EOS situational data shared service mechanism

6th Digital Earth Summit

地球科学;计算机科学

Lv, L.^1 ; Xu, Q.^1 ; Lan, C.Z.^1 ; Shi, Q.S.^1 ; Lu, W.J.^1 ; Wu, W.Q.^2

Institute of Surveying and Mapping, Information Engineering University, 66 Longhai Road, Zhengzhou, Henan

450001, China^1

61243 Troops, Urumqi, Xinjiang

830006, China^2

关键词: Complicated structures;    Earth observation systems;    Ground observations;    High quality data;    Remote sensing technology;    Space environment;    Space situational awareness;    Surrounding environment;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/46/1/012015/pdf
DOI  :  10.1088/1755-1315/46/1/012015

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

With the rapid development of aerospace and remote sensing technology, various high-resolution Earth Observation Systems (EOS) are widely used in economic, social, military and other fields and playing an increasingly prominent role in the construction of Digital Earth and national strategic planning. The normal operation of the system is the premise of high quality data acquisition. Compared with the ground observation mode, EOS itself and the surrounding environment are more complex, and its operation control mainly depends on all kinds of Space Situational Awareness (SSA) data acquisition and analysis. SSA data has more extensive sources, larger volume, stronger time-effectiveness and more complicated structure than traditional geographical spatial data. For effective data sharing and utilization, combined with the analysis of data types and structures, a SSA data sharing identity language SSDSML is designed based on the extensible mark-up language XML, which realizes a comprehensive description of satellites and their attributes, space environment, ground stations, etc. Then EOS situational data shared service mechanism is established and provides a powerful data support for the normal operation of the system.