Doreen Boyd

Contact

• workRoom c10 Sir Clive Granger
• work0115 95 14182
• doreen.boyd@nottingham.ac.uk

Biography

I am currently Professor of Earth Observation and Associate Director of the Rights Lab, leading the Lab's Measurement and Geographies Programme (https://www.nottingham.ac.uk/research/beacons-of-excellence/rights-lab/programmes/index.aspx).

I received a BSc (Hons) degree in Geography from the University of Wales, Swansea in 1992, followed this immediately with my teacher training (PGCE (Wales)) and my PhD (University of Southampton) in 1996. I gained my PGCert in Teaching and Learning in HE in 2002. I have held Lectureships at Manchester, Kingston, and Bournemouth Universities, UK and between 2004 and 2006, I held the position of Senior Research Leader in Research and Innovation at Ordnance Survey, GB. In 2007 I joined the University of Nottingham as Associate Professor and have subsequently (in 2013) been promoted to Reader and then Professor (in 2019). For over half my career I have worked part-time.

My main research interest is in using cutting-edge geospatial data science on standard and novel data streams. The principal data stream is that captured by remote sensing systems, including terrestrial-based, unoccupied and occupied aerial systems, and satellites carrying both passive and active sensors. These data have been applied to the full range of United Nations Sustainable Development Goals and since arriving in Nottingham has attracted over £10 million in research funding (£4 million as Principal Investigator) from governments, learned societies and research councils in the UK and Europe, as well as from international space agencies. Other highlights include:

• Supervising over 35 research students to completion.
• Serving on UK Natural Environment Research Council (NERC) Airborne Research and Survey Facility (ARSF) Steering Committee, the EUFAR Scientific and Transnational Access Steering Panel.
• Serving on the and the Editorial Boards of the Journal of Maps; Remote Sensing for Ecology and Conservation; Ecological Informatics; Sensors; International Journal of Applied Earth Observation and Geoinformation and Scientific Reports.
• Discovering the World's tallest tropical tree.
• Winning the Group on Earth Observations (GEO) 'Earth Observations for the SDGs' (EO4SD) award. This award from a partnership of more than 100 national governments is for "those making an impact on the 17 global goals."

Selected Publications

• ESPÍRITO-SANTO, F.D.B. and ET AL., 2014. Size and frequency of natural forest disturbances and the Amazon forest carbon balance Nature Communications. 5:4434
• ARELLANO, P., TANSEY, K., BALTZER, H. and BOYD, D.S., 2015. Detection of hydrocarbon pollution in the Amazon by hyperspectral imagery Environmental Pollution. 205, 225-239
• BAENA, S., BOYD, D.S., SMITH, P., MOAT, J. and FOODY, G.M., 2016. Earth observation archives for plant conservation: 50 years monitoring of Itigi-Sumbu thicket Remote Sensing for Ecology and Conservation. 2, 2
• COSTA, H., FOODY, G.M. and BOYD, D.S., 2017. Using mixed objects in the training of object-based image classifications Remote Sensing of Environment. 190, 199-197

