通过遥感影像云量数据和地面站点日照百分率观测数据建立遥感集成日照百分率模型，模拟遥感集成日照百分率的空间分布。基本思路是以空间尺度上的富余弥补时间尺度上的稀缺。云的移动是连续的，所以一幅云量遥感影像中，某一格网点周围一定区域范围内的云量都有可能对该点日照情况产生影响，因此对遥感总云量数据在日照轨迹内及云移动所经路径内重采样，能够更接近可照时段内云量的真实情况。然后按云量和日照百分率的负相关性，建立了日尺度的日照百分率遥感集成综合模型，实现对遥感集成日照百分率的模拟，完成日照百分率的遥感集成空间分布模拟图。结果表明：（1）重采样后的总云量克服了云量观测在时间上的局限性；（2）遥感集成日照百分率克服了气象站点空间上的局限性；（3）遥感集成日照百分率模型模拟精度相对插值法有显著的提高。

This paper establishes a Remote Sensing (RS) integration model of sunshine percentage and realizes its spatial distribution through the RS image data of cloud cover and ground-based observation data of sunshine percentage. The basic idea is to make up for time scarcity with surplus space. Since cloud movement is continuous, cloud cover in a certain area around a particular pixel has the potential to affect the sunshine percentage of this pixel in an RS image of cloud cover. Therefore, cloud cover can be reflected more realistically by resampling cloud cover through tracking sunshine and the movement of clouds. According to a negative correlation between the cloud cover and sunshine percentage, this paper establishes a model of RS integrated sunshine percentage and simulates the distribution of RS integrated sunshine percentage. The results show that: the re-sampled cloud cover overcomes the limitations of cloud cover observations in the same time frame. The model of RS integration of sunshine percentage overcomes the limitation of meteorological stations in space. The simulation accuracy of the RS integrated sunshine percentage model's relative interpolation method has been improved remarkably. RS integrated sunshine percentage has more stability and continuity in space and its simulation result is more objective.