|From||Roger Brugge <email@example.com>|
|Date||Tue, 14 Jan 2020 11:48:34 +0000|
Project Description: This interdisciplinary project will address objectives, using techniques from ecology, remote sensing and socio-economics:
1)Systematic review of literature and use of expert interview, to identify a set of optimal, measurable and ecologically justified vegetation structure and composition proxies for key biodiversity outcomes.
2)Assessment of remote sensing technologies, including terrestrial and mobile laser scanning, drone imaging and satellite data, for retrieval of priority proxies at whole-farm scales.
3) Cost: benefit analysis of technologies in terms of operational deployment within agri-environment schemes, including consideration of optimal modes of deployment and communication of results and uncertainties.
The student would be based in the Modelling, Evidence and Policy research group, giving access to a range of both low-cost and state-of-the-art sensing systems, including ground-based laser scanners and drone sensors. Training in drone operation will be provided. Skills will be developed in a variety of data processing methods (e.g. image processing, programming). Depending on student background, the student will also receive training in ecological methods and in socio-economic analysis and will engage closely with the socio-economics team at Fera, York, UK.
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