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基于黄河口海域实测数据,建立了利用745nm(模型1)和680nm(模型2)波段遥感反射率的颗粒有机碳(POC)浓度反演模型,得到的平均相对误差(APD)均低于26%,其中模型1表现更优。结合海洋水色成像仪(GOCI)影像和实测数据对两个模型进行了精度评估,平均相对误差均在30%以内。基于所建立的模型和卫星遥感影像,分析了逐时、大风过程(几日之间)、季节变化三种情况下黄河口海域POC浓度的时空变化特征。结果表明,冬季POC浓度整体较高,夏季POC浓度整体较低;渤海湾附近出现POC浓度最高值。三种情况下,POC浓度的变化范围在同一尺度上,表明短时间间隔并不意味着POC浓度变化范围也小,其季节平均效应是显著的。
Based on the measured data from the Yellow River estuary, the POC concentration inversion models based on the remote sensing reflectance at 745nm (Model 1) and 680nm (Model 2) were established. The average relative errors (APDs) were all lower than 26% , Of which Model 1 performed better. The accuracy of the two models was evaluated with the imaging data and measured data of the marine color imager (GOCI). The average relative errors were within 30%. Based on the model and the satellite remote sensing image, the spatio-temporal variations of POC concentrations in the Yellow River Estuary were analyzed under three scenarios: hourly, gale (several days) and seasonal variations. The results showed that the overall POC concentration in winter was high, and the overall POC concentration in summer was lower. The highest POC concentration appeared around Bohai Bay. In all three cases, the range of POC concentration is on the same scale, indicating that the short time interval does not mean that the POC concentration range is also small, and the seasonal average effect is significant.