Giles Foody

Contact

• workRoom A15 Sir Clive Granger
  University Park
  Nottingham
  NG7 2RD
  UK
• work0115 95 15430
• fax0115 95 15249
• giles.foody@nottingham.ac.uk

Research Summary

My research interests focus on the interface between remote sensing, informatics and ecology.

I have been fortunate to work on a variety of projects with a range of collaborators, including >36 PhD students who have worked under my supervision. This work has been supported by over £1 million in research funding and has resulted in ~160 refereed journal articles, 8 books and >175 other publications (book chapters, conference papers etc). My publications have been cited >8,000 times and I have a 'h' index of 50.

I serve on a variety of committees (e.g. sub-panel C17 of REF2014) and I am currently on the editorial board of 10 journals:

Editor-in-chief International Journal of Remote Sensing (Letters editor 2001-8; EiC 2007- ) Editor-in-chief Remote Sensing Letters (Founding editor-in-chief, 2010- ) 'Co-ordinating' editor Landscape Ecology (2005- ) Associate editor Ecological Informatics & guest editor, vol 2(2), (2005- ) Editorial boards (6): Geocarto International (1996-); Remote Sensing of Environment (2005-); International Journal of Applied Remote Sensing (2006-); International Journal of Applied Earth Observation and Geoinformation (2007-); Remote Sensing (2009-); Scottish Geographical Journal (2010-).

Selected Publications

• FOODY, G. M., 2010. Assessing the accuracy of land cover change with imperfect ground reference data Remote Sensing of Environment. VOL 114(NUMBER 10), 2271-2285
• FOODY, GM, 2011. Impacts Of Imperfect Reference Data On The Apparent Accuracy Of Species Presence-Absence Models And Their Predictions Global Ecology And Biogeography. 20(3), 498-508
• FOODY, G. and DASH, J., 2010. Estimating the relative abundance of C3 and C4 grasses in the Great Plains from multi-temporal MTCI data: issues of compositing period and spatial generalizability International Journal of Remote Sensing. VOL 31(NUMBER 2), 351-362
• PAL, M. and FOODY, G.M., 2010. Feature Selection for Classification of Hyperspectral Data by SVM IEEE Transactions on Geoscience and Remote Sensing. VOL 48(NUMB 5), 2297-2307

