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准确量化地表太阳辐射量是反射率遥感反演之基础，开展城区表面辐射研究具有重要意义。本文选择天空视域因子(V)表征城区下垫面形态特征，并区分太阳直接辐射、天空漫辐射以及环境辐射的不同影响，构建了城区表面太阳辐射模型(Urban Surface Solar Radiative, USSR)；然后，以Landsat 8可见光和近红外波段遥感数据为例，分析了USSR模型对于量化城区表面太阳辐射的应用前景。研究结论为：(1) USSR模型以天空视域为核心要素，清楚量化了城区表面各辐射分量，有效模拟了城区表面太阳辐射传输过程，能够较好地表达城区下垫面形态结构对入射辐射的影响；(2) 将USSR模型应用于Landsat 8遥感数据可见光和近红外波段时，基于USSR模型估算得到的城区表面太阳辐射，与不考虑下垫面形态特征影响相比，前者可以较好地表达城区下垫面对入射辐射的“截留”作用；(3) USSR模型估算结果与TEB模型相比，二者具有较高的相关性，间接验证了USSR模型的可用性；(4) 对USSR模型的V和下垫面反射率两变量进行敏感性分析，显示随着V值的增加，结果呈递增趋势；通常情况下的参数设置值，相对于参数V的影响要弱，呈现不敏感性。本文提出的USSR模型可订正城区表面太阳辐射值，从而拓展城市遥感的应用深度和广度。
Accurate quantification of surface solar radiation is the basis of remote sensing inversion of reflectivity, and it is of great significance to carry out research on urban surface radiation. This paper selects the sky view factor to characterize the morphological characteristics of the underlying surface of the urban area, and constructs the Urban Surface Solar Radiation Model (USSR). This model has distinguished the different effects of direct solar radiation, diffuse sky radiation and environmental radiation on ground objects. Taking the remote sensing data of Landsat 8 visible and near-infrared bands as an example, the application prospect of the USSR model for the quantification of urban surface solar radiation was analyzed. The research conclusions are as follows: (1) The USSR clearly quantifies the radiation components of urban surface based on the sky view factor (V), which can effectively solve the simulation of solar radiation transfer process of urban surface and better express the influence of the morphological structure of urban underlying surface on the incident radiation. (2) When USSR is applied to the estimates of solar radiation in the visible and near-infrared bands of Landsat 8 remote sensing data, compared with the estimated values without considering the influence of the morphological characteristics of the underlying surface, the urban surface solar radiation values estimated based on the USSR model can better express the “interception” effect of urban underlying surfaces on the incident radiation. (3) Compared with the TEB model, the USSR model estimates have a high correlation, which indirectly verifies the availability of the USSR model. (4) According to the sensitivity analysis of V and reflectivity of the underneath surface, the results show an increasing trend as the V value of the underlying surface increased. In general, the parameter setting value is weak and insensitive compared with the parameter V. The USSR model proposed in this paper can correct the estimation results of urban surface solar radiation and improve the reliability of estimation results, which can expand the application depth and breadth of urban remote sensing.