GeoAI System

GeoAI, or geospatial artificial intelligence, integrates artificial intelligence techniques with geospatial data to solve complex problems in various domains. Current research emphasizes developing robust and efficient GeoAI systems, focusing on self-supervised learning to address data scarcity, employing models like convolutional neural networks, vision transformers, and XGBoost for tasks such as building modeling and flood inundation mapping, and exploring foundation models for improved generalizability. This interdisciplinary field is significantly impacting urban planning, environmental monitoring, and disaster response through improved data analysis and predictive capabilities, while also raising important ethical considerations regarding bias, transparency, and data privacy.