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Matt Aitkenhead

Staff picture: Matt Aitkenhead
Information and Computational Sciences
Information and Computational Sciences
Soils Modeller
matt.aitkenhead@hutton.ac.uk
+44 (0)344 928 5428 (*)

The James Hutton Institute
Craigiebuckler
Aberdeen AB15 8QH
Scotland UK

 

Current research interests

I have a background in a wide range of soil and environmental topics, and in the modelling of complex environmental system. I have qualifications in a range of subjects, and have worked for several years in Aberdeen at the University and the James Hutton Institute. I have over 50 publications including refereed papers, conference proceedings, technical reports and popular articles. I also have expertise in soil modelling, land cover mapping, remote sensing interpretation, environmental modelling, soil formation, land use and land use change, artificial intelligence and computer programming. I have an intimate knowledge of the Scottish landscape, and of the data held at the James Hutton Institute which describes it.

A key aspect of my work is the development of novel modelling and classification methods and software packages that utilise spatial remote sensing and environmental data in a wide range of environmental applications. This includes the development, with other staff members, or mobile phone apps for environmental monitoring in real-time.

The 'Related Content' links at the side of the page will take you to projects that I am involved in.

Bibliography

  • Williams, D.; Aitkenhead, M.; Karley, A.J.; Graham, J.; Jones, H.G. (2018) Use of imaging technologies for high throughput phenotyping., In: Graham, J. & Brennan, R. (eds.). Raspberry: Breeding, Challenges and Advances. Springer International Publishing, Cham, Chapter 9, pp145-158.
  • Aitkenhead, M.J.; Donnelly, D.; Coull, M.C.; Gwatkin, R. (2016) Estimating soil properties with a mobile phone., In: Hartemink, A. & Minasny, B. (eds.). Digital Soil Morphometrics (Progress in Soil Science). Springer, Chapter 7, pp89-110.
  • Lilly, A.; Aitkenhead, M.J.; Black, H.I.J. (2014) Assessing carbon in Scottish soils using traditional and novel analytical approaches., In: Arrouays, D., McKenzie, N., Hempel, J., Richer de Forges, A.C. & McBratney, A. (eds.). GlobalSoilMap: Basis of the global spatial soil information system. Proceedings of the 1st GlobalSoilMap Conference, Orleans, France, 7-9 October 2013. CRC Press/Balkema, Leiden, pp287-290.
  • Aitkenhead, M.J.; Richards, M. (2005) The Ordersort algorithm., C++ User's Journal, September 2005, p6-12.
  • Aitkenhead, M.J.; Aalders, I.H. (2005) A framework for developing environmental models, In: MODSIM 2005 International Congress on Modelling and Simulation (eds. A. Zerger and R.M. Argent). Modelling and Simulation Society of Australia and New Zealand, December 2005, pp587-593.
  • Aitkenhead, M.J. (2005) Evolving an autonomous neural network., In: MODSIM 2005 International Congress on Modelling and Simulation (eds. A. Zerger and R.M. Argent). Modelling and Simulation Society of Australia and New Zealand, December 2005, pp587-593.

