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地表热辐射场景动态变化模拟分析是热红外遥感领域研究热点之一.首先基于地表能量平衡方程和一维导热方程,建立地表温度二次谐波模型,模拟裸露地表温度日变化规律,并利用CUPID模型模拟植被冠层温度;其次利用高空间分辨率多光谱遥感影像的可见光-近红外光谱特征,提取植被、裸土、水体、不透水面等地物端元的覆盖比例及分布;最后结合地表温度模拟结果和典型发射率波谱,基于端元能量线性混合的假设,模拟地表热红外辐射动态场景.结果表明,地表温度日变化模拟值与实测值吻合较好,标准偏差在2.7℃以内;模拟场景可展现出清晰的纹理细节和较强的遥感成像真实感,场景热辐射特征与地物类型及其空间分布、成像时刻、观测角度均有关联.
The simulation analysis of the dynamic change of the surface thermal radiation scene is one of hot topics in the field of thermal infrared remote sensing.Firstly, based on the surface energy balance equation and the one-dimensional heat conduction equation, the second harmonic model of the surface temperature is established to simulate the diurnal variation of the bare surface temperature, Model to simulate the vegetation canopy temperature. Secondly, using the visible-near-infrared spectroscopy features of high spatial resolution multispectral remote sensing images, the coverage ratio and distribution of end elements such as vegetation, bare soil, water bodies and impervious surfaces were extracted. Finally, Temperature simulation results and typical emissivity spectra were used to simulate the dynamic infrared thermal radiation scenarios based on the assumption of linear mixing of endmember energy.The results showed that the simulated daily diurnal variation of surface temperature was in good agreement with the measured values and the standard deviation was within 2.7 ℃. The scene can show clear texture details and strong sense of reality of remote sensing imaging. The characteristics of the scene thermal radiation are related to the types of objects and their spatial distribution, imaging moment and observation angle.