Self-funded MRes opportunity Investigating remotely sensed imagery from UAVs to map hedgerows in an agricultural landscape.
This opportunity is now closed.
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).
- Upper Second Class Honours (2:1) Degree or equivalent from a UK institution (or overseas award deemed to be equivalent via UK NARIC)
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
This is a self-funded MRes opportunity.
The Doctoral College at Ulster University
Launch of the Doctoral College
Current PhD researchers and an alumnus shared their experiences, career development and the social impact of their work at the launch of the Doctoral College at Ulster University.Watch Video