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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >A new thermal infrared channel configuration for accurate land surface temperature retrieval from satellite data
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A new thermal infrared channel configuration for accurate land surface temperature retrieval from satellite data

机译:一种新的热红外通道配置,可用于卫星数据的精确陆地温度检索

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摘要

Land surface temperature (LST) is an important parameter in many research fields. Many algorithms have been developed to retrieve LST from satellite thermal infrared (TIR) measurements; of these, the most widely used are the split window (SW) and temperature emissivity separation (TES) methods. However, the performance of the SW and TES methods can be limited by the difficulty in obtaining sufficiently accurate prior knowledge-specifically, input land surface emissivity (LSE) for the SW method and atmospheric parameters for the TES method. In this study, a procedure was proposed for selecting specific channel pairs in the TIR spectral region to accurately retrieve ground brightness temperatures without prior atmospheric knowledge, using a method similar to the SW method. Subsequently, the TES method is applied to the retrieved ground brightness temperatures to separate the LST and LSE. In numerical simulations, the three ground brightness temperatures corresponding to 8.6 mu m, 9.0 mu m, and 10.4 mu m are acquired with an accuracy of about 0.65 K by using five channels centered at 8.6 mu m, 9.0 mu m, 10.4 mu m, 11.3 mu m, and 12.5 mu m, each with a width of 0.1 mu m. When inputting the three retrieved ground brightness temperatures into TES method, LST could be recovered with an accuracy of 0.87 K. Sensitivity analysis shows that LST retrieval accuracy is less affected by channel width and atmospheric downwelling radiance than by the channel center locations and channel noise. Finally, the proposed method is preliminarily applied to actual satellite data from the Atmospheric InfraRed Sounder (AIRS) and the retrieved results are compared with the pixel-aggregated Moderate Resolution Imaging Spectroradiometer (MODIS) LST product. For the study area of Australia, discrepancies between our result and the MODIS LST product appear to be about 1.6 K during the day and 1.0 K at night, indicating that the new channel configuration can be used to retrieve accurate LST from sa
机译:陆地温度(LST)是许多研究领域的重要参数。已经开发出许多算法以从卫星热红外(TIR)测量中检索LST;其中,最广泛使用的是分裂窗口(SW)和温度发射率分离(TES)方法。然而,SW和TES方法的性能可以受到难以获得足够准确的先验知识的难以用于SW方法的输入陆地表面发射率(LSE)和TES方法的大气参数。在该研究中,提出了一种用于选择TIR光谱区域中的特定通道对的过程,以准确地检索没有现有大气知识的地面亮度温度,使用类似于SW方法的方法。随后,将TES方法应用于检索的地面亮度温度以分离LST和LSE。在数值模拟中,通过使用以8.6μm,9.0 mu m,10.4 mu m为中心的五个通道获得约0.65k的精度约为8.6μm,9.0μm和10.4μm的三个接地亮度温度。 11.3μm和12.5μm,每个宽度为0.1μm。当将三个检索到的接地亮度温度进入TES方法时,可以通过0.87k的精度恢复LST。灵敏度分析表明,LST检索精度受到信道宽度和大气沉船光线的影响小于信道中心位置和信道噪声。最后,将所提出的方法预先应用于来自大气红外发声器(空气)的实际卫星数据,并将检索结果与像素聚集的适度分辨率成像光谱仪(MODIS)LST产品进行比较。对于澳大利亚的研究领域,我们的结果与MODIS LST产品之间的差异似乎是当天的约1.6 k,晚上1.0 k,表明新的频道配置可用于从SA检索精确的LST

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