Confirmation of Candidature - Candidate : Neville Madden
The Detection and Analysis of Irrigation Channel Leakage Using Imaging From an Unmanned Aerial Vehicle.
|Date:||06 November 2020|
|Time:||12:00 PM - 1:30 PM|
|Contact:||For more information, please contact the Graduate Research School.|
|Save to calendar:||Download|
At the site of an irrigation channel leak the vegetation will be lusher or greener than surrounding vegetation, with a higher Chlorophyll-a count. If the location of this leakage can be quickly identified by the use of remote sensing it helps management to implement timely repairs, prevent major channel failures and lower the time and money spent on damage restoration.