• View all publications

• 2012. Latent class modelling for site and non-site specific classification accuracy assessment without ground data IEEE Transactions on Geoscience and Remote Sensing. (In Press.)
• FOODY, GM, 2011. Impacts Of Imperfect Reference Data On The Apparent Accuracy Of Species Presence-Absence Models And Their Predictions Global Ecology And Biogeography. 20(3), 498-508
• BOYD, DS and FOODY, GM, 2011. An Overview Of Recent Remote Sensing And Gis Based Research In Ecological Informatics Ecological Informatics. 6(1), 25-36
• FOODY, G., 2010. Assessing the Accuracy of Remotely Sensed Data: Principles and Practices. VOL 25(NUMBER 130), 204-205
• FOODY, G., 2010. International Journal of Remote Sensing. VOL 31(NUMBER 1), 1-2
• ASMAT, A., ATKINSON, P. M. and FOODY, G. M., 2010. Geostatistically estimated image noise is a function of variance in the underlying signal International Journal of Remote Sensing. VOL 31(NUMBER 4), 1009-1025
• PAL, M. and FOODY, G.M., 2010. Feature Selection for Classification of Hyperspectral Data by SVM IEEE Transactions on Geoscience and Remote Sensing. VOL 48(NUMB 5), 2297-2307
• FOODY, G. M., 2010. Assessing the accuracy of land cover change with imperfect ground reference data Remote Sensing of Environment. VOL 114(NUMBER 10), 2271-2285
• FOODY, G. and DASH, J., 2010. Estimating the relative abundance of C3 and C4 grasses in the Great Plains from multi-temporal MTCI data: issues of compositing period and spatial generalizability International Journal of Remote Sensing. VOL 31(NUMBER 2), 351-362
• FOODY, GM, 2010. A Fresh Start
• FOODY, G., 2009. The impact of imperfect ground reference data on the accuracy of land cover change estimation International Journal of Remote Sensing. VOL 30(NUMBER 12), 3275-3281
• ZHANG, J. and FOODY, G., 2009. Spatial accuracy in remote sensing International Journal of Remote Sensing. VOL 30(NUMBER 20), 5239-5242
• FOODY, G. M., 2009. Classification accuracy comparison: Hypothesis tests and the use of confidence intervals in evaluations of difference, equivalence and non-inferiority Remote Sensing of Environment. VOL 113(NUMBER 8), 1658-1663
• FOODY, G., 2009. Sample size determination for image classification accuracy assessment and comparison International Journal of Remote Sensing. VOL 30(NUMBER 20), 5273-5291
• BROWN, K. M., FOODY, G. M. and ATKINSON, P. M., 2009. Estimating per-pixel thematic uncertainty in remote sensing classifications International Journal of Remote Sensing. VOL 30(NUMBER 1), 209-229
• RICHARDS, K., BATTY, M., EDWARDS, K., FINDLAY, A., FOODY, G., FROSTICK, L., JONES, K., LEE, R., LIVINGSTONE, D. and MARSDEN, T., 2009. The nature of publishing and assessment in Geography and Environmental Studies: evidence from the Research Assessment Exercise 2008 Area. VOL 41(NUMBER 3), 231-243
• FOODY, G., 2008. Harshness in image classification accuracy assessment INTERNATIONAL JOURNAL OF REMOTE SENSING. VOL 29(NUMBER 11), 3137-3158
• FOODY, G. M., 2008. RVM-based multi-class classification of remotely sensed data INTERNATIONAL JOURNAL OF REMOTE SENSING. VOL 29(NUMBER 6), 1817-1823
• MATHUR, A. and FOODY, G.M., 2008. Multiclass and Binary SVM Classification: Implications for Training and Classification Users IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. VOL 5(NUMB 2), 241-245
• FOODY, G., 2008. Editorial. All change? INTERNATIONAL JOURNAL OF REMOTE SENSING. VOL 29(NUMBER 1), 1-2
• MATHUR, A. and FOODY, G., 2008. Crop classification by support vector machine with intelligently selected training data for an operational application INTERNATIONAL JOURNAL OF REMOTE SENSING. VOL 29(NUMBER 8), 2227-2240
• 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),
• FOODY, G. M., 2007. Map comparison in GIS PROGRESS IN PHYSICAL GEOGRAPHY. VOL 31(ISSU 4), 439-446
• OSBORNE, P. E., FOODY, G. M. and SUAREZ-SEOANE, S., 2007. Non-stationarity and local approaches to modelling the distributions of wildlife DIVERSITY AND DISTRIBUTIONS. VOL 13(NUMBER 3), 313-323
• BROWN, K. M., FOODY, G. M. and ATKINSON, P. M., 2007. Modelling geometric and misregistration error in airborne sensor data to enhance change detection INTERNATIONAL JOURNAL OF REMOTE SENSING. VOL 28(NUMBER 12), 2857-2879
• DASH, J., MATHUR, A., FOODY, G. M., CURRAN, P. J., CHIPMAN, J. W. and LILLESAND, T. M., 2007. Land cover classification using multi-temporal MERIS vegetation indices INTERNATIONAL JOURNAL OF REMOTE SENSING. VOL 28(NUMBER 6), 1137-1159
• DASH, J., MATHUR, A., FOODY, G. M., CURRAN, P. J., CHIPMAN, J. W. and LILLESAND, T. M., 2007. Land cover classification using multi-temporal MERIS vegetation indices INTERNATIONAL JOURNAL OF REMOTE SENSING. VOL 28(NUMB 6), 1137-1159
• ATKINSON, P. M., FOODY, G. M., GETHING, P. W., MATHUR, A. and KELLY, C. K., 2007. Investigating spatial structure in specific tree species in ancient semi-natural woodland using remote sensing and marked point pattern analysis: ECOGRAPHY -COPENHAGEN-. VOL 30(NUMBER 1), 88-104
• 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 . 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
