GEO-INTELLIGENCE FOR SUSTAINABLE URBAN PLANNING: INTEGRATING GIS AND REMOTE SENSING FOR SMART CITY DEVELOPMENT

Abstract

The rapid expansion of urban settlements, coupled with the mounting pressures of climate resilience, infrastructure efficiency, and equitable resource distribution, has intensified the need for intelligent spatial decision-making in cities. Geo-intelligence—an integrative approach that harnesses Geographic Information Systems (GIS), remote sensing technologies, and spatial analytics—offers a transformative pathway for designing, monitoring, and managing sustainable urban development. This study examines how a synergistic GIS–remote sensing framework can serve as a foundational tool for smart city planning by enabling real-time environmental assessment, predictive modelling, and evidence-based policy formulation. The research employs a multi-layered analytical process that combines high-resolution satellite imagery, land-use and land-cover classification, spatial pattern analysis, and urban growth modeling to evaluate the dynamics of expanding metropolitan areas. Remote sensing data were processed to identify indicators such as heat-island formation, surface permeability, vegetation loss, mobility corridors, and socio-environmental risk zones. These layers were integrated within a GIS environment to create a comprehensive spatial intelligence system that supports planners, municipal authorities, and sustainability practitioners. Particular attention was given to deriving spatial relationships between ecological stress parameters and anthropogenic expansion, allowing the framework to highlight areas where policy interventions, infrastructure redesign, or environmental restoration are most urgently required. The findings demonstrate that the integration of GIS and remote sensing significantly enhances the ability to detect subtle spatial changes, forecast future urban patterns, and evaluate the long-term sustainability of existing development trajectories. The system proved effective in identifying fragmentation of green networks, rising heat-intensity clusters, and encroachments into ecologically sensitive zones—issues often overlooked in conventional urban planning. The geo-intelligence framework also enabled scenario simulations, helping decision-makers evaluate the implications of zoning adjustments, transportation restructuring, and climate-adaptive policies before implementation. Overall, the study reinforces the argument that smart city development cannot rely solely on digital infrastructure or IoT-based automation but must be grounded in rigorous spatial intelligence. By integrating geospatial technologies into strategic planning, cities can adopt a proactive, sustainability-oriented approach that balances growth with environmental stewardship, social well-being, and resource efficiency. The research establishes a practical blueprint for applying geo-intelligence in contemporary urban contexts and highlights its potential to drive more resilient, inclusive, and environmentally responsible urban futures.