河北海域海面温度遥感反演业务化算法

An operational SST retrieval algorithm by remote sensing in Hebei Coastal Sea

摘要: 对MODIS数据海面温度反演传统劈窗算法进行修正,建立了适用于河北海域的海面温度反演模型。模型的系数是通过河北近海海域海面温度的实测数据与准同步的MODIS数据回归获得。利用实测数据对模型精度进行验证。结果表明,模型反演值与实测值一元线性回归R2为0.984,平均误差为0.4℃,平均相对误差为2.3%,均方根误差为0.5℃,满足业务化监测要求。最后将该反演模型应用到了2012~2014年河北海域海面温度遥感监测,分析统计年际变化趋势。该模型能够较真实地反映河北海域海面温度的分布变化状况。

Abstract: A remote sensing monitoring model of sea surface temperature(SST) in Hebei coastal sea was build by correcting the Split window algorithm for retrieving SST with MODIS data. The retrieval results and corresponding actual measured results were compared at last. The results showed that the correlation coefficient of this model was 0.984, the total average error was 0.4℃, the average of relative error was 2.3%, the RMS error was 0.5℃.The interannual variability of SST in Hebei coastal sea was analyzed by the model between 2012 and 2014. The result shows that the model is preferably useful in quantitative retrieval SST in Hebei coastal sea.