

FOLLOWUS
National Satellite Ocean Application Service
纸质出版:2006
Scan QR Code
A research on statistical retrieval algorithms and spectral characteristics of the total absorption coefficients in the Yellow Sea and the East China Sea[J]. 海洋湖沼学报(英文), 2006,24(3):236-242.
Xiaomei, W., Junwu, T., Qingjun, S. et al. A research on statistical retrieval algorithms and spectral characteristics of the total absorption coefficients in the Yellow Sea and the East China Sea., Chin. J. Ocean. Limnol. 24, 236–242 (2006). https://doi.org/10.1007/BF02842622
A research on statistical retrieval algorithms and spectral characteristics of the total absorption coefficients in the Yellow Sea and the East China Sea[J]. 海洋湖沼学报(英文), 2006,24(3):236-242. DOI: 10.1007/BF02842622.
Xiaomei, W., Junwu, T., Qingjun, S. et al. A research on statistical retrieval algorithms and spectral characteristics of the total absorption coefficients in the Yellow Sea and the East China Sea., Chin. J. Ocean. Limnol. 24, 236–242 (2006). https://doi.org/10.1007/BF02842622 DOI:
This paper suggests a group of statistical algorithms for calculating the total absorption co-efficients based onin situ data of apparent optical property and inherent optical property collected with strict quality assurance according to NASA ocean bio-optic protocols in the Yellow Sea and the East China Sea in spring 2003. The band-ratios ofR rs555
R rs555 are used in the algorithms to derive the total absorption coefficients (a 1) at 412
440
488
510
532 and 555nm bands
respectively. The average relative errors between inversed and measured values are less than 25.8%
with the correlative coefficients (R 2) being 0.75–0.85. Error sensitivity analysis shows that the maximum retrieval error is less than 24.0% at ±5% error inR rs's. So the statistical algorithms of this paper are practicable. In this paper
the relations between the total absorption coefficients at 412
488
510
532
555 nm and that of 440nm are also studied. The results show that the relations between the total absorption coefficients of 400–600 nm and that of 440 nm are correlated well and all of their correlative coefficientsR 2 are greater than 0.99. Furthermore
a regression analysis is also done for the slope of the linear relations and wavelengths
and theR 2 is also 0.99. Thus it is possible to retrieve other bands' total absorption coefficients with only one band absorption value
which significantly reduce the number of unknown parameters in studying other ocean color related problems.
Austin, R. W. and T. J. Petzold, 1986. Spectral dependence of the diffuse attenuation coefficient of light in ocean waters.Opt. Eng. 25: 473–479.
Gordon, H. R., O. B. Brown and M. M. Jacobs, 1975. Computed relationship between the inherent and apparent optical properties of a flat homogeneous ocean.Applied Optics 14: 417–427.
He, M. X., Z. S. Liu et al., 2000. Retrieval of chlorophyll from remote-sensing reflectance in the China seas.Applied Optics 39(15):2467–2474.
IOCCG, 2000. Remote Sensing of Ocean Color in Coastal, and Other Optically-Complex Waters. Report Number 3, 23–46.
Lee, Z. P., K. L. Carder et al., 1998. An empirical algorithm for light absorption by ocean water based on color.Journal of Geophysical Research 103(C12): 967–978.
Morel, A. and L. Prieur, 1977. Analysis of variation in ocean color.Limnology and Oceanography 22: 709–722.
Mueller, J. L. and G. S. Fargion, 2002. Ocean Optics Protocols for Satellite Ocean Color Sensor Validation, Rev 3rd ed. NASA/TM-2002-21004/Rev3 v1/v2.
Pegau, W. S., J. S. Cleveland, W. Doss, C. D. Kennedy, R. A. Maffione, J. L. Mueller, R. Stone, C. C. Trees, A. D. Weidemann, W. H. Wells, and J. R. V. Zaneveld, 1995. A comparison of methods for the measurement of the absorption coefficient in natural waters.Journal of Geophysical Research 100: 13201–13220.
Prieur, L. and S. Sathyendranath, 1981. An optical classification of coastal and oceanic waters based on the specific spectral absorption curves of phytoplankton pigments, dissolved organic matter, and other articulate materials.Limnology and Oceanography 26: 671–689.
Sydor, M., R. A. Arnone et al., 1998. Remote-sensing technique for determination of the volume absorption coefficient of turbid water.Applied Optics 37(21): 4944–4950.
Sathyendranath, S., L. Prieur and A. Morel, 1989. A three-component model of ocean color and its application to remote sensing of phytoplankton pigments in coastal waters.International Journal of Remote Sensing 10(8): 1373–1394.
Tang, J. W., 1999. The Simulation of Marine Optical Properties and Color Sensing Models: (Dissertation). Beijing: Institute of Remote Sensing Applications, Chinese Academy of Sciences. (in Chinese).
Tang, J. W., G. L. Tian, X. Y. Wang et al., 2004. Water spectra measurement and analysis: I. Above-water method.Journal of Remote Sensing 8(1):37–44. (in Chinese)
Tang, J. W., X. M. Wang, Q. J. Song et al., 2004. The statistic inversion algorithms of water constituents for the Yellow Sea and the East China Sea.Acta Oceanologica Sinica 23(4): 617–626.
Voss, K. J., 1992. A spectral model of the beam attenuation coefficient in the ocean and coastal areas.Limnology and Oceanography 37: 501–509.
0
浏览量
2
Downloads
1
CSCD
关联资源
相关文章
相关作者
相关机构

京公网安备11010802024621