Landsat 8劈窗算法精度评价及适用性分析  

Accuracy Evaluation and Applicability Analysis for Landsat 8 Split Window Algorithms

作　　者：孙洋 隋淞蔓 SUN Yang;SUI Songman(College of Geomatics,Shandong University of Science and Technology,Qingdao Shandong 266590,China)

机构地区：[1]山东科技大学测绘科学与工程学院,山东青岛266590

出　　处：《北京测绘》2021年第6期746-749,共4页Beijing Surveying and Mapping

摘　　要：针对Landsat 8数据的两种地表温度反演算法:Jiménez-Mu?oz (JM)和Offer Rozenstein(OR)劈窗算法,利用辐射传输模型模拟分析算法的绝对精度以及平均绝对精度随参数的变化关系。基于误差传递理论,分析对比两种算法的总精度在此基础上评价两种算法的适用条件。结果表明:(1) JM算法高估地表温度水汽含量较高时算法总体精度较高;(2) OR算法低估地表温度,水汽含量较低时,算法总体精度高于JM算法。因此建议水汽含量较低时使用OR算法水汽含量较高时使用JM算法。In this paper,for two land surface temperature retrieval algorithms based on Landsat 8 data:Jiménez-Mu oz(JM)and Offer Rozenstein(OR)split-window algorithm,the radiation transmission model MODTRAN was applied to simulate and analyze the absolute accuracy of the algorithm and the relationship between the average absolute accuracy and the parameters.Based on the error transfer theory,the total accuracy of the two algorithms was analyzed and compared.The applicable conditions of the two algorithms were evaluatedbasedon this basis.The results showed that:(1)JM algorithm overestimatedthe surface temperature,the higher water vapor content was,the higher overall accuracy of the algorithm was;(2)OR algorithm underestimated the surface temperature,and when the water vapor content waslow,the overall accuracy of the algorithm washigher than that of the JM algorithm.Therefore,this article suggestedthat OR algorithm should be used when the water vapor content waslow,and JM algorithm should be used when the water vapor content washigh.

关 键 词：Landsat 8 劈窗算法 精度评价 适用性 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置] P237[自动化与计算机技术—控制科学与工程]