| 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 | 806 | 2003 |
| Satellite remote sensing of forest resources: three decades of research development DS Boyd, FM Danson Progress in Physical Geography 29 (1), 1-26, 2005 | 441 | 2005 |
| 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 | 432 | 2001 |
| 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 | 392 | 2006 |
| Applications in remote sensing to forest ecology and management AM Lechner, GM Foody, DS Boyd One Earth 2 (5), 405-412, 2020 | 383 | 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 | 264 | 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 | 249 | 2012 |
| 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 | 242 | 2022 |
| An overview of recent remote sensing and GIS based research in ecological informatics DS Boyd, GM Foody Ecological Informatics 6 (1), 25-36, 2011 | 229 | 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 | 219 | 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 | 200 | 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 | 193 | 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 | 187 | 2002 |
| 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 | 175 | 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 | 164 | 2013 |
| 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 | 162 | 2018 |
| 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 | 155 | 1999 |
| 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 | 151 | 2019 |
| 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 | 146 | 1996 |
| 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 | 142 | 2016 |
Giles FoodyUniversity of NottinghamVerified email at nottingham.ac.uk
