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秋季太湖悬浮物高光谱估算模型

Models of estimated total suspend matter concentration base on hyper-spectrum in Lake Taihu,in autumn

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【作者】 宋庆君马荣华唐军武王晓梅

【Author】 SONG Qingjun~1,MA Ronghua~2,TANG Junwu~1 & WANG Xiaomei~1 (1:National Satellite Ocean Application Service,Beijing 100081,P.R.China) (2:Nanjing Institute of Geography and Limnologyo CAS,Nanjing 210008,PR.China)

【机构】 国家卫星海洋应用中心中国科学院南京地理与湖泊研究所国家卫星海洋应用中心 北京 100081南京 210008北京 100081

【摘要】 2004年10月,在太湖设置67个采样点,现场测量了水体遥感反射比、后向散射系数和辅助参数,实验室分析了水体的悬浮物浓度和水色要素吸收系数.本文在对遥感反射比光谱分析的基础上,比较了几种水体遥感反射比光谱估算悬浮物浓度的方法,结果发现广泛应用的带比值项的算法,虽然可以应用于太湖总悬浮物浓度估算,但是普遍存在相对误差较高的弱点.通过对光谱的分析,确定了750nm单波段算法的参数,并提出了利用近红外812nm波峰高度来估算水体悬浮物的方法.文中还详细阐述了为什么比值算法等在太湖水体悬浮物浓度估算中相对误差比较高,并解释了利用近红外估算精度高的原因,并指明以上算法在遥感应用中的优点和不足,以及现实水体(水质)遥感对现有遥感器配置和遥感算法的需求.

【Abstract】 In situ measurements of remote sensing reflectances(Rrs),backscattering coefficients(bb)as well as other related parameters had been acquired in 67 stations in Lake Taihu,in October,2004.The total suspended matter(TSM)concentrations and absorption coefficients(a)by ocean color elements had been derived from Laboratory analysis.Based on the analysis of in situ Rrs spectrum,several methods have been compared for TSM concentrations retrieval from RrsThe results show that the methods by means of spectral ratios applied widely in ocean color remote sensing were basically applicable in TSM retrieval in Lake Taihu, whereas which all give a little high relative errors.Furthermore,the empirical coefficients for the algorithm only by use of 750nm band is also determined.The method by use of 812nm spectrum peak line height is provided in this article.The possible reasons that the methods by use of spectral ratios have higher relative errors in Lake Taihu have been explained in detail,as well as the reasons that the method using near infrared band information would be more accurate.At the same time,the advantages and disadvantages of above methods in the applications of ocean color remote sensing have been pointed out,as well as the requirements in terms of sensors and retrieval methods in current applications.

【基金】 国家自然科学基金(40671138)资助
  • 【文献出处】 湖泊科学 ,Journal of Lake Sciences , 编辑部邮箱 ,2008年02期
  • 【分类号】P332;P343.3
  • 【被引频次】35
  • 【下载频次】566
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