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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。
The spectral response of surface water body reflectance in different seasons of this seashore was analyzed by using the data of apparent and spectral measurements of synchronized and synchronized water bodies in the waters near the sand bank of the southern Yellow Sea in spring and autumn of 2003. Combined with the spectral response simulation of commonly used water color sensors, the optimal single-band, dual-band (band-ratio) and 3-band statistical inversion models of total suspended particle concentration (TSM) and suspended sediment concentration (SSC) The results show that the optimal bands of the above three types of water bodies in different seasons are all different. To seek a uniform inversion algorithm suitable for all seasonal water bodies, only the sub-optimal bands can be selected. By comparison, the three-band model of the three different inversion models is more suitable for inverting the concentration of suspended particulate matter in coastal waters.