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Ocean color products retrieval and validation around China coast with MODIS 被引量:5

Ocean color products retrieval and validation around China coast with MODIS
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摘要 Waters along China coast are very turbid with high concentrations of suspended sediment nearly all the time,especially at the Hangzhou Bay,the Changjiang (Yangtze) River Estuary and the shoal along Jiangsu Province.In these turbid and optically complex waters,the standard MODIS ocean color products tend to have invalid values.Because the water-leaving radiances in the near-infrared (NIR) are significant resulting from the strong scattering of suspended particles,the standard MODIS atmospheric correction algorithm often gets no results or produces significant errors.And because of the complex water optical properties,the OC3 model used in the standard MODIS data processing tends to get extremely high chlorophyll-a (Chl-a) concentrations.In this paper,we present an atmospheric correction approach using MODIS short wave infrared (SWIR) bands based on the fact that water-leaving radiances are negligible in the SWIR region because of the extreme strong absorption of water even in turbid waters.A regional Chl-a concentration estimation model is also constructed for MODIS from in situ data.These algorithms are applied to MODIS Aqua data processing in the China coastal regions.In situ data collected in the Yellow Sea and the East China Sea in spring and autumn,2003 are used to validate the performance.Reasonably good results have been obtained.It is noted that water-leaving reflectance in the NIR bands are significant in waters along the China coast with high sediment loadings.The satellite derived and in-situ reflectance spectra can match in the turbid waters along China coast,and there is relatively good linear relationship between satellite derived and in-situ reflectance.The RMSE value of Rrs(λ) is 0.0031 sr ?1 for all the nine ocean color bands (412 to 869 nm).The satellite-derived Chl-a value is in the reasonable range and the root mean square percentage difference is 46.1%. Waters along China coast are very turbid with high concentrations of suspended sediment nearly all the time,especially at the Hangzhou Bay,the Changjiang (Yangtze) River Estuary and the shoal along Jiangsu Province.In these turbid and optically complex waters,the standard MODIS ocean color products tend to have invalid values.Because the water-leaving radiances in the near-infrared (NIR) are significant resulting from the strong scattering of suspended particles,the standard MODIS atmospheric correction algorithm often gets no results or produces significant errors.And because of the complex water optical properties,the OC3 model used in the standard MODIS data processing tends to get extremely high chlorophyll-a (Chl-a) concentrations.In this paper,we present an atmospheric correction approach using MODIS short wave infrared (SWIR) bands based on the fact that water-leaving radiances are negligible in the SWIR region because of the extreme strong absorption of water even in turbid waters.A regional Chl-a concentration estimation model is also constructed for MODIS from in situ data.These algorithms are applied to MODIS Aqua data processing in the China coastal regions.In situ data collected in the Yellow Sea and the East China Sea in spring and autumn,2003 are used to validate the performance.Reasonably good results have been obtained.It is noted that water-leaving reflectance in the NIR bands are significant in waters along the China coast with high sediment loadings.The satellite derived and in-situ reflectance spectra can match in the turbid waters along China coast,and there is relatively good linear relationship between satellite derived and in-situ reflectance.The RMSE value of Rrs(λ) is 0.0031 sr ?1 for all the nine ocean color bands (412 to 869 nm).The satellite-derived Chl-a value is in the reasonable range and the root mean square percentage difference is 46.1%.
出处 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2010年第4期21-27,共7页 海洋学报(英文版)
基金 The National Natural Science Foundation project of China under contract No.40606043 the National Basic Research Program of China under contract No.2006CB403702
关键词 ocean color atmospheric correction CHLOROPHYLL-A MODIS China coastal region VALIDATION ocean color,atmospheric correction,chlorophyll-a,MODIS,China coastal region,validation
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  • 1TANGJunwu,WANGXiaomei,SONGQingjun,LITongji,CHENJiezhong,HUANGHaijun,RENJingping.The statistic inversion algorithms of water constituents for the Huanghai Sea and the East China Sea[J].Acta Oceanologica Sinica,2004,23(4):617-626. 被引量:33
  • 2Wang M.The Rayleigh Lookup Tables for the SeaWiFS Data Processing:Accounting for the Effect of Ocean Surface Roughness[J].Int.J.Remote Sensing,2002,23(13):2693-2702.
  • 3NASA GSFC.SeaDAS 4.8.Available from http://oceancolor.gsfc.nasa.gov/seadas/download.html.
  • 4Antoine D,Morel A.A Multiple Scattering Algorithm for Atmospheric Correction of Remotely Sensed Ocean Color(MERIS Instrument):Principle and Implementation for Atmospheres Carrying Various Aerosols Including Absorbing Ones[J].Int.J.Remote Sens.,1999,20(9):1875-1916.
  • 5Fukushima H,Higurashi A,Mitomi Y,et al.Correction of Atmosphere Effect on ADEOS/OCTS Ocean Color Data:Algorithm Description and Evaluation of Its Performance[J].J.Oceanogr.,1998,54:417-430.
  • 6Vermote E,Tanre D.Analytical Expressions for Radiative Properties of Planar Rayleigh Scattering Media,Including Polarization Contributions[J].J.Quant.Spectrosc.Radiat.Transfer.,1992,47(4):305-314.
  • 7Vermote E,Tanre D,Deuze J L,et al.6S User Guide Version 2[M].Available from Website,1997.
  • 8汪小勇,李铜基.双通道高光谱地物波谱仪测量水体的遥感反射率[J].海洋技术,2003,22(3):20-24. 被引量:177
  • 9唐军武,田国良,汪小勇,王晓梅,宋庆君.水体光谱测量与分析Ⅰ:水面以上测量法[J].遥感学报,2004,8(1):37-44. 被引量:238

