Research and implementation of MODIS L1B data process based on grid computing

Liang Tao; Deqing Chen; Lingkui Meng; Jiyuan Li; Zhanfeng Wang

doi:10.1117/12.815732

29 December 2008 Research and implementation of MODIS L1B data process based on grid computing

Liang Tao, Deqing Chen, Lingkui Meng, Jiyuan Li, Zhanfeng Wang

Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 72852I (2008) https://doi.org/10.1117/12.815732
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China

Abstract

MODIS (Moderate Resolution Imaging Spectroradiometer, Moderate Resolution Imaging Spectroradiometer) is carrying on a major satellite remote sensing sensors of EOS series in the United States. MODIS remote sensing data is the new generation of satellite remote sensing information sources; it has broad application prospects in ecological research, environmental monitoring, global climate change and agricultural resources survey and other studies. MODIS data has featured a large volume of data and dealing with complex. In this paper Grid Computing technology brought to the processing of MODIS L1B Data is in order to improve the efficiency. First of all, this paper gives a brief introduction of MODIS L1B data and its application status, also talks about gird computing. Then the structure of MODIS L1B Data Process Based on Grid Computing (MLDPGRID) on logic is given, also explain the function of three tiers. In the realization section, receiving of MODIS L1B data, Grid Platform, software environment and network architecture, processing of MODIS L1B data and portal of MLDPGRID are all discussed. Finally, the paper gives the evaluation and conclusion of the MLDPGRID, meanwhile the optimization strategy and future work are discussed.

Citation Download Citation

Liang Tao, Deqing Chen, Lingkui Meng, Jiyuan Li, and Zhanfeng Wang "Research and implementation of MODIS L1B data process based on grid computing", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72852I (29 December 2008); https://doi.org/10.1117/12.815732

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