• DocumentCode
    2248475
  • Title

    Research on Automatic Composite of MODIS Data Based on Grid

  • Author

    Meng, Lingkui ; Li, Jiyuan ; Tao, Liang ; Chen, Zidan ; Chen, Deqing

  • Author_Institution
    Sch. of Remote Sensing & Inf. Eng., Wuhan Univ., Wuhan, China
  • Volume
    1
  • fYear
    2008
  • fDate
    19-19 Dec. 2008
  • Firstpage
    404
  • Lastpage
    407
  • Abstract
    Moderate resolution imaging spectror adiometer (MODIS) remote sensing data is one of the new generation satellite remote sensing information sources. Composition of MODIS data is involved in a large number of complex calculations. In this paper, we present a plan of automatic composition of MODIS data based on grid. First of all, the framework is given which is designed for automatic composite of MODIS data based on grid. It achieves the high efficiency of automatic process through task division, task scheduling, distribute strategies and data communication mode. On the basis of business characteristics of MODIS composition, we divide the tasks and rebuild sub-tasks properly, then take different scheduling and distribute strategies to the grid tasks according to different flows and jobs. Meanwhile, we compare three communication modes, and then realize it in the efficient way. Finally, the paper gives evaluation of the grid and looks forward to the future work.
  • Keywords
    geography; grid computing; remote sensing; scheduling; MODIS data; automatic composite; data communication mode; distribute strategy; grid; moderate resolution imaging spectror adiometer; remote sensing data; satellite remote sensing information sources; task division; task scheduling; Brightness temperature; Calibration; Clouds; Grid computing; MODIS; Radiometry; Reflectivity; Remote sensing; Seminars; Vegetation; Grid; MODIS; automation; composite; scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business and Information Management, 2008. ISBIM '08. International Seminar on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3560-9
  • Type

    conf

  • DOI
    10.1109/ISBIM.2008.128
  • Filename
    5117513