Earth Science Data Sharing and Interoperability: Progress and Prospective

Abstract:

Earth science data resources have been greatly enriched, such as thousands of petabytes of Earth environment observation data around the world, a century-long climate change simulation and prediction data, geographic analysis models with different environments and interfaces, spatial information services spread across the entire network, huge amount of geoscience literature and reports. This report first reviews the key progress in the global sharing and interoperability of these data resources, and then introduces the progresses on the following aspects: the spatial and temporal integration indexing and search methods for remote sensing images, a ISO standard for encoding remote sensing image geolocation models, identifying satellites and payload entities from geoscience literature, SDG-oriented evaluation model of Earth observation capabilities, and knowledge representation in the field of global change science. Finally, this report summarizes the development trend of this field from the perspectives of semantic understanding, collaborative analysis, and intelligent recommendation. It points out that the transition from "available" to "trustworthy" is an important characteristic.