This paper presents a high-performance geographic tiling system designed to process large-scale JPEG2000 satellite imagery into manageable bitmap tiles with automated coordinate transformation from UTM to WGS84. The system addresses several practical computational challenges encountered during operational processing of high-resolution Earth observation data, particularly memory pressure and I/O overhead during JPEG2000 decoding of Sentinel-2 True Color Images, by implementing a multi-stage pipeline that includes image decoding, spatial reference system transformation, hierarchical tile organization, and metadata generation for integration with the IDataMap visualization platform. The tool leverages OpenJPEG 2.5.4 for efficient JPEG2000 decoding and GDAL with PROJ for robust geospatial transformations. Performance evaluation demonstrates the system’s capability to process multi-gigapixel 2026 satellite imagery with comprehensive error handling, logging infrastructure, and geographic metadata preservation. The resulting tiles are organized in a latitude-longitude hierarchical directory structure and accompanied by an IOC configuration file that enables seamless integration with IDataMap through the IDMBuildOverlay utility for real-time geospatial visualization. Testing on Sentinel-2 imagery shows processing speeds of approximately 0.010 seconds per tile with sub-meter coordinate transformation accuracy.