An Algorithm for Separating Soil and Vegetation Temperatures With Sensors Featuring a Single Thermal Channel
An Algorithm for Separating Soil and Vegetation Temperatures With Sensors Featuring a Single Thermal Channel
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DOI：
10.1109/tgrs.2010.2082555
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发表时间：
2011-05
影响因子：
8.2
通讯作者：
W. Zhan;Yunhao Chen;Ji Zhou;Jing Li
中科院分区：
文献类型：
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作者：
W. Zhan;Yunhao Chen;Ji Zhou;Jing Li
土壤和植被温度分离(SVTS)是蒸散量研究等各个领域中的一个重要过程。为了分析高度异质的农田，开发了一种可操作的、新颖的算法，从具有单一热通道的传感器中分离土壤和植被温度。将相邻像素之间相互关系的先验知识与辐射传输方程和概念热各向异性模型相耦合，通过贝叶斯定理增加了正向各向异性模型的可解性。模型敏感性分析表明，组分分数和参考温度是控制反演结果精度的两个主要因素。选择了一些验证方法，包括当地气象站的气温数据、计算机模拟、放大技术和不同方法之间的相互比较，作为验证反演结果的间接技术。这些结果表明，所提出的反演技术达到了可以接受的精度和稳定性水平，这突显了单视窗温度传感器在SVTS中的实用性。
Soil and vegetation temperature separation (SVTS) is a crucial process in various fields, such as the study of evapotranspiration. An operational and novel algorithm for separating soil and vegetation temperatures from sensors that feature a single thermal channel was developed to analyze high-heterogeneity croplands. The a priori knowledge on interrelationships among neighboring pixels was coupled to both the radiation transfer equation and the conceptual thermal anisotropic model to increase the solvability of forward anisotropic models through the Bayesian theorem. Model sensitivity analysis suggests that component fractions and reference temperatures are the two main factors that control the accuracies of the inversion results. Some validation options, which include the air temperature data from local weather stations, computer simulations, up-scaling techniques, and intercomparisons among different approaches, were selected as indirect techniques in verifying the inverted results. These results demonstrated that the proposed inversion technique reached an acceptable level of accuracy and stability, which highlights the practicalities of monowindow thermal sensors in the SVTS.