Remote sensing retrieval of total absorption coefficient in the Bohai Sea

Song Qing; Jie Zhang; Tingwei Cui; Yuhai Bao

doi:10.1007/s00343-012-1238-0

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Remote sensing retrieval of total absorption coefficient in the Bohai Sea

Updated：2023-05-16

- Remote sensing retrieval of total absorption coefficient in the Bohai Sea
- Journal of Oceanology and Limnology Vol. 30, Issue 5, Pages: 806-813(2012)
- Affiliations：
  
  1. Inner Mongolian Key Laboratory of Remote Sensing and Geography Information System Inner Mongolia Normal University
  2. College of Geographical Science Inner Mongolia Normal University
  3. The First Institute of Oceanography SOA
- Author bio：
- Funds：
- DOI：10.1007/s00343-012-1238-0
  CLC：
- Online First：05 September 2012，
  
  Published：2012
- Accepted：
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Qing, S., Zhang, J., Cui, T. et al. Remote sensing retrieval of total absorption coefficient in the Bohai Sea., Chin. J. Ocean. Limnol. 30, 806–813 (2012). https://doi.org/10.1007/s00343-012-1238-0
DOI：

Qing, S., Zhang, J., Cui, T. et al. Remote sensing retrieval of total absorption coefficient in the Bohai Sea., Chin. J. Ocean. Limnol. 30, 806–813 (2012). https://doi.org/10.1007/s00343-012-1238-0 DOI：

摘要

Abstract

Temporal and spatial patterns of inherent optical properties in the Bohai Sea are very complex. In this paper

we used 77 groups of field data of AOPs (apparent optical properties) and IOPs (inherent optical properties) collected in June

August

and September of 2005 in the Bohai Sea

to retrieve the spectral total absorption coefficient a(λ) with the quasi-analytical algorithm (QAA). For QAA implementation

different bands in the region 680–730 nm (in 5 nm intervals) were selected and compared

to determine the optimal band domain of the reference wavelength. On this basis

we proposed a new algorithm (QAA-Com)

a combination of QAA-685 and QAA-715

according to turbidity characterized by a(440). The percentage difference of model retrievals in the visible domain was between 4.5%–45.1%

in average of 18.8% for a(λ). The QAA model was then applied to Medium Resolution Imaging Spectrometer (MERIS) radiometric products

which were temporally and spatially matched with in-situ optical measurements. Differences between MERIS retrievals and in-situ values were in the range 9.2%–27.8% for a(λ) in the visible domain. Major errors in satellite retrieval are attributable to uncertainties of QAA model parameters and in-situ measurements

as well as imperfect atmospheric correction of MERIS data by the European Space Agency (ESA). During a storm surge in April 2009

time series of MERIS images together with the QAA model were used to analyze spatial and temporal variability of the total absorption coefficient pattern in the Bohai Sea. It is necessary to collect more independent field data to improve this algorithm.

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Keywords

references

Bélanger S, Babin M, Larouche P. 2008. An empirical ocean color algorithm for estimating the contribution of chromophoric dissolved organic matter to total light absorption in optically complex waters. J. Geophys. Res., 113: 1–14.

Cui T W, Zhang J, Groom S, Sun L, Smyth T, Sathyendranath S. 2010. Validation of MERIS ocean-color products in the Bohai Sea: a case study for turbid coastal waters. Remote Sensing of Environment, 114: 2 326–2 336.

Doxaran D, Cherukuru N, Lavender S J. 2006. Apparent and inherent optical properties of turbid estuarine waters: measurements, empirical quantification relationships, and modeling. Appl. Opt., 45: 2 310–2 324.

Hoge F E, Lyon P E. 1996. Satellite retrieval of inherent optical properties by linear matrix inversion of oceanic radiance models: an analysis of model and radiance measurement errors. J. Geophys. Res., 101: 16 631–16 648.

IOCCG. Remote Sensing of Inherent Optical Properties: Fundamentals, Tests of Algorithms, and Applications.

Lee Z P. Reports of the International Ocean-Colour Coordinating Group, No.5. (IOCCG, Dartmouth, Canada, 2006).

Le C F, Li Y M, Zha Y, Sun D Y, Yin B. 2009. Validation of a Quasi-Analytical Algorithm for highly turbid eutrophic water of Meiliang Bay in Taihu Lake, China. IEEE Trans. Geosci. Remote Sens., 47: 2 492–2 500.

Lee Z P, Carder K L, Peacock T G, Davis C O, Mueller J L. 1996. Method to derive ocean absorption coefficients from remote-sensing reflectance. Appl. Opt., 35: 453–462.

Lee Z P, Carder K L, Steward R G, Peacock T G. 1998. An empirical algorithm for light absorption by ocean water based on color. J. Geophys. Res., 103: 27 967–27 978.

Lee Z P, Carder K L, Arnone R A. 2002. Deriving inherent optical properties from water color: a multiband quasianalytical algorithm for optically deep waters. Appl. Opt., 41: 5 755–5 772.

Lee Z P, Lubac B, Werdell J, Arnone R. 2009. An Update of the Quasi-Analytical Algorithm (QAA_v5). http://www.ioccg.org/groups/software.html.

Qing S, Tang J W, Cui T W, Zhang J. 2011. Retrieval of inherent optical properties of the Yellow Sea and East China Sea using a quasi-analytical algorithm. Chinese Journal of Oceanology and Limnology, 29(1): 33–45.

Salinas S V, Chang C W, Liew S C. 2007. Multiparameter retrieval of water optical properties from above-water remote-sensing reflectance using the simulated annealing Algorithm. Appl. Opt., 46: 2 727–2 742.

Song Q J, Tang J W. 2006. The study on the scattering properties in the Huanghai Sea and East China Sea. Acta Oceanologica Sinica, 28: 56–63. (in Chinese with English abstract)

Tang J W, Chen O L, Tan S X, Dong Q, Miao W, Feng L X. 1998. Methods of oceanic spectral data measurement and analysis. Marine Science Bulletin, 17: 71–79.

Wang P, Boss E S, Roesler C. 2005. Uncertainties of inherent optical properties obtained from semianalytical inversions of ocean color. Appl. Opt., 44: 4 074–4 085.

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