Dr Paul Elsner
Lecturer in Geographical Information Science and Physical Geography
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)
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).
I am interested in supervising in the areas of:
Unmanned Aerial Systems (UAS) as novel research platform for environmental research.
Aquatic remote sensing and field spectroscopy
Spatial Decision Support Systems
Esch, T. Bay-Hasager, C., Elsner, P., Deutscher, J. , Hirschmugl, M., Metz, A., Roth, A. 2016 (accepted and forthcoming 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 (https://link.springer.com/article/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 http://revistas.udistrital.edu.co/ojs/index.php/Tecnura/article/viewFile/9250/10499
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. http://www.earsel2011.com/content/download/Proceedings/S16_4_Elsner_pres.pdf
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. http://www.intechopen.com/books/image-segmentation/segmentation-of-remotely-sensed-imagery-moving-from-sharp-objects-to-fuzzy-regions
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.