Design and implementation of a PM2.5 remote sensing monitoring system based on Hadoop

被引：0
|
作者：
Wang, L. [1 ,2 ]
Xu, S. [3 ]
Zheng, F. B. [2 ]
Si, Y. D. [1 ]
Ge, Q. [2 ]
机构：
[1] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing, Peoples R China
[2] Henan Univ, Comp & Informat Engn Coll, Kaifeng, Peoples R China
[3] Xinyang Vocat & Tech Coll, Sch Math & Comp Sci, Xinyang, Peoples R China
来源：
ADVANCES IN ENERGY AND ENVIRONMENT RESEARCH | 2017年
基金：
中国国家自然科学基金;
关键词：
AEROSOL;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
With the development of space technology of China, remote sensing data are growing exponentially, which has put forward a high demand of the storage and computation capabilities of related application systems. In this paper, a PM2.5 remote sensing monitoring system based on the framework of cloud computation and Hadoop platform is designed. By using HDFS and MapReduce technologies, the redundant storage and parallel processing of massive data are achieved. Through the speedup analysis of the PM2.5 product from the GF-1 satellite, it validates the high processing efficiency and availability of our system.
引用
收藏
页码：297 / 303
页数：7
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