Geographic Information

Geographic information science focuses on acquiring, representing, analyzing, and managing data about Earth's features and their spatial relationships. Current research emphasizes integrating diverse data sources (satellite imagery, LiDAR, social media, historical maps) using techniques like knowledge graphs and self-supervised learning with models such as variational autoencoders, to improve accuracy and efficiency in tasks such as map registration, navigation, and land-use identification. This field is crucial for addressing societal challenges like urban planning, environmental monitoring, and mitigating biases in predictive models that rely on geospatial data.