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Dr Paul Elsner

Lecturer in Geographical Information Science
Undergraduate Admissions Tutor

PhD (University of Cambridge)
MPhil in GIS and Remote Sensing (University of Cambridge)
Master of Marine Management (Dalhousie University)
First State Exam in Geography, German Language and Literature Studies (University of Hamburg)

Research interests

My general research interests cluster around the application geoinformation technologies for renewable energy potential assessment and environmental monitoring. This includes the use of unmanned aerial vehicles (UAV).

  • My general research interests cluster around the application geoinformation technologies for renewable energy potential assessment and environmental monitoring. This includes the use of unmanned aerial vehicles (UAV).

PhD/MPhil supervision

  • I am interested in supervising in the areas of:
  • Energy Geography
  • GIS-based renewable energy resource assessment
  • Unmanned Aerial Systems (UAS).
  • Spatial Decision Support Systems


Elsner, P. and Suarez, S. (2019) Renewable energy from the high seas: Geo-spatial modelling of resource potential and legal implications for developing offshore wind projects beyond the national jurisdiction of coastal States. Energy Policy 128: 919-929.

Elsner, P. (2019) Continental-scale assessment of the African offshore wind energy potential: Spatial analysis of an under-appreciated renewable energy resource. Renewable and Sustainable Energy Reviews 104: 394-407.

Suarez, S.V. and Elsner, P. (2019) Offshore renewable energy vs. high seas freedoms: The need for Marine Spatial Planning in areas beyond national jurisdiction. Presented at 10th Advisory Board on the Law of the Sea (ABLOS X) conference: OPPORTUNITIES AND CHALLENGES IN THE GOVERNANCE OF THE PLANET OCEAN, October 8 - 9, 2019, International Hydrographic Organization (IHO), Monaco.

Elsner, Paul (2019) Using the second-mover advantage: How Asia could leverage a decade of European offshore wind developments. In: Asia Clean Energy Forum (ACEF) 2019: PARTNERING FOR IMPACT, 17–21 June 2019, Asian Development Bank, Manila (Philippines)

Elsner, Paul and Suarez, S.V. (2019) Offshore wind on the high seas: resource potential and legal implications for developing projects beyond the national jurisdiction of coastal States. In: Global Offshore Wind 2019, June 25-26, 2019, London. (Poster Presentation)

Elsner, P., Dornbusch, U., Thomas, I., Amos, D., Bovington, J, and Horn, D. 2018. Coincident beach surveys using UAS, vehicle mounted and airborne laser scanner: point cloud inter-comparison and effects of surface type heterogeneity on elevation accuracies. Remote Sensing of Environment 208: 15-26.

Esch, T. Bay-Hasager, C., Elsner, P., Deutscher, J. , Hirschmugl, M., Metz, A., Roth, A. 2016. Support of wind resource modeling using Earth observation – A European perspective on the status and future options. 37pp. In: Weng, Q. (Ed): Remote Sensing for Sustainability. CRC Press/Taylor & Francis. ISBN: 978-1-49-870071-9.

Ryan, C. and Elsner, P. 2016. The potential for sand dams to increase the adaptive capacity of East African drylands to climate change. Regional Environmental Change. DOI 10.1007/s10113-016-0938-y (

Elsner, P. Horn, D., Dornbusch, U. Thomas, I., Amos, D. Bovington, J. 2016. Comparative beach surveys using an unmanned aerial system, ground-based GPS, terrestrial laser scanning, and airborne laser scanning. Poster presented at the Association of American Geographers Annual Meeting in San Francisco, March 29 - April 2, 2016.

Elsner, P. 2015. Coastal monitoring with aerial robotics – UAV performance compared to airborne and terrestrial laser scanning. Presentation at the Commercial UAV Conference London,  21st October 2015.

Elsner, P. 2015. The coming of age of China’s offshore wind energy: Opportunities for the maritime sector. Invited presentation for the Public Seminar on “Emerging opportunities for Shipping: Deep Sea  Mining & Offshore Wind Energy” at the IMC Frank Tsao Maritime Library and Research & Development Centre (IMCC), Department of Logistics and Maritime Studies, Hong Kong Polytechnic University, 21 August 2015.

