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    Ensemble dust detection techniques utilizing a web-based workflow environment linked to a high performance computing system

    Access Status
    Fulltext not available
    Authors
    Broomhall, M.
    Chedzey, H.
    Garcia, R.
    Lynch, Mervyn
    Fearns, P.
    King, E.
    Wang, Z.
    Smith, G.
    Schibeci, D.
    Date
    2011
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Broomhall, M. and Chedzey, H. and Garcia, R. and Lynch, M. and Fearns, P. and King, E. and Wang, Z. et al. 2011. Ensemble dust detection techniques utilizing a web-based workflow environment linked to a high performance computing system, in Proceedings of the 34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring, Apr 10-15 2011, Section 11: Data and Information Systems, pp. 713-716. Sydney, Australia: ISRSE.
    Source Title
    34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring
    Additional URLs
    http://www.isprs.org/proceedings/2011/ISRSE-34/
    School
    Department of Physics and Astronomy
    URI
    http://hdl.handle.net/20.500.11937/19538
    Collection
    • Curtin Research Publications
    Abstract

    The advection of mineral dust has implications for crop lands, radiative forcing and public health. Satellite imagery is the only effective way to monitor dust storm events in remote regions and on a national or international basis. The MODerate resolution Imaging Spectroradiometer (MODIS) has attributes that make it ideal for such monitoring. This case study investigates the implementation of dust detection algorithms for the MODIS instrument within a workflow system combined with a High Performance Computer (HPC) environment. This new remote sensing workflow system provides a powerful tool to researchers without the requirement to have any knowledge of remote sensing data processing techniques.

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