Geospatial Artificial Intelligence

Geospatial Artificial Intelligence (GeoAI) leverages AI techniques to analyze and interpret geospatial data, aiming to improve efficiency and accuracy in tasks like land cover classification and disaster prediction. Current research heavily emphasizes foundation models, often based on transformer architectures, and self-supervised learning methods to address the challenges of limited labeled data and improve model generalizability across diverse geospatial applications. This field is significant for its potential to enhance environmental monitoring, urban planning, and humanitarian aid efforts by enabling more efficient and accurate analysis of large, complex datasets.