| 
Contact:
Tel: +44 (0) 161 295 4038
Fax: +44 (0) 161 295 5015
Email: f.m.danson@salford.ac.uk |
Professor Mark Danson is Professor
of Environmental Remote Sensing, University of Salford and Associate Dean (Research) in the Faculty of Science, Engineering and Environment and Director of the BUHu Centre for Environmental Systems Research.
His research interests are in remote sensing of vegetation biophysical properties with an emphasis on forests, rangeland and agricultural crops. Current research being undertaken by Prof. Danson aims to develop new techniques for modelling the reflectance of vegetation canopies and in related work, the spatial modelling of landscape change. He is currently involved in funded research programmes working in China, Kazakhstan and in Europe.
He is a Member of the Remote Sensing and Photogrammetry Society.
Selected Publications:
Danson, F.M., Morsdorf, F, Koetz, B and Allgöwer, B., 2009, Airborne and terrestrial laser scanning for measuring vegetation canopy structure. In G.L. Heritage and A.R.G. Large, UNIGIKS Laser Scanning for the Environmental Sciences, Wiley-Blackwell.
Pleydell, D.R.J., Yang, Y.R., Danson, F.M., Raoul, F., Craig, P.S., McManus, D.P., Vuitton, D.A., Wang, Q. and Giraudoux, P., 2008, Landscape Composition and Spatial Prediction of Alveolar Echinococcosis in Southern Ningxia, China. PLOS Neglected Tropical Diseases, 2 (9), e287.
Danson, F.M., Armitage, R.P. and Marston, CG, 2008, Spatial and temporal modelling for parasite transmission studies and risk assessment. Parasite, 15(3): 463-468.
Danson, F.M., Giraudoux, P., Pleydell, D.R.J., and Craig, P.S et al, 2007, Landscape change, disease transmission and remote sensing in China, Journal of Remote Sensing, 11 (5), 728-731.
Danson, F.M., Hetherington, D., Morsdorf, F., Koetz, B and Allgöwer, B., 2007, Three-dimensional forest structure from terrestrial laser scanning, IEEE Geoscience and Remote Sensing Letters, 4, 157-160.
Chuvieco, E., Riaño, D., Danson, F.M. and Martin, P., 2006, Use of a radiative transfer model to simulate the spectral response to burn severity values. Journal of Geophysical Research – Biogeosciences, 111 (G4), G04S09.
Danson, F.M., Giraudoux, P., and Craig, P.S., 2006, Spatial modelling and ecology of Echinococcus multilocularis transmission in China. Parasitology International, 55, 227-231.
Yang, Y.R., Danson, F.M. and 20 other authors, 2006, Community surveys and risk factor analysis of human alveolar and cystic echinococcosis in Ningxia Hui Autonomous Region, China, Bulletin of The World Health Organization 84, 714-721.
Boyd, D.S. and Danson, F.M., 2005, Satellite remote sensing of forest resources: three decades of research development, Progress in Physical Geography, 29, 1-26.
Graham, A. and Danson, F.M., 2005, Remote sensing and landscape ecology: impacts on modelling disease transmission, Progress in Physical Geography, 29, 77-91.
Danson, F.M., Bowyer, P., Pleydell, D.R.J. and Craig, P.S., 2004, Echinococcus multilocularis: the role of satellite remote sensing, GIS and spatial modelling. South-East Asian Journal of Tropical Medicine and Health, 35, 189-193.
Danson, F.M. and Bowyer, P., 2004, Estimating live fuel moisture content from remotely sensed reflectance, Remote Sensing of Environment, 92, 309-321. |
