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Number of items: 8.

Stott, D. and Boyd, Doreen S. and Beck, A. and Cohn, A.G. (2015) Airborne LiDAR for the detection of archaeological vegetation marks using biomass as a proxy. Remote Sensing, 7 (2). pp. 1594-1618. ISSN 2072-4292

Boyd, Doreen S. and Foody, Giles M. (2011) An overview of recent remote sensing and GIS based research in ecological informatics. Ecological Informatics, 6 (1). pp. 25-36. ISSN 1574-9541

Arellano, P. and Tansey, K. and Balzter, H. and Boyd, Doreen S. (2015) Detecting the effects of hydrocarbon pollution in the Amazon forest using hyperspectral satellite images. Environmental Pollution, 205 . pp. 225-239. ISSN 0269-7491

Aplin, Paul and Boyd, Doreen S. (2015) Innovative technologies for terrestrial remote sensing. Remote Sensing, 7 (4). pp. 4968-4972. ISSN 2072-4292

Bailey, Joseph J. and Boyd, Doreen S. and Hjort, Jan and Lavers, Chris P. and Field, Richard (2017) Modelling native and alien vascular plant species richness: at which scales is geodiversity most relevant? Global Ecology and Biogeography . ISSN 1466-8238

Sanchez-Hernandez, Carolina and Boyd, Doreen S. and Foody, Giles M. (2007) One-class classification for monitoring a specific land cover class: SVDD classification of fenland. IEEE Transactions on Geoscience and Remote Sensing, 45 (4). pp. 1061-1073. ISSN 0196-2892

Espírito-Santo, Fernando D.B. and Gloor, Manuel and Keller, Michael and Malhi, Yadvinder and Saatchi, Sassan and Nelson, Bruce and Oliveira, Raimundo C., Junior and Pereira, Cleuton and Lloyd, Jon and Frolking, Steve and Palace, Michael and Shimabukuro, Yosio E. and Duarte, Valdete and Monteagudo Mendoza, Abel and López-González, Gabriela and Baker, Tim R. and Feldpausch, Ted R. and Brienen, Roel J.W. and Asner, Gregory P. and Boyd, Doreen S. and Phillips, Oliver L. (2014) Size and frequency of natural forest disturbances and the Amazon forest carbon balance. Nature Communications, 5 . e3434/1-e3434/6. ISSN 2041-1723

Costa, Hugo and Foody, Giles M. and Boyd, Doreen S. (2017) Using mixed objects in the training of object-based image classifications. Remote Sensing of Environment, 190 . pp. 188-197. ISSN 1879-0704

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