Maps like cadastral, thematic, or topographic maps in current practice are predominantly frameworks poised of geospatial information and communication technologies (Geo-ICT) used for geographic planning in urban architecture, landscaping, waste management, etc. Timeworn practices of small-scaled maps 1:25k are now wall hanging/atlas pages but are less used in micro-level smart cities, as well as planning green corridors, expansion, and scheduling. Drone-based photogrammetry, LiDAR, Radar Interferometry, WEB GIS, remote sensing technologies, artificial intelligence, underwater mapping, etc., prefer innovative techniques applicable to large-scale maps (<1:10000). Presently, security, the Internet of Things (IoT), surveillance issues, implicative rules, and regulations throughout the globe are preferred for map-making for smart cities and geospatial infrastructure realms. The small- scale maps are prepared by using large-scale maps(LSM), with their Metadata from a multi-scale spatial database. The compiling and generalizing are done using the metadata features through modern mapmaking software. The present need is preparing and using large-scale maps and saving them on big data platforms with their Metadata after ratification and compilation to generate small-scale maps,(SSM) for planning of smart city infrastructures. The present study elucidates the generation of SSM of Adilabad, Bhubaneswar and Banaras city declared as three smart cities of India.