The traditional location method based on cloud computing needs to analyze a large amount of geographic data, leading to a complex location process and errors in the location results. Therefore, this study puts forward a new unmanned aerial vehicle (UAV) global positioning system (GPS) remote sensing location method in a post-earthquake area. Its functions include the sensing subsystem, remote sensing air control subsystem, UAV platform, UAV ground control subsystem, three-dimensional (3D) model image reconstruction, and target location analysis. In reconstructing the 3D image model of the earthquake disaster area, we first extracted the digital elevation model (DEM) data of the area, then mapped the image texture measured by UAV GPS remote sensing to the DEM. We used the ranging target positioning method to perform the target localization analysis. The UAV was used in different positions to locate the target to realize the location analysis of the post-earthquake area and obtain the target coordinate. The experimental results showed that the proposed method can improve the precision of the target location and shorten the time of the target location.