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AVHRR分裂窗算法反演高山草甸地表温度精度评估
引用本文:闵文彬,李跃清.AVHRR分裂窗算法反演高山草甸地表温度精度评估[J].四川气象,2014(2):44-47.
作者姓名:闵文彬  李跃清
作者单位:中国气象局成都高原气象研究所,成都610072
基金项目:公益性行业(气象)科研专项经费项目GYHY201406001和GYHY201206041;川气课题2011-开发-09
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.

关 键 词:分裂窗算法  地表温度  AVHRR  高山草甸

Evaluation of Split-window Algorithms for Land Surface Temperature Retrieval from AVHRR Data over Alpine Meadow
MIN Wenbin,LI Yueqing.Evaluation of Split-window Algorithms for Land Surface Temperature Retrieval from AVHRR Data over Alpine Meadow[J].Journal of Sichuan Meteorology,2014(2):44-47.
Authors:MIN Wenbin  LI Yueqing
Institution:(Institute of Plateau Meteorology, CMA, Chengdu 610072, China)
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 ( T, ) over Litang alpine meadow. This purpose is to provide some technical supports on the split- window algorithm selection over the Tibetan Plateau. Results show that there are significant linear correlations between the land surface temperatures derived by the six algorithms and the in situ measure- ments. The maximum deviation of LST and T is 2. 35K. The maximum mean absolute error is 1.33 K ,while the minimum is 0. 49K . Two split - window algorithms are suggested for deriving alpine meadow surface temperature from AVHRR.
Keywords:split - window algorithm  land surface temperature  AVHRR  alpine meadow
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