Dynamic aspects study of surface temperature firom remotely-sensed data using advanced thermal inertia model
Dynamic aspects study of surface temperature firom remotely-sensed data using advanced thermal inertia model
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DOI：
10.1080/01431169608949090
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发表时间：
1996-09
影响因子：
3.4
通讯作者：
A. Cracknell;Yong Xue
中科院分区：
文献类型：
--
作者：
A. Cracknell;Yong Xue
利用分裂窗方法可以确定卫星飞越时间的地面温度。日地面温度是从先进的热惯性模型作为一个解决方案的热扩散方程与恒定的扩散率下，在地面上的温度周期性强迫。通过将该模型应用于法国NOAA AVHRR数据，对该模型进行了测试。结果表明，先进的热惯性模型可以利用任意两组立交桥卫星数据准业务化地预测周日地表温度，并且使用任意两组日间立交桥卫星数据比使用一组夜间立交桥卫星数据和一组白天立交桥卫星数据更好，尤其是在植被覆盖地区。该模型可以用来插值的表面温度值之间的两个飞越时间的卫星测量。
The satellite over-pass time ground surface temperature can be determined using split-window methods. The diurnal ground temperature is derived from the advanced thermal inertia model as a solution of the heat diffusion equation with a constant diffusivity under periodic forcing on the ground surface in terms of temperature. The model was tested by applying it to NOAA AVHRR data for France. The results indicate that the advanced thermal inertia model can be used to predict the diurnal ground surface temperature quasi-operationally with any two sets of over-pass satellite data and it is better to use any two daytime sets of over-pass satellite data than one night-time set and one day time set of over-pass satellite data, especially in vegetated areas. The model can be used to interpolate the surface temperature values between two over-pass time satellite measurements.