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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。
The traditional splitting window algorithm was retrieved for MODIS data sea surface temperature inversion, and a sea surface temperature inversion model suitable for Hebei sea area was established. The coefficient of the model is obtained from the measured data of sea surface temperature in Hebei offshore waters and quasi-synchronous MODIS data. Use the measured data to verify the accuracy of the model. The results show that the linear regression of the model inversion value and the measured value is 0.984, the average error is 0.4 ℃, the average relative error is 2.3% and the root mean square error is 0.5 ℃, which meets the requirements of operational monitoring. Finally, the inversion model is applied to the remote sensing monitoring of sea surface temperature in Hebei waters from 2012 to 2014, and the statistical interannual variation trend is analyzed. The model can more accurately reflect the distribution of sea surface temperature in Hebei Province.