单窗算法在福建毗邻海域海表温度反演的适用性分析  

Mono-window Algorithm Applicability in Fujian Sea and Its Surrounding Areas Sea Surface Temperature Retrieval

作　　者：陈雪娇[1,2] 陈芸芝[1,2] 

机构地区：[1]福建省空间信息工程研究中心,福建福州350002 [2]海西政务大数据应用协同创新中心,福建福州350002

出　　处：《遥感技术与应用》2017年第4期773-779,共7页Remote Sensing Technology and Application

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)

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。On the basis of four quarters HJ-1b thermal infrared remote sensing images during 2013-2014,each of the spring,summer,autumn and winter,mono-window algorithm was adopted to retrieve Sea Surface Temperature（SST）.To verify the feasibility and accuracy of this algorithm,the derived results were compared with the measured SST data,show that the average absolute error is 0.86 ℃ and the correlation coefficient R-2 is 0.971 5.The different levels influence on derived results caused by the uncertainty of water vapor and atmospheric temperature is analyzed,indicate that if the water vapor error ranges between-2-0g/cm-2 and the temperature variation is between -2 ℃-2 ℃,the sea surface temperature error will be within 5%,the high retrieving accuracy can still be achieved;The sensitivity of the water vapor in winter shows higher than in summer,while the sensitivity of atmospheric temperature demonstrates lower than in summer.Therefore,mono-window algorithm is good applicable in the SST retrieval in Fujian sea and its surrounding areas,which is of great significance to Fujian environmental monitoring.

关 键 词：海表温度 单窗算法 敏感性分析 精度 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]