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    Using Unmanned Aerial Vehicles to assess the rehabilitation performance of open cut coal mines

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    Name:
    Journal_Cleaner_Production_v23_.pdf
    Size:
    1.788Mb
    Format:
    PDF
    Description:
    Accepted Manuscript
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    Type
    Article
    Authors
    Johansen, Kasper
    Erskine, Peter D.
    McCabe, Matthew cc
    KAUST Department
    Water Desalination and Reuse Research Center (WDRC)
    Biological and Environmental Sciences and Engineering (BESE) Division
    Environmental Science and Engineering Program
    Date
    2018-10-29
    Online Publication Date
    2018-10-29
    Print Publication Date
    2019-02
    Permanent link to this record
    http://hdl.handle.net/10754/629885
    
    Metadata
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    Abstract
    Mine sites are routinely required to rehabilitate their post-mining landforms with a safe, stable and sustainable land-cover. To assess these post-mining landforms, traditional on-ground field monitoring is generally undertaken. However, these labour intensive and time-consuming measurements are generally insufficient to catalogue land rehabilitation efforts across the large scales typical of mining sites (>100 ha). As an alternative, information derived from Unmanned Aerial Vehicles (UAV) can be used to map rehabilitation success and provide evidence of achieving rehabilitation site requirements across a range of scales. UAV based sensors have the capacity to collect information on rehabilitation sites with extensive spatial coverage in a repeatable, flexible and cost-effective manner. Here, we present an approach to automatically map indicators of safety, stability and sustainability of rehabilitation efforts, and demonstrate this framework across three coalmine sites. Using multi-spectral UAV imagery together with geographic object-based image analysis, an empirical classification system is proposed to convert these indicators into a status category based on a number of criteria related to land-cover, landform, erosion, and vegetation structure. For this study, these criteria include: mapping tall trees (Eucalyptus species); vegetation extent; senescent vegetation; extent of bare ground; and steep slopes. Converting these land-cover indicators into appropriate mapping categories on a polygon basis indicated the level of rehabilitation success and how these varied across sites and age of the rehabilitation activity. This work presents a framework and workflow for undertaking a UAV based assessment of safety, stability and sustainability of mine rehabilitation and also provides a set of recommendations for future rehabilitation assessment efforts.
    Citation
    Johansen K, Erskine PD, McCabe MF (2019) Using Unmanned Aerial Vehicles to assess the rehabilitation performance of open cut coal mines. Journal of Cleaner Production 209: 819–833. Available: http://dx.doi.org/10.1016/j.jclepro.2018.10.287.
    Sponsors
    We would like to thank Andrew Fletcher for help to develop this project and for collecting and processing UAV imagery. The Australian Coal Industry's Research Program (ACARP) monitors helped us develop site specific criteria and access sites and data. Funding to undertake this work was provided by ACARP through their support of Project C24031.
    Publisher
    Elsevier BV
    Journal
    Journal of Cleaner Production
    DOI
    10.1016/j.jclepro.2018.10.287
    Additional Links
    http://www.sciencedirect.com/science/article/pii/S0959652618333201
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.jclepro.2018.10.287
    Scopus Count
    Collections
    Articles; Biological and Environmental Science and Engineering (BESE) Division; Environmental Science and Engineering Program; Water Desalination and Reuse Research Center (WDRC)

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