本期特刊将探讨人工智能驱动的地球与空间科学数据工程,以满足日益增长的智能方法在管理、整合和重用复杂科学数据方面的需求。本期特刊重点关注将人工智能技术(例如机器学习、知识表示、推理和智能体)与先进的数据工程实践相结合的方法,以实现可扩展、可互操作且符合 FAIR 原则(可查找、可访问、可互操作、可重用)的数据工程。
This special issue will explore AI-driven data engineering for Earth and Space Sciences, addressing the growing need for intelligent methods to manage, integrate, and reuse complex scientific data. The collection focuses on approaches that combine Artificial Intelligence techniques—such as machine learning, knowledge representation, reasoning, and intelligent agents—with advanced data engineering practices to enable scalable, interoperable, and FAIR (Findable, Accessible, Interoperable, Reusable