AVHRR分裂窗算法反演高山草甸地表温度精度评估

Evaluation of Split-window Algorithms for Land Surface Temperature Retrieval from AVHRR Data over Alpine Meadow

  • 摘要: 利用理塘县高山草甸地表温度实测数据,分析6种常用AVHRR分裂窗算法的精度,为青藏高原地区地表温度的卫星反演提供技术支持。结果表明:6种常用AVHRR分裂窗算法反演地表温度与实测值之间有很好的线性正相关关系,反演温度与实测温度最大偏差3.36K,最大平均绝对误差2.25k,最小平均绝对误差0.77K。给出了反演高山草甸地表温度的AVHRR分裂窗算法建议。

     

    Abstract: Six commonly used split-window algorithms for deriving land surface temperature (LST) from advanced very high resolution radiometer (AVHRR) are validated with in situ measurement (Ts) over Litang alpine meadow.This purpose is to provide some technical supports on the split-window algorithm selection over the Tibetan Plateau.Resultsshow that there are significant linear correlations between the land surface temperatures derived by the six algorithms and the in situ measurements.The maximum deviation of LST and Ts is 2.35K.The maximum mean absolute error is 1.33 K,while the minimum is0.49K.Two split-window algorithms are suggested for deriving alpine meadow surface temperature from AVHRR.

     

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