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Effect of spatial resolution on thermal IR sensing of plant canopies

机译:空间分辨率对植物檐篷热红外传感的影响

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Satellite observations of agricultural and other plant canopies in the thermal IR regime have generally been at spatial scales of tens to hundreds of meters. Use of the thermal IR at higher resolutions is confounded by the mixture problem and otherassociated scaling issues. Advances in sensor technology will extend our capabilities for IR measurements to shorter wavelengths and yield improved spatial resolutions. However, experience with aircraft remote sensing observations has indicated that caremust be exercised in understanding the interaction effects of viewing geometry at these higher resolutions. The utilization and scaling of observables with multi-resolution remote sensing data sets remain a difficult problem. At high spatial resolutionthe three-dimensional character of scene components contained within a pixel must be considered. In this paper, we explore the variability in brightness temperature and the co-variation of NDVI with brightness temperature as a function of viewing geometry and changing spatial resolution. Using three-dimensional models for both canopy reflectance and thermal IR exitance, we employ a theoretical analysis for an agricultural scene where previous comparisons and measurements were available.
机译:在热红外政权中的农业和其他植物檐篷的卫星观察一般都处于几十米的空间尺度。在更高的分辨率下使用热量IR被混合问题和其他缩放问题混淆。传感器技术的进步将使IR测量的功能扩展到更短的波长,并产生改善的空间分辨率。然而,飞机遥感观测的经验表明,在理解这些更高分辨率下观察几何的相互作用效应来锻炼。具有多分辨率遥感数据集的可观察到的利用和缩放仍然是一个难题。在高空间分辨率下,必须考虑像素内包含在像素内的场景组件的三维特征。在本文中,我们探讨了亮度温度的可变性和NDVI的亮度温度作为观察几何形状和变化空间分辨率的函数。使用三维模型对于冠层反射率和热IR出版物,我们采用了对农业场景的理论分析,其中可获得先前的比较和测量。

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