One of the most important features of a tourist mapping service is its ability to speed up the process of large image navigation. To achieve this goal, most techniques use interactive compressions such as Multiresolution Seamless Image Database, ERMapper compressed wavelet, and JPEG2000. An alternative approach is proposed in this article using quadtree structures, which allows direct access to information and avoids compression and decompression operations. The proposed strategy is designed to function within a framework of interoperability and integration with the universal search platforms of mapping services. In this study, a photogrammetric image of the entire Andalusia region is used to assess a strategy of cutting and merging images and evaluate the geometric accuracy of the raster data. The proposed approach is shown to result in errors of less than 2.5 m at more than 90% of the control points.