Geography and Environment


Dr Amy Woodget

Photo of Dr Amy Woodget

Doctoral Prize Fellow

Academic Career

2018 onwards: Doctoral Prize Fellow, Loughborough University
2017-2018: PG Cert Learning and Teaching in Higher Education, University of Worcester
2015-2018: Postdoctoral Researcher and Lecturer in Remote Sensing and River Science, University of Worcester
2011-2014: PhD, University of Worcester (runner-up of the Institution of Environmental Sciences John Rose Award for Science Communication)
2008-2011: Consultant Geomorphologist (GIS/Remote Sensing Specialist), Halcrow Group Ltd, Birmingham
2007-2008: MSc by research, Durham University (awarded Royal Geographical Society’s GIScience Thesis Prize)
2003-2006: BSc (Hons) Geography, Class I, Durham University

 Professional Responsibilities

2018-2019: Remote Sensing, Guest Editor
2016-2018: International Journal of Remote Sensing, Guest Editor
2016 onwards: RSPSoc UAV SIG chairperson
2016: Conference convenor, Small UAS for Environmental Research, University of Worcester
2013 onwards: STEM Ambassador
2013: Conference convenor, Remote Sensing from Small UAVs, University of Worcester
2012-2014: RSPSoc Wavelength Rep for Early Career Members

I am a physical geographer, with broad research interests in the environmental applications of remote sensing and GIS. In particular, my research focuses on exploring novel methods for monitoring and measuring river environments at fine spatial scales. I use small unmanned aerial systems (UAS) and structure-from-motion photogrammetry (SfM) for quantifying a range of physical habitat parameters within river systems. My aim is to investigate whether these emerging techniques hold value as a tool for robust, reliable, routine assessments of river habitat, especially in light of pressing global challenges such as climate change. I am also interested in the wider applicability of these methods in other settings, including within glaciology and engineering geomorphology.  

I have 7 years’ experience of teaching on Geography degree courses, particularly in the fields of GIS and remote sensing. I am a Fellow of the Higher Education Academy. Whilst at Loughborough, I am primarily focused on research but occasionally contribute guest lectures on the use of new technologies in river science and management.

  • Woodget, A.S., Fyffe, C.L. and Carbonneau, P.E. (2018) From manned to unmanned aircraft: Adapting airborne particle size mapping methodologies to the characteristics of sUAS & SfM. Earth Surface Processes and Landforms. DOI: 10.1002/esp.4285
  • Woodget, A.S. and Austrums, R. (2017) Subaerial gravel size measurement using topographic data derived from a UAV-SfM approach. Earth Surface Processes and Landforms 42 (9): 1434-1443 DOI: 10.1002/esp.4139
  • Woodget, A.S., Austrums, R., Maddock, I. and Habit, E. (2017) Drones & digital photogrammetry: From classifications to continuums for monitoring river habitat & hydromorphology. WIREs Water. DOI: 10.1002/wat2.1222
  • Woodget, A.S., Visser, F., Maddock, I. and Carbonneau, P. (2016) The accuracy and reliability of traditional surface flow type mapping: is it time for a new method of characterising physical river habitat? River Research and Applications 32 (9): 1902-1914, DOI: 10.1002/rra.3047
  • Woodget, A.S., Visser, F., Maddock, I. and Carbonneau, P. (2016) Quantifying fluvial substrate size using hyperspatial resolution UAS imagery and SfM-photogrammetry. Extended Abstract, 11th International Symposium on Ecohydraulics, Melbourne, Australia, 7-12 February
  • Woodget, A.S., Carbonneau, P.E., Visser, F. and Maddock, I. (2015) Quantifying submerged fluvial topography using hyperspatial resolution UAS imagery and structure from motion photogrammetry. Earth Surface Processes and Landforms 40: 47-64, DOI: 10.1002/esp.3613
  • Moore, R., Rogers, J., Woodget, A. and Baptiste, A. (2010) Climate change impact on cliff instability and erosion. Proceedings of the Environment Agency/DEFRA Flood & Coastal Management Conference, Telford
  • Woodget, A.S., Donoghue, D.N.M., and Carbonneau, P.E. (2007) An assessment of airborne LiDAR for forest growth studies. Ekscentar 10: 47-52