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The design and implementation of grid computing platform for aerosol remote sensing (GCP-ARS) - art. no. 675245
Tang, Jiakui ; Zhang, Aijun
2007
关键词remote sensing grid computing acronyms references
英文摘要The grid refers to an infrastructure that dynamically aggregates computing resources which are geographically distributed or heterogeneous, and leverages on resources for computational intensive applications. The technology has been applied in many disciplines. However, applications in aerosol retrieval from remote sensing data are just started. Aerosol retrieval using satellite images is to abstract the aerosol information such as aerosol optical thickness, size distribution, which are the key parameters for climate modeling, satellite image atmospheric correction, and environment pollution monitoring, etc, the procedure of which is not only data intensive but also computing intensive. In this paper, we mainly discussed the issues upon the design and implementation of grid computing platform for aerosol remote sensing (GCP-ARS), which is a grid middleware we have proposed to bridge the users and grid computing platform for aerosol retrieval. The concluding remarks and future work direction are given finally.; Remote Sensing; Optics; EI; CPCI-S(ISTP); 0
语种英语
DOI标识10.1117/12.761328
内容类型其他
源URL[http://ir.pku.edu.cn/handle/20.500.11897/312018]  
专题地球与空间科学学院
推荐引用方式
GB/T 7714
Tang, Jiakui,Zhang, Aijun. The design and implementation of grid computing platform for aerosol remote sensing (GCP-ARS) - art. no. 675245. 2007-01-01.
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