IGSNRR OpenIR
Big-Data-Driven Resource Discipline Innovation Platform and Application Scenarios
Juanle,Wang1,3; Xuehua,Han1; Kun,Bu2; Jianghao,Wang1; Haishuo,Wei1; Kai,Cheng1
2020-06-01
Source PublicationIOP Conference Series: Earth and Environmental Science
ISSN1755-1307
Volume509Issue:1
AbstractAbstract Based on the development of resource disciplines and their conformity with the demand of sustainable development, this paper analyzes the framework of a big-data-driven resource discipline innovation platform, as well as big data-driven scenarios with the application of typical resource discipline scientific research activities. The three typical application scenarios of this paper are as follows: (1) the ecological risk prevention and control of traffic and pipelines in the China-Mongolia-Russia Economic Corridor; (2) a resource and environmental carrying capacity assessment in Beijing-Tianjin-Hebei; and (3) a big-data-driven panoramic evaluation of beautiful China.
DOI10.1088/1755-1315/509/1/012059
Language英语
WOS IDIOP:1755-1307-509-1-012059
PublisherIOP Publishing
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Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/158351
Collection中国科学院地理科学与资源研究所
Affiliation1.State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
2.Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun130103, China
3.Jiangsu Centre for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
Recommended Citation
GB/T 7714
Juanle,Wang,Xuehua,Han,Kun,Bu,et al. Big-Data-Driven Resource Discipline Innovation Platform and Application Scenarios[J]. IOP Conference Series: Earth and Environmental Science,2020,509(1).
APA Juanle,Wang,Xuehua,Han,Kun,Bu,Jianghao,Wang,Haishuo,Wei,&Kai,Cheng.(2020).Big-Data-Driven Resource Discipline Innovation Platform and Application Scenarios.IOP Conference Series: Earth and Environmental Science,509(1).
MLA Juanle,Wang,et al."Big-Data-Driven Resource Discipline Innovation Platform and Application Scenarios".IOP Conference Series: Earth and Environmental Science 509.1(2020).
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