Skip to navigation Skip to content

Laura Poggio

Staff picture: Laura Poggio
Information and Computational Sciences
Information and Computational Sciences
Honorary Associate
+44 (0)344 928 5428 (*)

The James Hutton Institute
Aberdeen AB15 8QH
Scotland UK


Laura has a background in forestry and environmental sciences. Recent research interests included the analysis and evaluation of pan-European geographical datasets - digital elevation models (EuroDEM) and remote sensing images (Image2006) with investigation of data quality and error propagation. Previously she was involved in the organisation of a GIS system for collection of meta-data and information from soil survey and analytical determinations. Her PhD involved the development of a simplified land-use modelling method for the assessment of the risk of heavy metal polluted soil towards human health, and evaluating the influence of planning measures on this risk.

Current research interests

The major focus is the implications of soil and climate interactions for adaptation to climate change. I am working on the assessment of vulnerability of forest habitat networks to direct and indirect climate impacts, trade-offs between land uses, and on mapping spatio-temporal relationships between ground data and remote sensing-derived information.


  • Poggio, L.; Gimona, A.; Spezia, L.; Brewer, M. (2016) Example of bayesian uncertainty for digital soil mapping., In: Zhang, G.L., Brus, D., Liu, F., Song, X.D. and Lagacherie, P. (eds.). Digital Soil Mapping Across Paradigms, Scales and Boundaries. Springer Environmental Science and Engineering. Springer, Singapore, pp181-193.
  • Baggaley, N.J.; Poggio, L.; Gimona, A.; Lilly, A. (2016) Comparison of traditional and geostatistical methods to estimate and map the carbon content of Scottish soils., In: Zhang, G.L., Brus, D., Liu, F., Song, X.D. and Lagacherie, P. (eds.). Digital Soil Mapping Across Paradigms, Scales and Boundaries. Springer Environmental Science and Engineering. Springer, Singapore, pp103-111.
  • Brooker, R.; Eastwood, A.; Gimona, A.; Poggio, L.; Genney, D.; Ellis, C.; Brewer, M.I. (2016) Opportunities for translocating mountain species., In: Irvine, R.J. (ed.) Biodiversity and Upland Management. The James Hutton Institute, Craigiebuckler, Aberdeen, Chapter 11, pp24-25.
  • Gimona, A.; Baggio Compagnucci, A.; Poggio, L.; Castellazzi, M.; Brooker, R.; Pakeman, R.J. (2016) Modelling and mapping key ecosystem services., In: Brooker, R., Hester, A. & Pakeman, R.J. (eds.). Ecosystem Services. The James Hutton Institute, Craigiebuckler, Aberdeen, pp8-9.
  • Poggio, L.; Gimona, A.; Brown, I.; Castellazzi, M.; Aalders, I.H. (2013) Changes in land use capability and impacts on ecosystem functions., In: Hepperle, E., Dixon-Gough, R., Maliene, V., Mansberger, R., Paulsson, J. & Podor, A. (eds.). Land Management: Potential, Problems and Stumbling Blocks. VDF Hochschulverlag AG, Zurich, pp141-150.
  • Dawson, L.A.; Rhind, S.M.; Zhang, Z.L.; Poggio, L.; Kyle, C.E.; Mayes, R.W.; Aalders, I.H.; Osprey, M.; Ross, J.; Cuthbert, A. (2012) Linking distribution of soil PaHs to location as a forensic tool., In: Morrison, R.D. & O'Sullivan, G. (eds.). Environmental Forensics: Proceedings of the 2011 INEF Conference. Royal Society of Chemistry Publishing, Cambridge, pp199-205.
  • Brown, I.; Poggio, L.; Gimona, A.; Castellazzi, M.S. (2011) Land capability classification to plan for a changing climate., In: Toth, G. & Nemeth, T. (eds.). Land Quality and Land Use Information - in the European Union. EUR - Scientific and Technical Research Series, Publications Office of the European Union, Luxembourg, pp289-296. ISBN 978-92-79-17601-2
  • Poggio, L.; Soille, P. (2009) Land cover detection with unsupervised clustering and hierarchical partitioning., In: Locarek-Junge, H. & Weihs, C. (eds.). Classification as a Tool for Research, Proceedings 11th IFCS Biennial Conference & 33rd Annual Conference, Gesellschaft fur Klassifikation E.V., Dresden, 13-18 March 2009. Studies in Classification, Data Analysis, and Knowledge Organization, Springer, Berlin, pp455-462.

Printed from /staff/laura-poggio on 08/06/23 05:19:30 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.