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    Development of cloud removal and land cover Change extraction algorithms for remotely-sensed Landsat imagery

    227006_Usman 2015.pdf (3.754Mb)
    Access Status
    Open access
    Authors
    Usman, Ahmad Basyiruddin
    Date
    2011
    Supervisor
    Prof. Peter Caccetta
    Prof. Louis Caccetta
    Type
    Thesis
    Award
    MPhil
    
    Metadata
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    School
    Department of Mathematics and Statistics
    URI
    http://hdl.handle.net/20.500.11937/515
    Collection
    • Curtin Theses
    Abstract

    Land cover change monitoring requires the analysis of remotely-sensed data. In the tropics this is difficult because of persistent cloud cover, and data availability. This research focuses on the elimination of cloud cover as an important step towards addressing the issue of change detection. The result produced clearer images, whereas some persistent cloud remains. This persistent cloud and the cloud adjacency effects diminish the quality of image product and affect the change detection quality.

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