毛克彪, 唐华俊, 周清波, 马柱国. 实用劈窗算法的改进及大气水汽含量对精度影响评价[J]. 武汉大学学报 ( 信息科学版), 2008, 33(2): 116-119.
引用本文: 毛克彪, 唐华俊, 周清波, 马柱国. 实用劈窗算法的改进及大气水汽含量对精度影响评价[J]. 武汉大学学报 ( 信息科学版), 2008, 33(2): 116-119.
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MAO Kebiao, TANG Huajun, ZHOU Qingbo, MA Zhuguo. Improvement for Split-Window Algorithm and Influence Analysis of Water Vapor Content for Retrieval Accuracy[J]. Geomatics and Information Science of Wuhan University, 2008, 33(2): 116-119.
Citation: MAO Kebiao, TANG Huajun, ZHOU Qingbo, MA Zhuguo. Improvement for Split-Window Algorithm and Influence Analysis of Water Vapor Content for Retrieval Accuracy[J]. Geomatics and Information Science of Wuhan University, 2008, 33(2): 116-119.
shu

实用劈窗算法的改进及大气水汽含量对精度影响评价

Improvement for Split-Window Algorithm and Influence Analysis of Water Vapor Content for Retrieval Accuracy

    摘要
  • 摘要: 对劈窗算法进行了改进,提高了算法的精度和实用性。对影响大气透过率的大气水汽含量进行了敏感性分析。模拟数据结果表明,劈窗算法对大气水汽含量不敏感,当大气水汽含量误差在-80%~80%变化时,反演的平均精度仍能在1℃以下。对实际MODIS影像进行反演的结果与大气模拟数据分析的结论基本一致,这说明适当地利用大气水汽含量的先验知识可以提高劈窗算法反演地表温度的精度。

     

    Abstract: The split-window algorithm proposed by the authors is improved.In order to evaluate the practical effect of the algorithm,the analysis of influence of water content on the transmittance is made and the results indicate that the algorithm is not sensitivity to water content.In order to confirm the conclusion,the authors retrieve the land surface temperature through change the water content retrieved from MODIS data and get similar conclusion.All the results show that the algorithm is practical and not sensitive to water content.

     

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