Stuart MacCallum, BSc (Hons), MSc, PhD

Spatial scientist

MacCallum Stuart staff profileEmail:

Tel: +44 (0)300 067 5709

Forest Research
Northern Research Station
Midlothian EH25 9SY

Twitter: @SN_MacCallum

ResearchGate: Stuart MacCallum

Linkedin: Stuart MacCallum

Stuart joined Forest Research in 2016, from a background of satellite-based Earth observation in academia and the commercial sector. An MSc in Remote Sensing and Image Processing began a fourteen year association with the University of Edinburgh, which included a PhD in remote sensing and work on a range of satellite Earth observation applications. Most recently, Stuart worked in industry, developing methods for flood and deforestation detection.

Current role

Spatial Scientist
In his current role, as part of the LUES Research Group, Stuart is contributing to the development and advancement of climate change impacts and ecosystem service provision. He provides support to a variety of projects, through knowledge and skills in: GIS data analysis, software development, modelling, image processing, and remote sensing.

Current projects

Land Use and Ecosystem Services

  • Developing methods of mapping trees, hedgerows, and urban greenspaces, for the WrEN project.
  • Estimating uncertainty of future drought risk for forest planning in Europe
  • Modelling climate change impacts on Dothistroma needle blight in the UK.
  • Supporting the advancement of models and tools for ecological site classification.
  • Developing data tools to support studies on Oak health, for the PuRpOsE project.

Forest Hydrology

  • Providing GIS and data analysis support for studies on forestry impacts on water quality

Other affiliations and responsibilities:

Member of the International Association for Landscape Ecology UK (IALE).

Main recent publications and knowledge exchange activities

Peer reviewed papers

  • E. Politi, S. MacCallum, M.E.J. Cutler, C.J. Merchant, J.S. Rowan & T.P. Dawson (2016). Selection of a network of large lakes and reservoirs suitable for global environmental change analysis using Earth Observation, International Journal of Remote Sensing, 37:13, 3042-3060.
  • Layden, A., MacCallum, S. N., & Merchant, C. J. (2016). Determining lake surface water temperatures worldwide using a tuned one-dimensional lake model (FLake, v1). Geoscientific Model Development, 9(6), 2167-2189.
  • Layden, A., Merchant, C., & MacCallum, S. (2015). Global climatology of surface water temperatures of large lakes by remote sensing. International Journal of Climatology, 35(15), 4464-4479.
  • Hook, S. R., Wilson, R. C., MacCallum, S. and Merchant, C. J. (2012) [Global climate] Lake surface temperature [in "State of the climate in 2011"]. Bulletin of the American Meteorological Society, 93 (7). S18-S19. ISSN 1520-0477.
  • MacCallum, S. N., & Merchant, C. J. (2012). Surface water temperature observations of large lakes by optimal estimation. Canadian Journal of Remote Sensing, 38(1), 25-45.


  • MacCallum, Stuart N; Merchant, Christopher J; Embury, Owen. (2014). ATSR Reprocessing for Climate: Sea Surface Temperature (ARC-SST) v1.1 - Global 1 Degree Monthly Average - Obs4MIPs, 1997-2011 [Dataset]. University of Edinburgh. School of GeoSciences.
  • MacCallum, S. N., and Merchant, C. J. (2013). ARC-Lake v2.0, 1991-2011 [Dataset]. University of Edinburgh, School of GeoSciences / European Space Agency,