• View all publications

• COSTA, H, FOODY, GM and BOYD DS, 2018. Supervised methods of image segmentation accuracy assessment in land cover mapping Remote Sensing of Environment. 205, 338-351
• COSTA, H., FOODY, G.M. and BOYD, D.S., 2017. Using mixed objects in the training of object-based image classifications Remote Sensing of Environment. 190, 199-197
• BAILEY J.J., BOYD, D.S., HJORT, J., LAVERS, C. and FIELD R., 2017. Modelling native and alien vascular plant species richness: at which scales is geodiversity most relevant? Global Ecology and Biogeography. 763-776.
• ARELLANO, P., TANSEY, K., BALTZER, H. and BOYD, D.S., 2017. Field spectroscopy and radiative transfer modelling to assess impacts of petroleum pollution on biophysical and biochemical parameters of the Amazon rainforest Environmental Earth Sciences. 76, 1-14
• BAENA, S, BOYD, DOREEN S and MOAT, J, 2017. UAVs in pursuit of plant conservation-Real world experiences Ecological Informatics. (In Press.)
• BAENA, S, MOAT, J, WHALEY, O and BOYD DS, 2017. Identifying species from the air: UAVs and the very high resolution challenge for plant conservation PLOS ONE. 12(11): e0188714.,
• ROCCHINI, D., BOYD, D.S., FERET, J-B., FOODY, G.M., HE, K.S., LAUSCH, A., NAGENDRA, H., WEGMANN, M. and PETTORELLI, N., 2016. Satellite remote sensing to monitor species diversity: potential and pitfalls Remote Sensing for Ecology and Conservation. 2(2), 95-106
• MOMENI, R.,, APLIN, P., and BOYD, D.S., 2016. Mapping complex urban land cover from spaceborne imagery: the influence of spatial resolution, spectral band set and classification approach Remote Sensing. 8
• BAENA, S., BOYD, D.S., SMITH, P., MOAT, J. and FOODY, G.M., 2016. Earth observation archives for plant conservation: 50 years monitoring of Itigi-Sumbu thicket Remote Sensing for Ecology and Conservation. 2, 2
• FOODY, G.M., SEE, L., FRITZ, S., VAN DER VELDE, M., PERGER, C., SCHILL, C., BOYD, D.S. and COMBER, A., 2015. Accurate attribute mapping from Volunteered Geographic Information: Issues of volunteer quantity and quality The Cartographic Journal. 52(4), 336-344
• STOTT, D., BOYD, D.S., 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), 1594-1618
• COSTA, H., FOODY, G.M. and BOYD, D.S., 2015. Integrating user needs on misclassification error sensitivity into image segmentation quality assessment Photogrammetric Engineering & Remote Sensing. 81(6), 451-459
• ARELLANO, P., TANSEY, K., BALTZER, H. and BOYD, D.S., 2015. Detection of hydrocarbon pollution in the Amazon by hyperspectral imagery Environmental Pollution. 205, 225-239
• APLIN, PAUL and BOYD, D.S., 2015. Innovative Technologies for Terrestrial Remote Sensing REMOTE SENSING. 7(4), 4968-4972
• RAWLINS, B.G., CLARK, L. and BOYD, D.S., 2014. Using air photos to parameterise landscape predictors of channel wetted width Earth Surface Processes and Landforms. 39, 605-613
• ESPÍRITO-SANTO, F.D.B. and ET AL., 2014. Size and frequency of natural forest disturbances and the Amazon forest carbon balance Nature Communications. 5:4434
• BLACKBURN G.A., ABD LATIF Z. and BOYD D.S., 2014. Forest disturbance and regeneration: a mosaic of discrete gap dynamics and open matrix regimes? Journal of Vegetation Science. 25, 1341-1354
• BOYD, D.S. and FOODY, G.M., 2014. Spotlight on... Volunteered geographic information Geography. 99(3), 157-160
• BOYD, D.S., HILL. R.A., HOPKINSON, C. and BAKER, T.R., 2013. Landscape-scale forest disturbance regimes in southern Peruvian Amazonia Ecological Applications. 23(7), 1588-1602
• MORRIS, D.E., BOYD, D.S., CROWE, J.A., JOHNSON, C. and SMITH, K., 2013. Exploring the potential for automatic extraction of vegetation phenological metrics from traffic webcams. Remote Sensing. 5, 2200-2218
• FOODY G.M. and BOYD D.S., 2013. Using volunteered data in Land Cover map validation. IEEE Journal of Selected Topics in Remote Sensing. 6(3), 1305-1312
• FOODY, G.M., SEE, L., FRITZ, S., VAN DER VELDE, M., PERGER, C., SCHILL, C. and BOYD, D.S., 2013. Assessing the accuracy of volunteered geographic information arising from multiple contributors to an internet based collaborative project. Transactions in GIS. 17, 847-860
• BOYD, D.S, ALMOND, S.A, DASH, J, CURRAN, P.J and HILL, R.A. AND FOODY, G.M., 2012. Estimating terrestrial Gross Primary Productivity with the Envisat Medium Resolution Imaging Spectrometer (MERIS) Terrestrial Chlorophyll Index (MTCI) IEEE Geoscience and Remote Sensing Letters. 9(3), 457-461
