首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Retrieval of Leaf, Sunlit Soil, and Shaded Soil Component Temperatures Using Airborne Thermal Infrared Multiangle Observations
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Retrieval of Leaf, Sunlit Soil, and Shaded Soil Component Temperatures Using Airborne Thermal Infrared Multiangle Observations

机译:利用机载热红外多角度观测反演叶片,阳光照射的土壤和遮荫的土壤成分温度

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摘要

Land surface component temperatures are important inputs in longwave radiation and evapotranspiration estimation models. Most component temperature inversion approaches focus only on two components, namely, soil and leaves, because space-based multiangle observations are lacking. This approach is inconsistent with ground-based measurements, which suggest that the temperatures of sunlit and shaded soil may significantly differ. This paper explores a three-component temperature inversion scheme that uses airborne multiangle thermal infrared observations to decrease the difference between the retrieved data and the actual subpixel temperature distribution. The FR97 model, which is an analytical directional brightness temperature model that was modified by dividing the soil component into sunlit and shaded portions, is adopted to calculate the matrix of component effective emissivity, which links multiangular observations and component temperatures. The new forward model and the inversion scheme are assessed using simulated data sets from the Scattering by Arbitrarily Inclined Leaves (4SAIL) model. The results indicate that the modified FR97 model provides good precision and that the inversion scheme based on the modified FR97 model is appropriate because of the model's simplicity and accuracy and the inversion's low sensitivity to noise. The inversion scheme is validated using airborne data collected by the wide-angle infrared dual-mode line/area array scanner over an area planted with maize and ground measurements collected during the Heihe Watershed Allied Telemetry Experimental Research campaign. The results indicate that the root mean square errors of the component temperatures of the leaves, sunlit soil, and shaded soil were 0.72 °C, 1.55 °C, and 2.73 °C, respectively. Because of the modified FR97's straightforward form and acceptable precision, we recommend this new retrieval scheme as an option for retrieving the compon- nt temperatures of leaves, sunlit soil, and shaded soil.
机译:地表成分温度是长波辐射和蒸散估算模型中的重要输入。由于缺乏基于空间的多角度观测,大多数组件温度反演方法仅关注土壤和树叶两个组件。这种方法与地面测量不一致,这表明阳光照射和阴暗土壤的温度可能存在显着差异。本文探索了一种三分量温度反演方案,该方案使用机载多角度热红外观测来减小检索到的数据与实际子像素温度分布之间的差异。 FR97模型是一种分析性的定向亮度温度模型,通过将土壤成分分为阳光照射部分和阴影部分进行了修改,用于计算成分有效发射率矩阵,该矩阵将多角度观测值和成分温度联系起来。使用来自“任意倾斜叶片的散射”(4SAIL)模型的模拟数据集评估了新的正向模型和反演方案。结果表明,改进的FR97模型具有良好的精度,并且基于该模型的简单性和准确性以及该模型对噪声的敏感性较低,因此基于该模型的反演方法是合适的。使用广角红外双模线/面阵列扫描仪在黑河流域联合遥测实验研究活动中收集的玉米和地面测量面积上收集的机载数据,验证了该反演方案。结果表明,叶片,阳光土壤和遮荫土壤的成分温度的均方根误差分别为0.72°C,1.55°C和2.73°C。由于修改后的FR97格式简单明了且可接受的精度,我们建议使用这种新的检索方案作为检索树叶,阳光照射的土壤和阴影土壤的组分温度的选项。

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