Dr Doreen S Boyd
Dr Doreen S Boyd
School of Geography, University of Nottingham
Verified email at - Homepage
Cited by
Cited by
Predictive relations of tropical forest biomass from Landsat TM data and their transferability between regions
GM Foody, DS Boyd, MEJ Cutler
Remote sensing of environment 85 (4), 463-474, 2003
Mapping the biomass of Bornean tropical rain forest from remotely sensed data
GM Foody, ME Cutler, J McMorrow, D Pelz, H Tangki, DS Boyd, I Douglas
Global Ecology and Biogeography 10 (4), 379-387, 2001
Satellite remote sensing of forest resources: three decades of research development
DS Boyd, FM Danson
Progress in Physical Geography 29 (1), 1-26, 2005
Training set size requirements for the classification of a specific class
GM Foody, A Mathur, C Sanchez-Hernandez, DS Boyd
Remote Sensing of Environment 104 (1), 1-14, 2006
Applications in remote sensing to forest ecology and management
AM Lechner, GM Foody, DS Boyd
One Earth 2 (5), 405-412, 2020
Size and frequency of natural forest disturbances and the Amazon forest carbon balance
FDB Espírito-Santo, M Gloor, M Keller, Y Malhi, S Saatchi, B Nelson, ...
Nature communications 5 (1), 1-6, 2014
Estimating tropical forest biomass with a combination of SAR image texture and Landsat TM data: An assessment of predictions between regions
MEJ Cutler, DS Boyd, GM Foody, A Vetrivel
ISPRS Journal of Photogrammetry and Remote Sensing 70, 66-77, 2012
An overview of recent remote sensing and GIS based research in ecological informatics
DS Boyd, GM Foody
Ecological Informatics 6 (1), 25-36, 2011
Satellite remote sensing to monitor species diversity: Potential and pitfalls
D Rocchini, DS Boyd, JB Féret, GM Foody, KS He, A Lausch, H Nagendra, ...
Remote Sensing in Ecology and Conservation 2 (1), 25-36, 2016
One-class classification for mapping a specific land-cover class: SVDD classification of fenland
C Sanchez-Hernandez, DS Boyd, GM Foody
IEEE Transactions on Geoscience and Remote Sensing 45 (4), 1061-1073, 2007
Detecting the effects of hydrocarbon pollution in the Amazon forest using hyperspectral satellite images
P Arellano, K Tansey, H Balzter, DS Boyd
Environmental Pollution 205, 225-239, 2015
Evaluation of approaches for forest cover estimation in the Pacific Northwest, USA, using remote sensing
DS Boyd, GM Foody, WJ Ripple
Applied Geography 22 (4), 375-392, 2002
Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission
L Duncanson, JR Kellner, J Armston, R Dubayah, DM Minor, S Hancock, ...
Remote Sensing of Environment 270, 112845, 2022
Identifying species from the air: UAVs and the very high resolution challenge for plant conservation
S Baena, J Moat, O Whaley, DS Boyd
PloS one 12 (11), e0188714, 2017
Assessing the accuracy of volunteered geographic information arising from multiple contributors to an internet based collaborative project
GM Foody, L See, S Fritz, M Van der Velde, C Perger, C Schill, DS Boyd
Transactions in GIS 17 (6), 847-860, 2013
The relationship between the biomass of Cameroonian tropical forests and radiation reflected in middle infrared wavelengths (3.0-5.0 mu m)
DS Boyd
International journal of remote sensing 20 (5), 1017-1023, 1999
An assessment of radiance in Landsat TM middle and thermal infrared wavebands for the detection of tropical forest regeneration
DS Boyd, GM Foody, PJ Curran, RM Lucas, M Honzak
International Journal of Remote Sensing 17 (2), 249-261, 1996
Supervised methods of image segmentation accuracy assessment in land cover mapping
H Costa, GM Foody, DS Boyd
Remote sensing of environment 205, 338-351, 2018
To advance sustainable stewardship, we must document not only biodiversity but geodiversity
F Schrodt, JJ Bailey, WD Kissling, KF Rijsdijk, AC Seijmonsbergen, ...
Proceedings of the National Academy of Sciences 116 (33), 16155-16158, 2019
Mapping complex urban land cover from spaceborne imagery: The influence of spatial resolution, spectral band set and classification approach
R Momeni, P Aplin, DS Boyd
Remote Sensing 8 (2), 88, 2016
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