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基于Landsat数据的地表温度反演差异及参数分析

Difference and parameter analysis of LST inversion based on Landsat data
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摘要 只有基于准确的地表温度反演算法计算出的产品数据,才能正确推广使用。研究基于Landsat-8、Landsat-9和气象站数据,对比了5种常用地表温度反演算法的结果,并对不同算法的反演结果和参数灵敏度进行了测试。结果表明:基于地表比辐射率参数计算的辐射传输方程和单通道算法反演结果与地面实测数据吻合较好。基于大气水汽参数计算的单窗算法和劈窗算法的反演结果均高于实测温度。基于平均温度参数计算的单窗算法反演精度误差较大。此外,比较了两种遥感数据在不同地物上反演温度的一致性。研究结果可为地表温度反演和产品选择提供参考。 The correct use of the product is possible only when the land surface temperature(LST)data is calcu⁃lated by an accurate and reliable inversion algorithm.In this paper,we compare the inversion results of five com⁃monly used LST inversion algorithms based on Landsat-8,Landsat-9 data,and weather station data.The inver⁃sion results and parameter sensitivity analysis of different algorithms are tested.The results show that the inver⁃sion results of the Radiative Transfer Equation(RTE)and Single Channel(SC)algorithms calculated based on land surface emissivity(LSE)are in good agreement with the ground measured.The inversion results of the SC algorithm based on the atmospheric water vapor inversion and the Split Window(SW)algorithm based on the at⁃mospheric water vapor inversion are higher than the measured temperature.The inversion accuracy of the Mono Window(MW)algorithm based on average temperature parameters is not ideal.In addition,the consistency of the inversion temperature of the two data on different ground objects is compared.Our study can provide a refer⁃ence for land surface temperature inversion based on Landsat-9 data.
作者 万继康 沈哲辉 李珊 WAN Ji-Kang;SHEN Zhe-Hui;LI Shan(School of Computer Science and Communication Engineering,Jiangsu University,Zhenjiang 212013,China;College of Civil Engineering,Nanjing Forestry University,Nanjing 210037,China;School of Economics and Management,Fuzhou University,Fuzhou 350108,China)
出处 《红外与毫米波学报》 SCIE EI CAS CSCD 北大核心 2024年第2期226-234,共9页 Journal of Infrared and Millimeter Waves
基金 the National Natural Science Foundation of China(42301385)。
关键词 Landsat数据 地表温度 反演算法 精度评价 稳定性试验 参数分析 Landsat data LST inversion algorithm accuracy evaluation stability test parameter analysis
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