Dr George Petropoulos

Lecturer in Remote Sensing and GIS
BSc (1999) in Natural Resources Development & Agricultural Engineering (Agricultural University of Athens)
MSc (2002) in Remote Sensing (University of London)
PhD (2008) in Earth Observation Modelling (Kings College London)
Photograph of Dr George Petropoulos.

Contact

Email: gep9@aber.ac.uk
Office: Llandinam Building, F5
Phone: +44 (0)1970 621861
Fax: +44 (0)1970 622659

Responsibilities

  • Scheme leader, MSc in Remote Sensing  & GIS
  • International Recruitment

Teaching Areas

Module coordinator for:

  • Analysis and Presentation of Quantitative Data (GG21710)
  • Work Experience In Geographical Information Systems/Remote Sensing (EAM2020)

 Contributes to:

  • Geography Fieldwork (GG22420)
  • Research Skills in Geography (GG20130)
  • Earth Observation by satellites (GG32020)
  • Geographical Information Systems (GG32820)
  • Research Skills in Physical Geography (GG20230)
  • Remote Sensing Issues (EAM2920)
  • Skills in Remote Sensing (EAM3620)
  • Spatial Information Technologies (EAM1720)
  • Fundamentals of Remote Sensing (EAM2810)
  • Vegetation Inventory and Remote Sensing (EAM3810)

Research

Group affiliation

  • Earth Observation Group

Research Interests

  • Use of Earth Observation (EO) data combined with advanced image processing algorithms for mapping land use/cover distribution and of its changes, occurred from either geo-hazards (mainly fires, floods) or anthropogenic activities (e.g. mining activity, deforestation).
  • Exploitation of EO data alone or synergistically with land surface process models (principally Soil Vegetation Transfer models) for computing key state variables of the Earth's energy and water budget, for characterising land surface interactions and their feedback processes.
  • Conducting benchmarking studies to algorithms applied to EO data and/or deterministic land surface process models, including the implementation of advanced sensitivity analysis techniques.

Biography

George P. Petropoulos completed his graduate studies (MSc, PhD) at the University of London in 2008, specialising in the coupling of remote sensing observations with simulations from land surface process models for deriving spatially distributed maps of parameters characterising tland surface energy balance. Then, he worked for 1,5 year as a postdoctoral fellow at the University of Bristol in the UK, focusing principally in the exploitation of remote sensing data in post-fire hazard assessment. Since then and until the end of 2011, George worked in Greece as a research fellow in different research and teaching establishments. His last position before joining IGES was a Postdoctoral Research Fellow of the European Space Agency (ESA). George has participated in various research projects funded by the European Commission, ESA and various other national and international funding bodies. He so far he has co-authored a number of articles published in peer-reviewed international journals, books and conferences.



Staff Publications

Peer Reviewed Book Chapters & Journal Articles

2012

  1. Petropoulos, G.P., C. C. Kontoes, and I. Keramitsoglou. 2012. An investigation of EO-1 Advanced Land Imager capability for land cover mapping with emphasis on Burnt Area Delineation . International Journal of Applied Earth Observation and Geoinformation, 18, 344-355.
  2. Elatawneh, A., C. Kalaitzidis, Petropoulos, G.P. and T. Schneider. 2012. Evaluation of diverse classification approaches for land use/cover mapping in a Mediterranean region utilizing Hyperion data . International Journal of Digital Earth, 1-23 DOI
  3. Petropoulos, G.P., K. P. Vadrevu and C. Kalaitzidis. 2012. Spectral Angle Mapper and Object-based classification combined with hyperspectral remote sneisng imagery for obtaining land use/cover mapping in a Mediterranean region. Geocarto International, pp 1-16, DOI
  4. Manevski, K., Manakos, I., Petropoulos, G.P., and C. Kalaitzidis. 2012. Spectral discrimination of Mediterranean maquis  and phrygana vegetation: results from a case study in Greece. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, [in press]
  5. Petropoulos G.P., and C. Kalaitzidis. 2012. Multispectral vegetation indices in remote sensing: an overview – book chapter. In “Ecological Modeling”, Chapter 2, 15-39, Nova publishers, USA, ISBN: 978-1-61324-567-5, [in press].
  6. Altatouri, A., Pediaditi, K., Petropoulos, G.P., Zianis, D. and N. Boretos. 2012. Development of a decision support system for the estimation of surface water pollution risk from olive mill waste discharges - book chapter. In “Ecological Modeling”, Chapter 3, 40-64, Novapublishers, USA, ISBN: 978-1-61324-567-5 [in press].
  7. Petropoulos, G.P., K. Arvanitis and N. Sigrimis. 2012. Hyperion hyperspectral imagery analysis combined with machine learning classifiers for Land Use/Cover Mapping . Expert Systems with Applications, 39, 3800-3809 DOI

