基于光谱反射率的黄河口海域Ⅱ类水体悬浮泥沙浓度模型研究

摘要

文章利用2013年11月黄河口实测遥感反射率数据、悬浮泥沙浓度数据和Landsat 8影像数据，研究该海域表层水体悬浮泥沙遥感反演模式。研究结果表明：与悬浮泥沙浓度相比，其对数与遥感反射率具有更好的相关性；多波段组合遥感反射率与悬浮泥沙浓度的相关性为85%；单波段（650~680nm）遥感反射率与悬浮泥沙浓度对数相关性高达92%；基于单波段遥感反射率构建悬浮泥沙反演模型，线性模型和对数模型拟合度最高，其中线性反演模型相对误差为7.09%，标准偏差为14.06%，对数反演模型相对误差为4.53%，标准偏差为13.40%。研究结果可以用于黄河口海域悬浮泥沙浓度的遥感监测，也为利用遥感技术构建海洋悬沙含量的定量反演模型提供了可靠依据。%The study uses remote sensing reflectance data of actual measurement in Yellow River estuary, suspended sediment concentration data and image data from Landsat 8 to establish suspended sediment remote sensing inversion model for Yellow River Estuary. The results show that:Compared with the suspended sediment concentration, its logarithm and remote sensing reflectance has a better correlation. The correlation of multiband remote sensing reflectance and suspended sediment concentration was 85%. And The correlation of the single-band (650~680nm) spectral reflectance and suspended sediment concentration is 92%. In suspended sediment inversion model built based on single-band spectral reflectance, linear model and logarithmic model are of highest degree of fitting. And the relative error of linear model is 7.09%, the standard deviation of linear model is 14.06%; while the relative error of logarithm inversion model is 4.53%, the standard deviation of this model is 13.4%.The results can be used in monitoring the suspended sediment concentration for the Yellow River Estuary, and the model also provides a reliable basis for using remote sensing technology to build quantitative inversion model of suspended sediment concentration in ocean.