Contributed a focused documentation enhancement to the OSGeo/gdal repository, clarifying how Rasdaman functions as a scalable datacube engine for spatio-temporal data management. The work centered on improving user guidance for integrating Rasdaman with GDAL, outlining its capabilities and deployment considerations to support large-scale datacube workflows. Leveraging expertise in GIS and data management, the developer used reStructuredText to deliver clear, accessible documentation that aids onboarding for data engineers and GIS analysts. This targeted feature addressed the need for comprehensive integration instructions, ensuring that users can effectively utilize Rasdaman’s strengths within the GDAL ecosystem for advanced geospatial applications.