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Cloud computing-based high accuracy surface modeling method for China's Poyang Lake basin DEM generation
Yan, Changqing1; Liu, Jimin1; Chen, Chuanfa2,3; Yue, Tianxiang4,5
2019-07-01
Source PublicationENVIRONMENTAL EARTH SCIENCES
ISSN1866-6280
Volume78Issue:14Pages:8
Corresponding AuthorYan, Changqing(yancq.2012@gmail.com)
AbstractThe increasing availability of big spatial data demands large-scale surface modeling methods. To find a solution for large-scale surface modeling problem, based on previously developed high accuracy surface modeling (HASM) method, an extended high accuracy surface modeling method utilizing cloud computing is developed. The developed method was run on a Hadoop-based cloud computing environment comprising four computers and applied for China's Poyang Lake basin digital elevation model construction. The experiments results indicate that the cloud computing-based method outperforms the general sequential method based on single computer significantly and attains three times speedups. Furthermore, the improved schedule algorithm for cloud computing-based HASM has further accelerated the computing speed.
KeywordHASM Cloud computing Large-scale-surface modeling Digital elevation model
DOI10.1007/s12665-019-8387-9
Indexed BySCI
Language英语
Funding ProjectSino-German Cooperation Group Modelling Platform Prototype for Environmental System Dynamics[GZ1167] ; Sino-German Centre for Science Promotion ; National Statistics Research Project[2016LZ12] ; State Key Laboratory of Resources and Environmental Information System ; Science and Technology Plan Project of Taian City[201630576]
Funding OrganizationSino-German Cooperation Group Modelling Platform Prototype for Environmental System Dynamics ; Sino-German Centre for Science Promotion ; National Statistics Research Project ; State Key Laboratory of Resources and Environmental Information System ; Science and Technology Plan Project of Taian City
WOS Research AreaEnvironmental Sciences & Ecology ; Geology ; Water Resources
WOS SubjectEnvironmental Sciences ; Geosciences, Multidisciplinary ; Water Resources
WOS IDWOS:000484322000001
PublisherSPRINGER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/69662
Collection中国科学院地理科学与资源研究所
Corresponding AuthorYan, Changqing
Affiliation1.Shandong Univ Sci & Technol, Dept Informat Engn, Tai An, Shandong, Peoples R China
2.Shandong Univ Sci & Technol, State Key Lab Min Disaster Prevent & Control Cofo, Qingdao, Shandong, Peoples R China
3.Shandong Univ Sci & Technol, Minist Sci & Technol, Qingdao, Shandong, Peoples R China
4.State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
5.Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Yan, Changqing,Liu, Jimin,Chen, Chuanfa,et al. Cloud computing-based high accuracy surface modeling method for China's Poyang Lake basin DEM generation[J]. ENVIRONMENTAL EARTH SCIENCES,2019,78(14):8.
APA Yan, Changqing,Liu, Jimin,Chen, Chuanfa,&Yue, Tianxiang.(2019).Cloud computing-based high accuracy surface modeling method for China's Poyang Lake basin DEM generation.ENVIRONMENTAL EARTH SCIENCES,78(14),8.
MLA Yan, Changqing,et al."Cloud computing-based high accuracy surface modeling method for China's Poyang Lake basin DEM generation".ENVIRONMENTAL EARTH SCIENCES 78.14(2019):8.
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