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首页> 外文期刊>Geoscience and Remote Sensing, IEEE Transactions on >Evaluation of Different Methods to Retrieve the Hemispherical Downwelling Irradiance in the Thermal Infrared Region for Field Measurements
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Evaluation of Different Methods to Retrieve the Hemispherical Downwelling Irradiance in the Thermal Infrared Region for Field Measurements

机译:评估用于现场测量的热红外区域中检索半球形下流辐照度的不同方法的评估

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摘要

The thermal infrared hemispherical downwelling irradiance (HDI) emitted by the atmosphere and surrounding elements contributes through reflection to the signal measured over an observed surface by remote sensing. This irradiance must be estimated in order to obtain accurate values of land-surface temperature (LST). There are some fast methods to measure the HDI with a single measurement pointing to the sky at a specified viewing direction, but these methods require completely cloud-free or cloudy skies, and they do not account for the radiative contribution of surrounding elements. Another method is the use of a diffuse reflectance panel (usually, a rough gold-coated surface) with near-Lambertian behavior. This method considers the radiative contribution of surrounding elements and can be used under any sky condition. A third possibility is the use of atmospheric profiles and a radiative transfer code (RTC) in order to simulate the atmospheric signal and to calculate the HDI by integration. This study compares the HDI estimations with these approaches, using measurements made on four different days with a completely clear sky and two days with a partially cloudy sky. The measurements were made with a four-channel CIMEL Electronique radiometer working in the 8–14-$muhbox{m}$ spectral range. The HDI was also estimated by means of National Centers for Environmental Prediction atmospheric profiles introduced in the MODTRAN RTC. Additionally, the measurements were made at two different places with very different environments to quantify the effect of the contributing surroundings. Results showed that, for a clear-sky day with a minimal contribution of the surroundings, all methods differed from each other between 5% and 11%, depending on the spectral range, and any of them could be used to estimate HDI in these conditions. However, in the case of making surface measurements in an area with signi- icant surrounding elements (buildings, trees, etc.), HDI values retrieved from the panel present an increase of $+3 hbox{W}cdothbox{m}^{-2}cdotmuhbox{m}^{-1}$ compared with the other methods; this increase, if ignored, implies to make an error in LST ranging from $+0.5 ^{circ}hbox{C}$ to $+1.5 ^{circ}hbox{C}$, depending on the spectral range and on surface emissivity and temperature. Comparison under heterogeneous skies with changing cloud coverage showed also large differences between the use of panel and the other methods, reaching a maximum difference of $+4.6 hbox{W}cdothbox{m}^{-2}cdotmuhbox{m}^{-1}$, which implies to make an error on LST of $+2.2 ^{circ}hbox{C}$. In these cases, the use of the diffuse reflectance panel is proposed, since it is the unique way to capture the contribution of the surroundings and also to adequately measure HDI for sky changing conditions.
机译:大气和周围元素发出的热红外半球形下辐射辐照度(HDI)通过反射对通过遥感在观察到的表面上测得的信号做出贡献。必须估算辐照度以获得准确的地表温度(LST)值。有几种快速测量HDI的方法,其中一次测量指向指定观察方向的天空,但是这些方法需要完全无云或多云的天空,并且它们不能解决周围元素的辐射影响。另一种方法是使用具有接近朗伯行为的漫反射面板(通常是粗糙的镀金表面)。该方法考虑了周围元素的辐射影响,可以在任何天空条件下使用。第三种可能性是使用大气廓线和辐射转移码(RTC),以便模拟大气信号并通过积分计算HDI。这项研究将HDI估算与这些方法进行了比较,使用了在完全晴朗的天空下四天和部分多云的天空下两天进行的测量。使用工作在8–14-muhbox {m} $光谱范围内的四通道CIMEL Electronique辐射计进行测量。还通过MODTRAN RTC中引入的国家环境预测中心大气廓线估算了HDI。另外,在两个非常不同的环境的不同地方进行了测量,以量化周围环境的影响。结果表明,在晴朗的天空中,对环境的影响最小,根据光谱范围的不同,所有方法的差异在5%和11%之间,并且在这些条件下,它们中的任何一种都可以用来估算HDI 。但是,在有大量周围元素(建筑物,树木等)的区域进行表面测量时,从面板中检索到的HDI值会增加$ + 3 hbox {W} cdothbox {m} ^ { -2} cdotmuhbox {m} ^ {-1} $与其他方法相比;如果忽略这一增加,则意味着在LST中产生误差,范围从$ + 0.5 ^ {circ} hbox {C} $到$ + 1.5 ^ {circ} hbox {C} $,具体取决于光谱范围和表面发射率和温度。在具有变化的云覆盖的异构天空下进行的比较显示,使用面板和其他方法之间也存在很大差异,最大差异为$ + 4.6 hbox {W} cdothbox {m} ^ {-2} cdotmuhbox {m} ^ {- 1} $,表示LST错误为$ + 2.2 ^ {circ} hbox {C} $。在这些情况下,建议使用漫反射面板,因为它是捕获周围环境影响并针对天空变化条件充分测量HDI的独特方法。

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