An Overview of Sustainable Development Applications Using Artificial Intelligence and Remote Sensing in Urban Planning

Rapid urbanization across the world creates several challenges for the field of sustainable development. One promising approach to addressing challenges in urban planning and fostering sustainable development in such a setting is the integration of AI with remote sensing technology. This research provides a summary of how AI and remote sensing are being used for sustainable development in urban planning. The article’s first part presents an outline of the most pressing issues created by urbanization, such as population growth, resource depletion, environmental degradation, and increased energy use. It emphasizes the need to include sustainable development concepts in urban planning to address these concerns. Focusing on its ability to gather high-resolution spatial data, monitor changes in land use, and assess environmental conditions, this article explores the role that remote sensing plays in urban planning. The merging of AI algorithms with remote sensing data enables the automation of operations like photo classification, object detection, and data analysis, hence enhancing the efficiency and accuracy of urban planning procedures.