Elsner, P., Horn, D., Dornbusch, U., Thomas, I., and Amos, D. 2015. Monitoring Mixed Sand and Gravel Beaches Using Unmanned Aerial Systems. Proceedings of COASTAL SEDIMENTS 2015, May 11-15, 2015. San Diego, California.

Valero, J.A., Lizarazo, I.A., Elsner, P. 2014. Topological challenges in multispectral image segmentation. Tecnura 18: 136–149. DOI 10.14483/udistrital.jour.tecnura.2014.DSE1.a12

Elsner, P. Spencer, T., Moeller, I. and Smith, G.M. 2012. Multitemporal Remote Sensing of Coastal Sediment Dynamics. In: Ni-Bin Chang (Ed.) Environmental Remote Sensing and Systems Analysis. Taylor & Francis Group/CRC Press. Boca Raton (Florida). Page 109-122. ISBN 9781439877456.

Elsner, P. 2011. Linking Field and Imaging Spectroscopy for Monitoring Intertidal Sedimentation Dynamics. Presentation . Presentation at the EARSeL 7th SIG-Imaging Spectroscopy Workshop.

Elsner, P. 2011. Desertec Global Grid Feasibility Study. Intermediate Report for the DESERTEC Foundation. Grant contract no. 3105. Institute of Environment, Birkbeck College, University of London.

Lizarazo, I. and Elsner, P. 2011. Segmentation of Remotely Sensed Imagery: Moving from Sharp Objects to Fuzzy Regions, Image Segmentation, Pei-Gee Ho (Ed.), ISBN: 978-953-307-228-9, InTech, 16 pp.

Elsner, P. 2009. Multi-temporal Airborne Remote Sensing of Intertidal Sediment Dynamics. Proceedings of the SPIE Europe Remote Sensing, 31 August–3 September 2009, Berlin (Germany). Proc. SPIE, Vol. 7478, 74781R (2009); DOI:10.1117/12.830672; 8 pp.

Lizarazo, I. and Elsner, P. 2009. Fuzzy segmentation for geographic object-based image analysis. Proceedings of the SPIE Europe Remote Sensing, 31 August–3 September 2009, Berlin (Germany). Proc. SPIE, Vol. 7478, 74781M (2009); DOI:10.1117/12.830477; 12pp.

Lizarazo, I. and Elsner, P. 2009. Improving Urban Land Cover Classification using Fuzzy Image Segmentation. In: M.L. Gavrilova and C.J.K. Tan (Eds.): Trans. on Comput. Sci. VI, LNCS 5730, pp. 41–56; DOI: 10.1007/978-3-642-10649-1_3.

Lizarazo, I. and Elsner, P., 2009. Fuzzy segmentation for object-based image classification. International Journal of Remote Sensing 30 (6): 1643-1649.

Lizarazo, I. and Elsner, P. 2008. Fuzzy Regions for Handling Uncertainty in Remote Sensing Image Segmentation. Lecture Notes in Computer Science, Volume 5072/2008, Computational Science and Its Applications – ICCSA 2008: 724-739, DOI 10.1007/978-3-540-69839-5,

Lizarazo, I. and Elsner, P. 2008. From Pixels to Grixels: A Unified Functional Model for Geographic-Object-Based Image Analysis. In: 2008, G.J .Hay, T. Blaschke and D. Marceau (Eds). GEOBIA 2008 – Pixels, Objects, Intelligence. GEOgraphic Object Based Image Analysis for the 21st Century. University of Calgary, Calgary Alberta, Canada, August 05-08. ISPRS Vol. No. XXXVIII-4/C1. Archives ISSN No.: 1682-1777. 373p.

Elsner, P. and Bonnici, M. 2007. Vertical accuracy of Shuttle Radar Topography Mission (SRTM) elevation and void-filled data in the Libyan Desert. International Journal of Ecology & Development 8(7): 66-80.

Elsner, P. 2005. GIS teaching via distance learning experiences and lessons learned. Planet (14): 28:30. GEES Subject Centre, The Higher Education Academy, UK.

Elsner, P.H., G.M. Smith, I. Möller and T. Spencer 2003. 'Airborne Imaging Spectroscopy - A Novel Approach for Monitoring Intertidal Sediment Dynamics', Proceedings of Coastal Sediments '03 May 18-23, St. Petersburg/Florida.

Contact details

+ 44 (0)20 3073 8449