Built Environment Reasoning from Remote Sensing Imagery Using Large Vision--Language Models

This work investigates the use of large language models (LLMs) for smart city tasks, leveraging remote sensing imagery to characterize the built environment across multiple spatial scales. The findings highlight the potential of integrating remote sensing with LLMs to assist smart cities and decision-making.