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  • 1张戈,夏建新,杜蕾,王大成,王树东.Landsat8和Sentinel-2A的水体指数比较与协同应用——以黑河流域典型区为例[J].应用基础与工程科学学报,2020(6):1361-1368. 被引量:7
  • 2孙凌,张杰,郭茂华.基于神经网络的二类水体大气修正[J].遥感学报,2007,11(3):398-405. 被引量:1
  • 3崔廷伟,张杰,马毅,等.渤海MODIS水色产品评估与修正[C]//第五次全国二类水体水色研讨会[CDROM],大连,2006.
  • 4Kevin R, Wayne D, Bryan A,et al. Suomi NPP VIIRS Ocean Color Data Product Early Mission Assessment, Proc. SPIE 8510, Earth Observing Systems XVII, 85101H (October 15, 2012); doi:10,1117/12.931113; http://dx.doi.org/10,1117/12.931113.
  • 5Eplee R E Jr, K R Turpie, G F Fireman, et al. VIIRS on-orbit calibration for ocean color data processing [R]. Earth Observing Systems XVII, J J Butler, X Xiong, X Gu, eds. Proc. SPIE 8510, 85101H, 2012.
  • 6Turpie K R, Meister G, Eplee G, et al. Ocean Color Data Product Quality Assessment Report for NPP VIIRS [J]. NASA/GSFC NPP VIIRS Ocean Science Team (VOST),2010.
  • 7Menghua Wang, Xiaoming Liu, Liqian Tan, et al. Impacts of VIIRS SDR Performance on Ocean Color Products [J].Journal of Geophysical Research, 2013, 118(18):10347-10360.
  • 8Arnone R, Fargion G, Martinolich P, et al. Validation of the VIIRS ocean color [C]//SHE Defense, Security, and Sensing. International Society for Optics and Photonics, 2012: 83720G-83720G-10.
  • 9Hlaing S, Harmel T, Gilerson A, et al. Evaluation of the VIIRS Ocean Color Monitoring Performance in Coastal Regions [J]. Remote Sensing of Environment, 2013, 139:398-414.
  • 10Barbini R, Colal F, Fantoni R,et al. Comparison of SeaWiFS, MODIS-Terra and MODIS-Aqua in the Southern Ocean [J]. International Journal of Remote Sensing, 2005, 26(11): 2471-2478.

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