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基于LandsatTM的地表温度分解算法对比

DOI: 10.6046/gtzyyg.2015.01.27, PP. 172-177

Keywords: Landsat,TM,SUTM,E-DisTrad,地表温度分解,北京

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Abstract:

如何综合可见光波段信息提高地表温度的空间分辨率一直是热红外遥感应用研究的重要方向。以北京市LandsatTM图像为数据源,对比分析了SUTM和E-DisTrad模型地表温度分解的空间特征差异性和适用范围。结果表明:在植被覆盖较低、地表温度较高的中心城区,SUTM模型的地表温度分解效果更佳,最小均方根误差和平均绝对误差分别为1.522K和1.191K;在植被覆盖较高、地表温度较低的郊区,E-DisTrad模型的地表温度分解效果更好,最小均方根误差和平均绝对误差分别为1.768K和1.173K。2种模型都能有效地提高地表温度的空间分辨率,但是在植被覆盖不同的地区分解结果呈现一定的差异性。

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