A Geometric Model to Simulate Urban Thermal Anisotropy for Simplified Neighborhoods
A Geometric Model to Simulate Urban Thermal Anisotropy for Simplified Neighborhoods
复制标题
模拟简化社区的城市热各向异性的几何模型
DOI：
10.1109/tgrs.2018.2842794
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发表时间：
2018-08
影响因子：
8.2
通讯作者：
Sun Hao
中科院分区：
文献类型：
--
作者：
Wang D;an;Chen Yunhao;Cui Yanhui;Sun Hao
卫星观测到的非均匀城市像素上的地表温度通常由观测和照明角度以及城市表面的三维几何形状和成分温度分布决定。本文的重点是建立一个几何模型来模拟城市热各向异性考虑重叠的阴影在简化街区（GUTA-osg）。布尔模型和建筑物的投影用于计算视场中城市组成部分的平均分数。将GUTA-osg模拟结果与三维离散各向异性辐射传输模型的模拟结果进行了比较。在视野和太阳天顶角低于50°时，guda -osg可以应用于<inline-formula> < text -math符号="LaTeX">$h/w <2.0$ </ text -math></inline-formula>（建筑高度与间距比）的城市场景，其估计的墙壁和阴影地面的比例误差小于0.1。随着<inline-formula> < text -math notation="LaTeX">$h/w$ </ text -math></inline-formula> >的增大，当应用于建筑平面面积指数值较小的城市场景时（例如<inline-formula> < text -math notation="LaTeX">$\lambda _{p} < 0.3$ </ text -math></inline-formula> = 2.0$ </ text -math> $h/w </inline-formula> -4.0）， guda -osg表现良好。GUTA-osg精确模拟了航空测量温度的各向异性，其<inline-formula> < text -math符号="LaTeX">$R^{2} > 0.85$ </ text -math></inline-formula>，均方根误差< 0.8 K。模型的偏差可能来自于：1)忽略相邻建筑物投射在墙壁上的阴影；2)模型的简化，包括恒定的建筑物高度和建筑物位置和朝向的随机分布。GUTA-osg以城市形态指数为输入，系数值可通过多角度热红外观测拟合得到。该模型可用于将定向温度调整到常见的观看几何形状。
Satellite-observed surface temperatures over heterogeneous urban pixels are generally determined by viewing and illumination angles, as well as by 3-D geometries and component temperature distributions of urban surfaces. This paper focuses on developing a Geometric model to simulate Urban Thermal Anisotropy considering overlaps of shadows on the ground for simplified neighborhoods (GUTA-osg). A Boolean model and projections for buildings are used to calculate the average fractions of urban components in a field of view. Simulation results derived from GUTA-osg are compared with those from the 3-D discrete anisotropic radiative transfer model. At view and solar zenith angles lower than 50°, GUTA-osg can be applied to urban scenes of <inline-formula> <tex-math notation="LaTeX">$h/w <2.0$ </tex-math></inline-formula> (building-height-to-spacing ratio) with confidence where errors of the estimated fraction of walls and shaded ground are less than 0.1. As <inline-formula> <tex-math notation="LaTeX">$h/w$ </tex-math></inline-formula> increases, GUTA-osg performs well when applied to urban scenes with smaller building plan area index values (e.g., <inline-formula> <tex-math notation="LaTeX">$\lambda _{p} < 0.3$ </tex-math></inline-formula> for <inline-formula> <tex-math notation="LaTeX">$h/w = 2.0$ </tex-math></inline-formula>–4.0). GUTA-osg accurately simulates the anisotropy of airborne measured temperatures, with <inline-formula> <tex-math notation="LaTeX">$R^{2} > 0.85$ </tex-math></inline-formula> and root mean square errors < 0.8 K. Biases of the model can result from: 1) the neglect of shadows on walls cast by adjacent buildings and 2) model simplifications, including constant building heights and random distributions of building location and orientation. GUTA-osg uses urban morphologic indexes as inputs, and coefficient values can be derived by fitting against multiangular thermal infrared observations. The model can be used to adjust the directional temperature to a common viewing geometry.
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影响因子：
13.5
作者：
T. Yin;N. Lauret;J. Gastellu-Etchegorry
通讯作者：
T. Yin;N. Lauret;J. Gastellu-Etchegorry
影响因子：
--
作者：
Ma Wei
通讯作者：
Ma Wei
模拟稀疏城市表面热各向异性的几何模型（GUTA-稀疏）
影响因子：
13.5
作者：
Wang D;an;Chen Yunhao;Zhan Wenfeng
通讯作者：
Zhan Wenfeng
影响因子：
5.2
作者：
K. Vinnikov;Yunyue Yu;M. Goldberg;D. Tarpley;P. Romanov;I. Laszlo;Ming Chen
通讯作者：
K. Vinnikov;Yunyue Yu;M. Goldberg;D. Tarpley;P. Romanov;I. Laszlo;Ming Chen
DOI：
10.1109/jstars.2011.2168195
发表时间：
2012-02-01
影响因子：
5.5
作者：
Huang, Xin;Zhang, Liangpei
通讯作者：
Zhang, Liangpei