| Status of land cover classification accuracy assessment GM Foody Remote sensing of environment 80 (1), 185-201, 2002 | 5490 | 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 | 2511 | 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 | 1369 | 2004 |
| Thematic map comparison GM Foody Photogrammetric Engineering & Remote Sensing 70 (5), 627-633, 2004 | 1270 | 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 | 1019 | 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 | 930 | 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 | 791 | 2003 |
| 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 | 748 | 2004 |
| 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 | 732 | 1996 |
| 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 | 550 | 2006 |
| 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 | 550 | 1992 |
| 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 | 502 | 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 | 495 | 2008 |
| On the compensation for chance agreement in image classification accuracy assessment GM Foody Photogrammetric Engineering and Remote Sensing 58, 1459-1460, 1992 | 487 | 1992 |
| 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 | 442 | 2008 |
| 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 | 434 | 2006 |
| Harshness in image classification accuracy assessment GM Foody International Journal of Remote Sensing 29 (11), 3137-3158, 2008 | 426 | 2008 |
| 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 | 420 | 2001 |
| Explaining the unsuitability of the kappa coefficient in the assessment and comparison of the accuracy of thematic maps obtained by image classification GM Foody Remote sensing of environment 239, 111630, 2020 | 410 | 2020 |
| 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 | 398 | 2003 |
