Geospatial Intelligence (GEOINT) refers to the use of geographic information systems (GIS), remote sensing, and advanced analytics to collect, analyze, and interpret spatial data. This multidisciplinary field combines geospatial data science with technologies such as machine learning, artificial intelligence, and geospatial artificial intelligence (GeoAI) to provide deeper insights into how the Earth’s features and human activities interact. By processing large amounts of spatial data, GEOINT enables better decision-making and improved understanding of the complexities of the physical and social environments. It plays a crucial role in mapping, monitoring, and managing various aspects of our world, from urban landscapes to ecosystems, infrastructure, and natural resources.

GEOINT can be a transformative tool for building environmentally and socially sustainable cities. By leveraging geospatial data and predictive models, cities can optimize resources, reduce environmental impacts, and enhance resilience to climate change. GeoAI applications can support sustainable urban planning by optimizing green infrastructure, improving transportation systems, and monitoring environmental health, such as air quality and energy usage. Furthermore, participatory approaches, such as citizen science and community-based mapping, allow for the integration of local knowledge and perspectives, fostering social equity. With GEOINT, cities can be designed not only to thrive in harmony with the environment but also to prioritize inclusivity, resilience, and well-being for all residents.