2011

  1. Petropoulos, G.P., C. Kalaitzidis and K. P. Vadrevu (2011): Support Vector Machines and Object-Based Classification for Obtaining Land Use/Cover Cartography from Hyperion Hyperspectral Imagery. . Computers and Geosciences, 41, 99-107, DOI
  2. Petropoulos G., and T.N., Carlson (2011): Retrievals of turbulent heat fluxes and soil moisture content by Remote Sensing, pages 667-502, in “Advances in Environmental Remote Sensing: Sensors, Algorithms, and Applications”, Ed. Taylor and Francis, pp. 556, ISBN: 978-1-4200-9175-5.
  3. Manevski, K., I. Manakos, Petropoulos, G.P. and C. Kalaitzidis (2011): Discrimination of common Mediterranean plant species using field spectroradiometry . International Journal of Applied Earth Observation and Geoinformation, 13, 922-933, DOI
  4. Pediaditi, K., M. Stanojevic,  C. Kouskouna, M. Karydas, D. Zianis,  G. P. Petropoulos, N. Boretos (2011): A Decision Support System for assessing and managing environment risk cross borders . Earth Science Informatics, 4, 107-115, DOI
  5. Pediaditi, K., F., Buono, Petropoulos, G.P., C., Bogliotti,  E., Nurlu, G., Ladisa,  and F., Pompigna (2011). A Decision Support System-based Procedure for the Evaluation and Monitoring of Protected Areas Sustainability for the Mediterranean Region. . Earth Systems Science, 120 (5), 949-961.
  6. Knorr, W., I. Pytharoulis and G.P. Petropoulos (2011): Combined use of weather forecasting and satellite remote sensing information for fire risk, fire and fire impact monitoring. . Ecological Modelling and Software, 1 (2), 112-120.
  7. Petropoulos, G., C. Kontoes and I. Keramitsoglou (2011): Burnt Area Delineation from a uni-temporal perspective based on Landsat TM imagery classification using Support Vector Machines.   International Journal of Applied Earth Observation and Geoinformation, vol 13, pp. 70-80, DOI

2010

  1. Ganas, A., Lagios, E., Petropoulos, G., & B., Psiloglou (2010): Monitoring of Nissyros volcano (Aegean Sea) using ASTER data: Estimation of heat flux. International Journal of Remote Sensing 31 (15), 4033-4047, DOI
  2. Petropoulos, G., K.P. Vadrevu, G. Xanthopoulos, G., Karantounias and M. Scholze (2010): A Comparison of Spectral Angle Mapper and Artificial Neural Network Classifiers Combined with Landsat TM Imagery Analysis for Obtaining Burnt Area Mapping . Sensors, 10, 1967-1985, DOI
  3. Petropoulos, G., W. Knorr, M. Scholze, L. Boschetti and G., Karantounias (2010): Combining ASTER Multispectral Imagery Analysis and Support Vector Machines for Rapid and Cost-Effective Post-Fire Assessment: A case study from the Greek Fires of 2007 Natural Hazards and Earth Systems Science, 10, 305-317, DOI

2009

  1. Petropoulos, G., Wooster, M. J., M. Kennedy, Carlson, T.N., & M. Scholze (2009): A global sensitivity analysis study of the 1d SimSphere SVAT model using the GEM SA software . Ecological Modelling, 220 (19), 2427-2440, DOI
  2. Petropoulos, G., Carlson, T.N, Wooster, M. J. & S., Islam (2009): A Review of Ts/VI Remote Sensing Based Methods for the Retrieval of Land Surface Fluxes and Soil Surface Moisture Content. Advances in Physical Geography, 33 (2), 1-27.
  3. Petropoulos, G., Carlson, T.N. and M. J., Wooster (2009): An Overview of the Use of the SimSphere Soil Vegetation Atmosphere Transfer (SVAT) Model for the Study of Land-Atmosphere Interactions. Sensors, 2009, 9(6), 4286-4308, DOI