单窗算法在福建毗邻海域海表温度反演的适用性分析

发布时间：2018-05-20 09:23

本文选题：海表温度 + 单窗算法　；参考：《遥感技术与应用》2017年04期

【摘要】：基于2013~2014年春夏秋冬4个时相的HJ-1B热红外遥感影像,采用覃志豪单窗算法反演海表温度。利用实测海表温度数据作为反演结果的对比验证,结果表明:平均绝对误差为0.86℃,相关系数R~2为0.971 5。并对水汽含量和大气温度的不确定性,对反演结果产生不同程度的影响进行分析,结果表明水汽含量误差范围在-2~0g/cm~2之间,气温变化量在-2℃~2℃之间,所产生的海表温度误差在5%以内,依然可以达到较高的反演精度;冬季水汽含量的敏感性比夏季高,而大气温度在夏季的敏感性却比冬季高。因此,单窗算法在福建毗邻海域海表温度反演具有较好的适用性,对福建毗邻海域的海洋环境监测具有重要意义。
[Abstract]:Based on the HJ-1B thermal infrared remote sensing images of 4 phases in the spring, summer, autumn and winter in 2013~2014, the sea surface temperature is retrieved by the single window algorithm of Qin Zhihao. The results are compared with the measured sea surface temperature data. The results show that the mean absolute error is 0.86, the correlation coefficient R~2 is 0.971 5. and the water vapor content and the atmospheric temperature are uncertain. The results show that the water vapor content error range is in the range of -2~0g/cm~2 and the temperature variation is between -2 and ~2, and the sea surface temperature error is less than 5%, which can still reach a higher inversion accuracy. The sensitivity of water vapor content in winter is higher than that in summer, and the atmospheric temperature is in summer. The sensitivity is higher than that in winter. Therefore, the single window algorithm has a good applicability in the inversion of sea surface temperature in the adjacent sea area of Fujian, which is of great significance to the monitoring of the marine environment in the adjacent sea area of Fujian.
【作者单位】：福建省空间信息工程研究中心;海西政务大数据应用协同创新中心;
【基金】：国家自然科学基金青年科学基金项目(41401488) 数字福建建设项目(闽发改网高技函[2013]84号)
【分类号】：P715.7

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