientKd(λ) in open and coastal ocean waters using a neural network inversion

Retrieval of the spectral diffuse attenuation coefficientKd(λ) in open and coastal ocean waters using a neural network inversion

Temporal and spatial patterns of chemotaxonomic algal pigments in the subarctic Pacific and the Bering Sea during the early summer of 1999

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Retrieval of the spectral diffuse attenuation coefficientK_d(λ) in open and coastal ocean waters using a neural network inversion

Retrieval of the spectral diffuse attenuation coefficientK_d(λ) in open and coastal ocean waters using a neural network inversion