Developed a read-only CPHD driver for the OSGeo/gdal repository, enabling direct access to multi-dimensional CPHD datasets from Umbra and Capella within the GDAL geospatial stack. The implementation, written in C++ with Python testing, supported reading complex related arrays such as signal blocks and per-vector parameters, aligning with GDAL’s multi-dimensional raster model. By integrating this capability without introducing external dependencies, the work enhanced automated geospatial data processing pipelines and improved accessibility for CPHD data. The approach demonstrated a strong focus on robust C++ development, geospatial data processing, and seamless integration with existing open-source geospatial infrastructure and workflows.