A geometric model to simulate thermal anisotropy over a sparse urban surface (GUTA-sparse)
A geometric model to simulate thermal anisotropy over a sparse urban surface (GUTA-sparse)
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模拟稀疏城市表面热各向异性的几何模型（GUTA-稀疏）
DOI：
10.1016/j.rse.2018.02.051
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发表时间：
2018-05
影响因子：
13.5
通讯作者：
Zhan Wenfeng
中科院分区：
文献类型：
--
作者：
Wang D;an;Chen Yunhao;Zhan Wenfeng
地表温度的遥感测量容易出现明显的方向各向异性。由于三维结构和由此产生的非均匀温度分布，这种各向异性在城市表面上很强。然而，发展的模型，纠正城市热各向异性，并考虑这两个因素是罕见的。在这项研究中，与随机的建筑方向的假设，我们开发了一个几何模型来模拟热各向异性在一个稀疏的城市表面（GUTA-sparse），它不考虑相互阴影效应。GUTA-sparse假设各向异性是三个部分的总和：垂直壁背景温度贡献，垂直壁方向效应和阴影贡献。采用三维离散各向异性辐射传输（DART）模型和马赛上空的机载测量数据对模型性能进行了评估。结果表明，在该模型中，太阳天顶角影响拟合系数表征地表特征的能力。GUTA稀疏适用于纵横比小于1.0的城市表面，其中相互阴影效应可以忽略不计。该模型也能很好地模拟机载测量的各向异性，均方根误差（RMSE）分别为0.44，0.44，0.56和0.40 K，且4个飞行时刻的各向异性幅值均超过8 K。该模型不依赖于难以获得的地表参数，这使得它适合于遥感应用。由于该模型是线性的表面参数，它可以应用到异质城市表面。该模型有助于更好地理解城市表面几何形状、组件温度和热各向异性之间的关系，并且该模型可能会将方向温度值校正为常见的观看几何形状。
Remote measurements of land surface temperature are prone to significant directional anisotropy. This anisotropy is strong over urban surfaces because of three-dimensional structures and the resulting heterogeneous temperature distributions. However, the development of models that correct urban thermal anisotropy and consider the two factors is rare. In this study, with the assumption of random building orientations, we developed a Geometric model to simulate Thermal Anisotropy over a sparse Urban surface (GUTA-sparse), which does not consider the mutual shadowing effect. GUTA-sparse assumes that anisotropy is the sum of three parts: the vertical wall background temperature contribution, vertical wall orientation effects and shadow contribution. The simulation data provided by the 3-D Discrete Anisotropic Radiative Transfer (DART) model and airborne measurements over the city of Marseille were employed to evaluate model performance. The results show that in this model, the solar zenith angle influences the ability of the fitted coefficients to characterize surface features. GUTA-sparse is applicable over urban surfaces that have aspect ratios smaller than 1.0, where the mutual shadowing effect is negligible. The proposed model can also well simulate the airborne measured anisotropy with root mean square errors (RMSEs) of 0.44, 0.44, 0.56 and 0.40 K, and the anisotropy amplitudes at the four flight times all exceed 8 K. The model is independent of surface parameters that are difficult to obtain, which makes it suitable for remote sensing applications. Because the model is linear with respect to surface parameters, it can be applied to heterogeneous urban surfaces. This model aids in better understanding the relationships among urban surface geometry, component temperatures and thermal anisotropy, and this model may potentially correct the directional temperature values to a common viewing geometry.
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DOI：
10.1109/jstars.2011.2168195
发表时间：
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影响因子：
5.5
作者：
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通讯作者：
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