Autonomous Geographic Information System

Autonomous Geographic Information Systems (AGIS) aim to automate geospatial data processing, analysis, and visualization tasks using artificial intelligence, particularly large language models (LLMs). Current research emphasizes developing frameworks for autonomous data retrieval from diverse sources and applying machine learning techniques for automated feature extraction and change detection in high-resolution imagery, often leveraging computer vision and object detection algorithms. This automation promises to significantly accelerate geospatial analysis, improve accessibility for non-experts, and enhance the efficiency of infrastructure monitoring and other applications requiring timely and accurate geographic information.