Library Portal | UWC Portal | National ETDs | Global ETDs
    • Login
    Contact Us | About Us | FAQs | Login
    View Item 
    •   DSpace Home
    • Faculty of Arts
    • Geography & Environmental Studies
    • Research Publications (Geography & Environmental Studies)
    • View Item
    •   DSpace Home
    • Faculty of Arts
    • Geography & Environmental Studies
    • Research Publications (Geography & Environmental Studies)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Application of drone technologies in surface water resources monitoring and assessment: A systematic review of progress, challenges, and opportunities in the global south

    Thumbnail
    View/Open
    drones-05-00084-v2.pdf (8.215Mb)
    Date
    2021
    Author
    Sibanda, Mbulisi
    Mutanga, Onisimo
    Chimonyo, Vimbayi G. P.
    Metadata
    Show full item record
    Abstract
    Accurate and timely information on surface water quality and quantity is critical for various applications, including irrigation agriculture. In-field water quality and quantity data from unmanned aerial vehicle systems (UAVs) could be useful in closing spatial data gaps through the generation of near-real-time, fine resolution, spatially explicit information required for water resources accounting. This study assessed the progress, opportunities, and challenges in mapping and modelling water quality and quantity using data from UAVs. To achieve this research objective, a systematic review was adopted. The results show modest progress in the utility of UAVs, especially in the global south. This could be attributed, in part, to high costs, a lack of relevant skills, and the regulations associated with drone procurement and operational costs. The progress is further compounded by a general lack of research focusing on UAV application in water resources monitoring and assessment. More importantly, the lack of robust and reliable water quantity and quality data needed to parameterise models remains challenging. However, there are opportunities to advance scientific inquiry for water quality and quantity accounting by integrating UAV data and machine learning.
    URI
    https://doi.org/10.3390/drones5030084
    http://hdl.handle.net/10566/6794
    Collections
    • Research Publications (Geography & Environmental Studies)

    DSpace 6.3 | Ubuntu | Copyright © University of the Western Cape
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     

    Browse

    All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    Login

    Statistics

    View Usage Statistics

    DSpace 6.3 | Ubuntu | Copyright © University of the Western Cape
    Contact Us | Send Feedback
    Theme by 
    Atmire NV