| Status of land cover classification accuracy assessment GM Foody Remote sensing of environment 80 (1), 185-201, 2002 | 5072 | 2002 |
| Good practices for estimating area and assessing accuracy of land change P Olofsson, GM Foody, M Herold, SV Stehman, CE Woodcock, MA Wulder Remote sensing of Environment 148, 42-57, 2014 | 2015 | 2014 |
| A relative evaluation of multiclass image classification by support vector machines GM Foody, A Mathur IEEE Transactions on geoscience and remote sensing 42 (6), 1335-1343, 2004 | 1273 | 2004 |
| Thematic map comparison: Evaluating the statistical significance of differences in classification accuracy GM Foody Photogrammetric engineering and remote sensing 70 (5), 627-634, 2004 | 1226 | 2004 |
| Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation P Olofsson, GM Foody, SV Stehman, CE Woodcock Remote Sensing of Environment 129, 122-131, 2013 | 882 | 2013 |
| Feature selection for classification of hyperspectral data by SVM M Pal, GM Foody IEEE Transactions on Geoscience and Remote Sensing 48 (5), 2297-2307, 2010 | 858 | 2010 |
| 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 | 745 | 2003 |
| Approaches for the production and evaluation of fuzzy land cover classifications from remotely-sensed data GM Foody International Journal of Remote Sensing 17 (7), 1317-1340, 1996 | 712 | 1996 |
| Toward intelligent training of supervised image classifications: directing training data acquisition for SVM classification GM Foody, A Mathur Remote Sensing of Environment 93 (1-2), 107-117, 2004 | 689 | 2004 |
| Derivation and applications of probabilistic measures of class membership from the maximum-likelihood classification GM Foody, NA Campbell, NM Trodd, TF Wood Photogrammetric engineering and remote sensing 58 (9), 1335-1341, 1992 | 527 | 1992 |
| The use of small training sets containing mixed pixels for accurate hard image classification: Training on mixed spectral responses for classification by a SVM GM Foody, A Mathur Remote sensing of environment 103 (2), 179-189, 2006 | 519 | 2006 |
| Sub-pixel land cover composition estimation using a linear mixture model and fuzzy membership functions GM Foody, DP Cox International Journal of Remote Sensing 15 (3), 619-631, 1994 | 496 | 1994 |
| Measuring and modelling biodiversity from space TW Gillespie, GM Foody, D Rocchini, AP Giorgi, S Saatchi Progress in physical geography 32 (2), 203-221, 2008 | 462 | 2008 |
| On the compensation for chance agreement in image classification accuracy assessment GM Foody Photogrammetric Engineering and Remote Sensing 58, 1459-1460, 1992 | 456 | 1992 |
| Global land cover validation: Recommendations for evaluation and accuracy assessment of global land cover maps AH Strahler, L Boschetti, GM Foody, MA Friedl, MC Hansen, M Herold, ... European Communities, Luxembourg 51 (4), 1-60, 2006 | 410 | 2006 |
| Mapping the biomass of Bornean tropical rain forest from remotely sensed data GM Foody, ME Cutler, J McMorrow, D Pelz, H Tangki, DS Boyd, ... Global Ecology and Biogeography 10 (4), 379-387, 2001 | 389 | 2001 |
| Harshness in image classification accuracy assessment GM Foody International Journal of Remote Sensing 29 (11), 3137-3158, 2008 | 385 | 2008 |
| Multiclass and binary SVM classification: Implications for training and classification users A Mathur, GM Foody IEEE Geoscience and remote sensing letters 5 (2), 241-245, 2008 | 380 | 2008 |
| Geographical weighting as a further refinement to regression modelling: An example focused on the NDVI–rainfall relationship GM Foody Remote sensing of Environment 88 (3), 283-293, 2003 | 373 | 2003 |
| An evaluation of some factors affecting the accuracy of classification by an artificial neural network GM Foody, MK Arora International Journal of Remote Sensing 18 (4), 799-810, 1997 | 371 | 1997 |
