Self-funded MRes opportunity Investigating remotely sensed imagery from UAVs to map hedgerows in an agricultural landscape.

This opportunity is now closed.

Subject: Geography, Environmental Studies and Archaeology

Summary

Hedgerows fulfil a variety of functions in agricultural landscapes such as protecting against soil erosion, acting as seed refuges and mitigating against the spread of pollutants (Baudry et al., 2000). Changes in European agricultural policies have led to a need for rapid and regular approaches for mapping landscape features. Traditional approaches for mapping landscape features have focussed on manual digitising which is time-consuming and expensive (Lotfi et al., 2010). While studies have shown potential for remote sensing to detect hedgerows, they are limited by low spatial resolution and discrepancies between dates of imagery (Vannier & Hubert-Moy, 2014). The use of Unmanned Aerial Vehicles (UAVs) for capturing very high spatial resolution imagery along with point cloud data is likely to lead to important developments in hedgerow mapping (Diaz-Varela et al., 2014).

Essential Criteria

  • Upper Second Class Honours (2:1) Degree from a UK institution (or overseas award deemed equivalent via UK NARIC)

Desirable Criteria

If the University receives a large number of applicants for the project, the following desirable criteria may be applied to shortlist applicants for interview.

  • First Class Honours (1st) Degree
  • Practice-based research experience and/or dissemination
  • Experience using research methods or other approaches relevant to the subject domain
  • Work experience relevant to the proposed project
  • Experience of presentation of research findings

Funding

This is a self-funded MRes opportunity.

Other information

The Doctoral College at Ulster University

Launch of the Doctoral College

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Key Dates

Submission Deadline
Friday 29 June 2018
Interview Date
mid July 2018

Contact Supervisor

Dr Paul McKenzie

Other Supervisors

Apply online

Visit https://www.ulster.ac.uk/applyonline and quote reference number #285725 when applying for this PhD opportunity