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 o vercomes 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.