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Design and Implementation of a PM2.5 Remote Sensing Monitoring System Based on Hadoop

L. Wang,S. Xu, F. B. Zheng, Y. D. Si,Q. Ge

ADVANCES IN ENERGY AND ENVIRONMENT RESEARCH(2017)

Chinese Acad Sci

Cited 1|Views24
Abstract
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.
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Key words
Emergency Situation Monitoring,Topic Modeling
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