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PhD Studentship in ‘UAV thermal remote sensing for assessing river temperature’

Published Date

PhD Studentship in ‘UAV thermal remote sensing for assessing river temperature’

3.5 year studentship, jointly funded between The James Hutton Institute and Aberdeen University. Full funding available to UK/EU citizens.
Application deadline: Friday 25th May 2018

Project Description
This project will evaluate unmanned aerial vehicle (UAV or drone) thermal remote sensing for characterisation of river temperature. Temperature exerts a primary control on physical, chemical and biological processes within rivers and is a key variable in terms of understanding climate change and other human-induced impacts. Water temperature is usually measured through point-based observations, which can be applied over a range of scales. However, this is labour intensive, and is limited to discrete observations which may fail to capture effects of more localised processes (e.g. water abstraction, upwelling, point pollution). UAVs are increasingly being utilised to explore environmental processes, and enable flexible data capture at high spatial resolution. Low-cost, lightweight thermal cameras are now available for UAVs. Advances in spatial resolution (<10 cm pixel size) now makes them viable for investigating fine-scale processes. This project will explore the potential of thermal UAV remote sensing for quantifying fluctuations in river temperature under differing fluvial settings, to understand how this can complement existing measurement approaches. Significant challenges exist in terms of calibration and establishing the relationship between surface temperature and depth-variable processes. The project offers potential to improve calibration and validation of physically based temperature models for assessing future climate scenarios and assessing management options.

For further details please see the following link
and contact Dr Pauline Miller (This email address is being protected from spambots. You need JavaScript enabled to view it.) with covering letter and CV.


2011. Remote Sensing & Photogrammetry Society
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