Professor Mark Danson

Professor Mark Danson

Unit Tutor
University of Salford

Contact Details:

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.

 

His research interests are in mapping, modelling and understanding environmental change, specifically the effects of climate change and human activity on the biosphere. His focus is on the application of Earth Observation satellite data, airborne remote sensing imagery, and ground-based instruments, to monitor change in forest ecosystems. He recently developed one of world’s first dual-channel full-waveform terrestrial laser scanner that is now being used to record some of the most accurate three-dimensional structural measurements of vegetation canopies ever made. Professor Danson was a Royal Society Leverhulme Trust Senior Research Fellow 2013-14.

 

 

 

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.