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  • 标题:Study on Massive Vegetation Data Processing of FY-3 Based on RAM (h)
  • 本地全文:下载
  • 作者:Manyun Lin ; Xiangang Zhao ; Cunqun Fan
  • 期刊名称:Journal of Geoscience and Environment Protection
  • 印刷版ISSN:2327-4336
  • 电子版ISSN:2327-4344
  • 出版年度:2017
  • 卷号:5
  • 期号:4
  • 页码:75-83
  • DOI:10.4236/gep.2017.54007
  • 语种:English
  • 出版社:Scientific Research Pub
  • 摘要:The vegetation data of the Fengyun meteorological satellite are segmented according to the latitude and longitude, and can be written into 648 blocks. However, the vegetation data processing efficiency is low because the data belongs to massive data. This paper presents a data processing method based on RAM (h) for Fengyun-3 vegetation data. First of all, we introduce the Locality-Aware model to segment the input data, then locate the data based on geographic location, and finally fuse the independent data based on geographical location. Experimental results show that the proposed method can effectively improve the data processing efficiency.
  • 关键词:Meteorological SatelliteVegetation DataRAM (h)Massive Data Processing
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