Abstract: Cloud 3D data have a wide range of practical applications. The generation of cloud top height by using 3D data is very important in aviation synoptics. It is also an effective tool for identifying the weather system strength, especially for recognizing the cloud area. The method determines the parallax data by detecting the corresponding points between two or more images, and calculates the position, orientation and depth of objects in 3D space, and reconstruct 3D scene. This paper employs the VISSR cloud data to measure 3D image from geostationary meteorological satellite FY-2E, FY-2C, and uses the pair of shoot images from the FY-2E and FY-2C at different angles in the same area to obtain 3D data of the VISSR images. The data processing method got around 70% of accurate disparity maps, about 3km of the lowest cloud-top altitude. The key technologies such as virtual camera model building, image matching and spatial 3D acquisition are introduced.