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, her research focuses on exploring novel methods for monitoring and measuring river environments at fine spatial scales. She uses small unmanned aerial systems (UAS) and structure-from-motion photogrammetry (SfM) for quantifying a range of physical habitat parameters within river systems. Her 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. She is also interested in the wider applicability of these methods in other settings, including within glaciology and engineering geomorphology.

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

Selected publications

  • 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