  • Evans, C.; Artz, R.R.E.; Moxley, J.; Smyth, M.A.; Taylor, E.; Archer, N.; Burden, A.; Williamson, J.; Donnelly, D.; Aitkenhead, M.; Thomson, A.; Buys, G.; Malcolm, H.; Wilson, D.; Renou-Wilson, F. (2019) Implementation of an emissions inventory for UK peatlands., Report to the UK Department for Business, Energy and Industrial Strategy. Centre for ecology and Hydrology, Bangor, 88pp.
  • Artz, R.R.E.; Donaldson-Selby, G.; Poggio, L.; Donnelly, D.; Aitkenhead, M.J. (2017) Comparison of remote sensing approaches for detection of peatland drainage in Scotland., Report for CxC website.
  • Taylor, E.; Smyth, M-A.; Artz, R.R.E.; Donnelly, D.; Aitkenhead, M.; Evans, C.; Moxley, J.; Archer, N.J. (2017) Activity data for drainage and rewetting of organic soils 1990-2013., Report to the UK Department for Business, Energy and Industrial Strategy (Work package 4 Project report, not for external publication), 37pp.
  • Aitkenhead, M.J. (2017) Linking peatland restoration project data to a model of peat depth and condition: Acquisition and integration of restoration project data with spatial covariates., Internal RESAS Report on Dataset Generation.
  • Taylor, E.; Smyth, M.A.; Artz, R.R.E.; Donnelly, D.; Aitkenhead, M.; Evans, C.; Moxley, J.; Archer, N. (2016) Activity data for drainage and rewetting of organic soils 1990-2013., Workpackage Report to the Department of Business, Energy & Industrial Strategy.
  • Aitkenhead, M.; Poggio, L.; Donaldson-Selby, G.; Gimona, A.; Artz, R.R.E. (2016) Detection of peatland drainage with remote sensing - a scoping study., Technical Report to CxC Directorate.
  • Hallett, P.; Hall, R.; Lilly, A.; Baggaley, N.; Crooks, B.; Ball, B.; Raffan, A.; Braun, H.; Russell, T.; Aitkenhead, M.J.; Riach, D.; Rowan, J.; Long, A. (2016) Effect of soil structure and field drainage on water quality and flood risk., CREW Report, CRW 2014_03, 34pp.
  • Aitkenhead, M.J.; Black, H.I.J.; Squire, G.; McLeod, K.; Hastings, E.; Troldborg, M.; Aalders, I.H.; Towers, W.; Lilly, A.; Brown, I.; Coull, M.C.; Castellazzi, M.; Matthews, K.B.; Baggaley, N.J. (2016) A review of ecosystem service mapping within Scottish Government RESAS-funded research., Report for Scottish Government.
  • Aitkenhead, M.; Campbell, G.; Coull, M.C. (2015) Using remote sensing to assess the condition of peat in drinking water catchments., CREW Report.
  • Aitkenhead, M.J.; Campbell, G.; Coull, M.C. (2015) Using remote sensing to assess the condition of peat in drinking water catchments., Report to Scottish Water.
  • Artz, R.R.E.; Donnelly, D.; Aitkenhead, M.; Balana, B.; Chapman, S. (2014) WISE Peatland Choices - A decision support tool for peatland restoration in Scotland., Version 2- September 2014, The James Hutton Institute, Aberdeen, 16pp.
  • Aitkenhead, M.J.; Black, H.I.J.; Squire, G.; McLeod, K.; Hastings, E.; Troldborg, M.; Aalders, I.; Towers, W.; Lilly, A.; Poggio, L.; Gimona, A.; Brown, I.; Castellazzi, M.; Matthews, K.B.; Baggaley, N.J. (2014) A review of ecosystem service mapping within Scottish Government RESAS funded research., Report for Scottish Government.
  • McKee, A.J.; Sutherland, L.A.; Lilly, A.; Aitkenhead, M.; Campbell, C. (2014) On-farm assessment of soil carbon status., Self-published Report for Quality Meat Scotland and research participants; to be published on JHI website.
  • Artz, R.R.E.; Donnelly, D.; Aitkenhead, M.; Balana, B.; Chapman, S.J. (2013) WISE peatland choices - a decision support tool for peatland restoration in Scotland., ClimateXChange Scotland, The James Hutton Institute, Aberdeen.
  • Aitkenhead, M.; Donnelly, D.; Coull, M.C. (2013) Innovations in aquatic monitoring., CREW Report to SEPA, CREW Project Number CD2013_04.
  • McVittie, A.; Norton, L.; Martin-Ortega, J.; Glenk, K.; Aitkenhead, M.; Aalders, I.H.; Hough, R.L.; Smart, S.; Edwards, F.; Kenyon, W.; Black, H.I.J.; Dunbar, M.; Maskell, L. (2012) Valuing the impacts of ecosystem service interactions for policy effectiveness., Valuing Nature Network. Final Project Report.
  • Aitkenhead, M.J.; Poggio, L.; Gimona, A.; Aalders, I.H. (2012) PROBA-V Evaluation of accuracy characteristics in heterogeneous zones., Report to Belgian Space Agency.
  • Aitkenhead, M.J.; Coull, M.C. (2012) Report on soil remediation decision support tool., External Contract Report and Software for REMEDIOS Ltd.
  • Brown, I.; Gimona, A.; Poggio, L.; Castellazzi, M.; Aitkenhead, M.; Brooker, R. (2011) Developing upland habitat inventories for Annex 1 and priority BAP habitats., Report to Scottish Natural Heritage.
  • Smith, P.; Smith, J.; Flyn, H.; Killham, K.; Rangel-Castro, I.; Foereid, B.; Aitkenhead, M.; Chapman, S.; Towers, W.; Bell, J.; Lumsdon, D.; Milne, R.; Thomson, A.; Simmons, I.; Skiba, U.; Reynolds, B.; Evans, C.; Frogbrook, Z.; Bradley, I.; Whitmore, A. (2007) ECOSSE - Estimating carbon in organic soils sequestration and emissions., Report to Scottish Executive Environment and Rural Affairs Department, Edinburgh, 177pp. ISBN 978 0 7559 1498 2.

Printed from /staff/matt-aitkenhead on 23/07/19 06:14:10 AM

The James Hutton Research Institute is the result of the merger in April 2011 of MLURI and SCRI. This merger formed a new powerhouse for research into food, land use, and climate change.