基于多源卫星融合资料的中国近海海洋锋检测研究

Research on ocean front detection in China coastal waters based on multi-source merging data

海洋锋是海洋动力学中重要的研究对象。目前主要利用卫星遥感海面温度数据分析海洋锋。由于夏季中国近海海域海面温度趋同特性,无法利用海面温度数据分析海洋锋,而卫星遥感海色数据可以有效弥补海面温度检测海洋锋的不足,提高海洋锋检测的准确性。基于多源卫星融合数据,利用梯度检测算法对中国近海海域进行海洋锋研究,结合海面温度和蓝绿波段遥感反射率比值的季节变换规律,利用不同季节适用的不同梯度检测阈值,获取中国近海的海温锋和海色锋分布规律。通过海温锋和海色锋互补,可以实现对中国近海锋面更全面的检测。

Ocean front is a very important research object in ocean dynamics.At present,satellite remote sensing mainly uses sea surface temperature data to analyze the ocean front.However,due to the convergence of sea surface temperature in summer in China's offshore waters,the existence of the front is covered up,and the biooptical characteristics of different water masses are often different,and there is no significant seasonal variation cycle caused by the influence of solar radiation.Therefore,satellite sea color data can effectively make up for the deficiency of ocean front detection and improve the accuracy of ocean front detection.Based on Multi-source Satellite merging data,this paper uses gradient detection algorithm to study the ocean front in China's offshore waters.Combined with the seasonal transformation law of SST and blue-green band remote sensing reflectance ratio,this paper uses different gradient detection thresholds applicable in different seasons to obtain the distribution law of SST front and sea color front in China's offshore waters.A more comprehensive detection of China's offshore front can be realized through the complementarity of sea temperature front and sea color front.