中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Big Earth Data from space: a new engine for Earth science

文献类型:期刊论文

作者Guo, Huadong; Wang, Lizhe; Liang, Dong
刊名Science Bulletin
出版日期2016
卷号61期号:7页码:505-513
关键词SCATTERING MODEL PADDY RICE INVERSION INDEX
通讯作者Guo, Huadong (hdguo@radi.ac.cn)
英文摘要Big data is a strategic highland in the era of knowledge-driven economies, and it is also a new type of strategic resource for all nations. Big data collected from space for Earth observation—so-called Big Earth Data—is creating new opportunities for the Earth sciences and revolutionizing the innovation of methodologies and thought patterns. It has potential to advance in-depth development of Earth sciences and bring more exciting scientific discoveries. The Academic Divisions of the Chinese Academy of Sciences Forum on Frontiers of Science and Technology for Big Earth Data from Space was held in Beijing in June of 2015. The forum analyzed the development of Earth observation technology and big data, explored the concepts and scientific connotations of Big Earth Data from space, discussed the correlation between Big Earth Data and Digital Earth, and dissected the potential of Big Earth Data from space to promote scientific discovery in the Earth sciences, especially concerning global changes. © 2016, Science China Press and Springer-Verlag Berlin Heidelberg.
学科主题Science & Technology - Other Topics
类目[WOS]Multidisciplinary Sciences
收录类别SCI ; EI
语种英语
WOS记录号WOS:20161202141401
源URL[http://ir.radi.ac.cn/handle/183411/39414]  
专题遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位 Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China
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GB/T 7714
Guo, Huadong,Wang, Lizhe,Liang, Dong. Big Earth Data from space: a new engine for Earth science[J]. Science Bulletin,2016,61(7):505-513.
APA Guo, Huadong,Wang, Lizhe,&Liang, Dong.(2016).Big Earth Data from space: a new engine for Earth science.Science Bulletin,61(7),505-513.
MLA Guo, Huadong,et al."Big Earth Data from space: a new engine for Earth science".Science Bulletin 61.7(2016):505-513.

入库方式: OAI收割

来源:遥感与数字地球研究所

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