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- 2017
利用单窗算法反演Landsat 8 TIRS数据地表温度
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Abstract:
以Landsat 8为数据源，并结合地表发射率、大气透过率等参数遥感估算方法，提出了针对TIRS 10数据的单窗算法TIRS10_SC，并开展了研究区的地表温度反演3种单窗算法的对比研究。结果表明，TIRS10_SC算法紧密结合Landsat8 TIRS传感器的特性，通过遥感估算城区下垫面的地表发射率、大气透过率等特征，可以较为准确地估算出地表不同覆被类型的温度；裸土与水泥下垫面等相对均质的下垫面的温度反演效果稍好，TIRS10_SC算法和Q_SC算法其平均误差为0.60℃，JM_SC算法其平均误差为1.01℃；对于植被下垫面，TIRS10_SC算法和Q_SC算法其平均误差为1.48℃，JM_SC算法其平均误差为1.26℃，为了提升城区植被下垫面温度反演精度，应该进一步准确地量化其发射率特性
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