中文摘要：

利用2003年春、秋季南黄海辐射沙洲邻近海域水体表观光谱测量与同步水体取样数据,分析该海域不同季节表层水体遥感反射率光谱响应特性。结合常用水色传感器波段光谱响应模拟,建立春、秋季表层水体总悬浮颗粒物浓度（TSM）与悬浮泥沙浓度（SSC）的最适单波段、双波段（波段比值）和3波段统计反演模式。结果表明,不同季节水体上述3类算法的最优波段均不相同,欲寻求适合所有季节水体的统一反演算法,仅能选择次优波段。通过比较,3种不同反演模式中三波段模式更适于反演近岸水体悬浮颗粒物浓度。

英文摘要：

Two experimental above-water radiance measurement campaigns were conducted during spring and autumn of 2003 in the coastal waters near radial sand ridges area in the South Yellow Sea,with a co-incident water sampling for each measurement.In this paper,response patterns of spectral signature to concentrations of total suspended particulate matter（TSM） and suspended sediment（SSC） in the surface waters were investigated based upon in situ remote sensing reflectance and water sample.The best statistical algorithms,including one-band,two-band or band ratio and three-band algorithms,for TSM and SSC were presented based upon the simulated spectral signature at the wavebands of the major satellite ocean color sensors.The results show that the best performance wavebands of these algorithms in spring were entirely different from those in autumn.This shows that defining TSM and SSC empirical retrieval algorithms suitable for all seasons is to only select the second best performance wavebands.