• CUTLER, M.E.J., BOYD, D.S., FOODY, G.M. and VETRIVEL, A., 2012. Estimating tropical forest biomass with a combination of SAR texture and Landsat TM data: an assessment of predictions between regions ISPRS Journal of Photogrammetry and Remote Sensing. 70, 66-77
• BOYD, D.S., ALMOND, S., DASH, J., CURRAN, P.J. and HILL, R.A., 2011. Phenology of vegetation in Southern England from Envisat MERIS terrestrial chlorophyll index (MTCI) data International Journal of Remote Sensing. 32(23), 8421-8447
• HILL, R.A., BOYD, D.S. and HOPKINSON, C., 2011. Relationship between canopy height and Landsat ETM+ response in lowland Amazonian Rainforest Remote Sensing Letters. 2(3), 203 — 212
• BOYD DS AND FOODY GM, 2011. An overview of recent remote sensing and GIS based research in ecological informatics Ecological Informatics. 6, 25-36
• BOYD DS, 2009. Remote sensing in physical geography: a twenty-first-century perspective Progress in Physical Geography. 33(4), 451-456
• SANCHEZ-HERNANDEZ, C., BOYD, D.S. and FOODY, G.M., 2007. One-class classification for mapping a specific land cover class: SVDD classification of fenland IEEE Transactions on Geoscience and Remote Sensing. 45(4), 1061-1073
• FOODY, G.M and BOYD, D.S. AND SANCHEZ-HERNANDEZ, C., 2007. Mapping a specific class with an ensemble of classifiers International Journal of Remote Sensing. 28, 1733-1746
• SANCHEZ-HERNENDEZ, C., BOYD, D.S. and FOODY, G.M., 2007. Mapping specific habitats from remotely sensed imagery: Support vector machine and support vector data description based classification of coastal saltmarsh habitats Ecological Informatics. 2(83-88),
• BOYD, D.S., ALMOND, S., DASH, J. and CURRAN, P.J., 2007. Investigating the factors affecting the relationship between the Envisat Meris Terrestrial Chlorophyll Index and chlorophyll content: preliminary findings In: Challenges for Earth Observation: Scientific, Technical and Commercial.. 5pp
• ALMOND, S, BOYD, D.S., CURRAN, P.J. and DASH, J., 2007. The response of UK vegetation to elevated temperatures in 2006: Coupling Envisat MERIS Terrestrial Chlorophyll Index (MTCI) and mean air temperature In: Challenges for Earth Observation: Scientific, Technical and Commercia. 5pp
• BOYD, D.S. and HILL, R.A., 2007. VALIDATION OF AIRBORNE LIDAR INTENSITY VALUES FROM A FORESTED In: ISPRS Workshop on Laser Scanning 2007 and SilviLaser 2007. 71-76
• FOODY, G. M., MATHUR, A., SANCHEZ-HERNANDEZ, C. and BOYD, D. S., 2006. Training set size requirements for the classification of a specific class Remote Sensing of Environment. 104(1), 1-14
• BOYD, D. S., FOODY, G. M. and PHIPPS, P. C., 2006. Dynamics of ENSO drought events on Sabah rainforests observed by NOAA AVHRR International Journal of Remote Sensing. 27(11), 2197-2219
• BOYD, D.S., ENTWISTLE, J.A., FLOWERS, A.G., ARMITAGE, R.P. and GOLDSMITH, P.C., 2006. Remote sensing the radionuclide contaminated Belarusian landscape: A potential for imaging spectrometry? International Journal of Remote Sensing. 27(10), 1865-1874
• BOYD, D.S . SANCHEZ-HERNANDEZ, C. AND FOODY, G.M., 2006. Mapping a specific class for priority habitats monitoring from satellite sensor data INTERNATIONAL JOURNAL OF REMOTE SENSING. VOL 27(NUMB 13), 2631-2644
• FOODY, G. M., MATHUR, A., SANCHEZ-HERNANDEZ, C. and BOYD, D. S., 2006. Issues in training SVM classifications (Invited Paper) [6365-19] PROCEEDINGS- SPIE THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING. VOL 6365, 63650Q
• HOLLAND, D.H., BOYD, D.S and MARSHALL, P., 2006. Updating topographic mapping in Great Britain using imagery from high-resolution satellite sensors ISPRS Journal of Photogrammetry and Remote Sensing. 60, 212-223
• FOODY, G. M., MATHUR, A., SANCHEZ-HERNANDEZ, C. and BOYD, D. S., 2005. Issues in training SVM classifications (Invited Paper) [6365-19] PROCEEDINGS- SPIE THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING. VOL 6365, 63650Q
• FOODY, G. M., BOYD, D. S. and CUTLER, M. E., 2003. Predictive relations of tropical forest biomass from Landsat TM data and their transferability between regions Remote Sensing of Environment. 85(4), 463-474
• BOYD, D. S., PHIPPS, P. C. and FOODY, G. M., 2003. Spatio-Temporal Response of Extreme Events on Bornean Rainforests INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM. VOL 4, IV: 2547 - 2549