Quantitative Retrieval of Geophysical Parameters Using Satellite Data

  • Authors:
  • Yong Xue;Wei Wan;Yingjie Li;Jie Guang;Linyian Bai;Ying Wang;Jianwen Ai

  • Affiliations:
  • State Key Laboratory of Remote Sensing Science;State Key Laboratory of Remote Sensing Science;Graduated University of the Chinese Academy of Sciences;State Key Laboratory of Remote Sensing Science;State Key Laboratory of Remote Sensing Science;State Key Laboratory of Remote Sensing Science;State Key Laboratory of Remote Sensing Science

  • Venue:
  • Computer
  • Year:
  • 2008

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Abstract

The remote sensing information service grid node (RSIN) is a tool for dealing with climate change and quantitative environmental monitoring. Based on the high-throughput computing grid, RSIN enables a workflow management system for data placement. The accompanying unified data-and-computation-schedule algorithm helps load balancing between and within workflow steps.