A unified representation method for interdisciplinary spatial earth data

作     者：Shuang Wang Jian Wang Qin Zhan Lianchong Zhang Xiaochuang Yao Guoqing Li 

作者机构：Aerospace Information Research InstituteChinese Academy of SciencesBeijingChina School of ElectronicElectrical and Communication EngineeringUniversity of Chinese Academy of SciencesBeijingChina College of Land Science and TechnologyChina Agricultural UniversityBeijingChina 

出 版 物：《Big Earth Data》 (地球大数据（英文）)

年 卷 期：2023年第7卷第1期

页      面：126-145页

核心收录：

学科分类：07[理学] 0708[理学-地球物理学] 0816[工学-测绘科学与技术] 070202[理学-粒子物理与原子核物理] 0702[理学-物理学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This work was supported by Open Science-oriented Interoperable Global Earth Observation System of Systems(grant number 2019YFE0126400) Programme of Cooperation on the Analysis of Carbon Satellites Data(grant number 131211KYSB20180002). 

主　　题：Unified representation spatial earth data general metadata model data organization model Spatial Earth Data Format 

摘      要：Unified representation of spatial earth data is an essential scientific issue.The analysis and mining of interdisciplinary spatial earth data resources can help discover hidden scientific knowledge,and even reveal the intrinsic relationship among different disciplines.However,the different description methods and inner structures among interdisciplinary spatial earth data bring significant chal-lenges to unified data management and collaborative analysis in earth environment research.To address this issue,this paper pro-poses a unified representation method for interdisciplinary spatial earth data.First,this paper establishes a general metadata model and realizes the unified description of interdisciplinary data.Second,an entity data organization model is presented,which can realize the unified organization of entity data with different inner structures.Finally,we introduce the Spatial Earth Data Format(SEDF),a data format based on HDF5 for implementing the data organization model of interdisciplinary spatial earth data.Data representation experiments and validation are conducted to verify the availability and practicability of the proposed data representa-tion method.The results suggest the powerful ability to represent spatial earth data efficiently and ensure data integrity,which is convenient for data management and application.