Skip to navigation Skip to content

Laura Poggio

Staff picture: Laura Poggio
Information and Computational Sciences
Information and Computational Sciences
Honorary Associate
laura.poggio@hutton.ac.uk
+44 (0)344 928 5428 (*)

The James Hutton Institute
Craigiebuckler
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.

Bibliography

  • 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.

  • Poggio, L.; Gimona, A.; Gagkas, Z.; Lilly, A. (2018) 3D digital soil mapping for Scottish soils using remote sensing., Internal Report for RESAS.
  • Gimona, A.; Baggio Compagnucci, A.; Hewitt, R.; Castellazzi, M.; Poggio, L. (2018) Simulating the effect of linear features on nutrient and sediment export at the catchment scale., Report.
  • Williamson, J.; Morton, D.; Artz, R.R.E.; Burden, A.; Rowland, C.; Tornero, L.; O’Neill, A.; Poggio, L.; Khomik, M.; Donnelly, D.; Evans, C.D. (2018) The role of earth observation in an integrated framework for assessing peatland habitat condition and its impact on greenhouse gas accounting., Final Report to Defra, Project number MI07.
  • Gimona, A.; Poggio, L.; Baggio Compagnucci, A.; Castellazzi, M. (2018) Unsupervised habitat classification using Sentinel 1 and 2 data and legacy habitat data: a pilot project., Report to Scottish Government, 11pp.
  • Poggio, L.; Baggio Compagnucci, A.; Gimona, A. (2017) Remote sensing data to support the Natural Asset Register: a report on methodology., Internal Research Report, James Hutton Institute.
  • 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.
  • 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.
  • Chapman, S.J.; Artz, R.R.E.; Poggio, L. (2015) Determination of organic carbon stocks in blanket peat soils in different condition - assessment of peat condition., Final Project Report to SEPA (TT1401).
  • Brooker, R.W.; Ahrends, A.; Bond, C.; Castellazzi, M.; Ellis, C.; Gimona, A.; Harding, A.; Kirkbride, V.; Poggio, L.; Rowan, J.; Wignall, R. (2014) Summary Report: Climate change risk-based assessment for notifiable features in Scotland., Summary Report for CXC, December 2014.
  • 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.
  • Brooker, R.W.; Ahrends, A.; Bailey, D.; Brewer, M.; Brown, I.; Castellazzi, M.; Gimona, A.; Ellis, C.; Harding, A.; Harrison, P.; Hopkins, C.; Moss, A.; Muir, M.; Poggio, L. (2014) Phase 1 Final Report: Climate change risk-based assessment for notifiable features in Scotland., Report produced for Scottish Natural Heritage.
  • Brooker, R.W.; Ahrends, A.; Bailey, D.; Brewer, M.; Brown, I.; Castellazzi, M.; Gimona, A.; Ellis, C.; Harding, A.; Harrison, P.; Hopkins, C.; Moss, A.; Muir, M.; Poggio, L. (2013) Climate change risk-based assessment for notifiable features in Scotland: interim report., Report delivered to SNH as part of the CXC activities.
  • Brown, I.; Dunn, S.M.; Matthews, K.B.; Poggio, L.; Sample, J.; Miller, D. (2012) The water supply/demand balance and climate change., Summary Report, Centre of Expertise for Water (CREW).
  • Brown, I.; Dunn, S.M.; Matthews, K.B.; Poggio, L.; Sample, J.; Miller, D. (2012) Mapping of water supply-demand deficits with climate change in Scotland: land use implications., Technical Report, Centre of Expertise for Water (CREW).
  • 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.
  • 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.

Printed from /staff/laura-poggio on 27/09/21 07:33:45 PM

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.