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Emissitivity spectra obtained from field and laboratory measurements using the temperature and emissivity separation algorithm

机译:使用温度和发射率分离算法从现场和实验室测量获得的发射率光谱

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Surface emissivities play an important role in thermal remote sensing, since knowledge of them is required to estimate land surface temperature with enough accuracy. They are also important in other environmental or geological studies. We show the results obtained for the emissivity spectra of different natural surfaces (water, green, and senescent vegetation) by applying the temperature and emissivity separation (TES) algorithm to ground-based measurements collected at the field with a multiband thermal radiometer. The results have been tested with data included in spectral libraries, and rms errors lower than 0.01 have been found, except for senescent vegetation. Two methods are also proposed to apply the TES algorithm to measurements achieved in the laboratory: (i) by heating the sample and (ii) using a box with reflective walls.
机译:地表发射率在热遥感中起着重要作用,因为需要它们的知识才能以足够的精度估算地面温度。它们在其他环境或地质研究中也很重要。通过将温度和发射率分离(TES)算法应用于在现场使用多波段热辐射计收集的地面测量结果,我们显示了不同自然表面(水,绿色和衰老植被)的发射率谱获得的结果。已使用光谱库中包含的数据对结果进行了测试,除衰老植物外,均方根误差均低于0.01。还提出了两种方法将TES算法应用于实验室中实现的测量:(i)通过加热样品和(ii)使用带有反射壁的盒子进行测量。

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