Conference Topics

Geospatial Artificial Intelligence is an emerging field that combines advanced AI techniques with geospatial data to analyze, model, and manage complex environmental and urban systems. By integrating spatial information with machine learning and data-driven methods, it enables new capabilities for Earth observation, resource optimization, and informed decision-making in a rapidly changing world. The GeoAI4SD 2026 conference aims to bring together researchers, academics, practitioners, and industry leaders to discuss emerging methods, applications, and challenges at the intersection of artificial intelligence, geospatial technologies, sustainability, and digital transformation. It provides a platform for showcasing innovative GeoAI approaches that contribute to addressing global environmental and societal challenges, including the achievement of the United Nations Sustainable Development Goals (SDGs). Contributions are encouraged across a broad range of topics, including spatial data science, remote sensing technologies, machine learning applications, geospatial data infrastructures, urban and environmental digital twins, and intelligent decision-support systems for building resilient and sustainable territories.