A Review of Practical AI for Remote Sensing in Earth Sciences

Integrating Artificial Intelligence (AI) techniques with remote sensing holds great potential for revolutionizing data analysis and applications in many domains of Earth sciences. This review paper synthesizes the existing literature on AI applications in remote sensing, consolidating and analyzing AI methodologies, outcomes, and limitations. The primary objectives are to identify research gaps, assess the effectiveness of AI approaches in practice, and highlight emerging trends and challenges. We explore diverse applications of AI in remote sensing, including image classification, land cover mapping, object detection, change detection, hyperspectral and radar data analysis, and data fusion. We present an overview of the remote sensing technologies, methods employed, and relevant use cases. We further explore challenges associated with practical AI in remote sensing, such as data quality and availability, model uncertainty and interpretability, and integration with domain expertise as well as potential solutions, advancements, and future directions. We provide a comprehensive overview for researchers, practitioners, and decision makers, informing future research and applications at the exciting intersection of AI and remote sensing.

Automated summary

Integrating AI techniques with remote sensing has the potential to revolutionize data analysis and applications in Earth sciences. This review paper synthesizes existing literature on AI applications in remote sensing, analyzing methodologies, outcomes, and limitations. The primary objectives are to identify research gaps, assess the effectiveness of AI approaches, and highlight emerging trends and challenges. The paper explores diverse applications of AI in remote sensing, presents an overview of technologies and methods employed, and discusses challenges and potential solutions. It provides a comprehensive overview for researchers, practitioners, and decision makers in the AI and remote sensing intersection.