• FOODY, G. M. and MATHUR, A., 2006. The use of small training sets containing mixed pixels for accurate hard image classification: training on mixed spectral responses for classification by a SVM Remote Sensing of Environment. 103(2), 179-189
• FOODY, G. M. and CUTLER, M. E., 2006. Mapping the species richness and composition of tropical forests from remotely sensed data with neural networks ECOLOGICAL MODELLING. VOL 195(NUMB 1/2), 37-42
• FOODY, G. M., 2006. What is the difference between two maps? A remote senser’s view JOURNAL OF GEOGRAPHICAL SYSTEMS. VOL 8(NUMBER 2), 119-130
• MUSLIM, A. M., FOODY, G. M. and ATKINSON, P. M., 2006. Localized soft classification for super-resolution mapping of the shoreline INTERNATIONAL JOURNAL OF REMOTE SENSING. VOL 27(NUMB 11), 2271-2285
• FOODY, G. M., 2006. GIS: HEALTH APPLICATIONS PROGRESS IN PHYSICAL GEOGRAPHY. VOL 30(ISSU 5), 691-696
• 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
• DOAN, H. T. X. and FOODY, G. M., 2005. Increasing Soft Classification Accuracy through the use of an Ensemble of Classifiers INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM. VOL 1, 486-489
• FOODY, G. M., ATKINSON, P. M., GETHING, P. W., RAVENHILL, N. A. and KELLY, C. K., 2005. Identification of specific tree species in ancient semi-natural woodland from digital aerial sensor imagery ECOLOGICAL APPLICATIONS. VOL 15(NUMB 4), 1233-1244
• ATKINSON, P. M., SARGENT, I. M., FOODY, G. M. and WILLIAMS, J., 2005. Interpreting image-based methods for estimating the signal-to-noise ratio INTERNATIONAL JOURNAL OF REMOTE SENSING. VOL 26(NUMB 22), 5099-5116
• FOODY, G. M., 2005. Local characterization of thematic classification accuracy through spatially constrained confusion matrices INTERNATIONAL JOURNAL OF REMOTE SENSING. VOL 26(NUMB 6), 1217-1228
• FOODY, G. M., 2005. Mapping the richness and composition of British breeding birds from coarse spatial resolution satellite sensor imagery INTERNATIONAL JOURNAL OF REMOTE SENSING. VOL 26(NUMB 18), 3943-3956
• FOODY, G. M., MUSLIM, A. M. and ATKINSON, P. M., 2005. Super-resolution mapping of the waterline from remotely sensed data INTERNATIONAL JOURNAL OF REMOTE SENSING. VOL 26(NUMB 24), 5381-5392
• FOODY, G. M., 2005. MATHER, P.M. COMPUTER PROCESSING OF REMOTELY-SENSED IMAGES. AN INTRODUCTION PROGRESS IN PHYSICAL GEOGRAPHY. VOL 29(ISSU 4), 612
• DOAN, H. T. X. and FOODY, G. M., 2005. Increasing Soft Classification Accuracy through the use of an Ensemble of Classifiers INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM. VOL 1, 486-489
• FOODY, G. M., 2004. Spatial nonstationarity and scale-dependency in the relationship between species richness and environmental determinants for the sub-Saharan endemic avifauna Global Ecology and Biogeography. 13(4), 315-320
• FOODY, G. M., SARGENT, I. M. J., ATKINSON, P. M. and WILLIAMS, J. W., 2004. Thematic labelling from hyperspectral remotely sensed imagery: trade-offs in image properties INTERNATIONAL JOURNAL OF REMOTE SENSING. VOL 25(PART 12), 2337-2364
• FOODY, G. M., 2004. Thematic Map Comparison: Evaluating the Statistical Significance of Differences in Classification Accuracy PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING. VOL 70(PART 5), 627-634
• FOODY, G. M. and MATHUR, A., 2004. Toward intelligent training of supervised image classifications: directing training data acquisition for SVM classification REMOTE SENSING OF ENVIRONMENT -NEW YORK-. VOL 93(NUMBER 1-2), 107-117
• MATHUR, A. and FOODY, G. M., 2004. Land Cover Classification by Support Vector Machine: Towards Efficient Training INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM. VOL 2, 742-744
• FOODY, G. M., 2004. GIS: stressing the geographical PROGRESS IN PHYSICAL GEOGRAPHY. VOL 28(PART 1), 152-152
• MATHUR, A. and FOODY, G. M., 2004. Land Cover Classification by Support Vector Machine: Towards Efficient Training INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM. 742-744
• FOODY, G. M., 2004. Supervised image classification by MLP and RBF neural networks with and without an exhaustively defined set of classes INTERNATIONAL JOURNAL OF REMOTE SENSING.. VOL 25(PART 15), 3091-3104
• FOODY, G. M. and MATHUR, A., 2004. A Relative Evaluation of Multiclass Image Classification by Support Vector Machines IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING.. VOL 42(PART 6), 1335-1343
• 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
• FOODY, G. M. and CUTLER, M. E. J., 2003. Tree biodiversity in protected and logged Bornean tropical rain forests and its measurement by satellite remote sensing Journal of Biogeography. 30(7), 1053-1066
• 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
• FOODY, G. M., 2003. Geographical weighting as a further refinement to regression modelling: An example focused on the NDVI-rainfall relationship REMOTE SENSING OF ENVIRONMENT -NEW YORK-. VOL 88(NUMBER 3), 283-293
• FOODY, G., 2003. Tso, B. and Mather, P.M., Classification methods for remotely sensed data PROGRESS IN PHYSICAL GEOGRAPHY. VOL 27(PART 3), 468
• FOODY, G. M., 2003. Uncertainty, knowledge discovery and data mining in GIS PROGRESS IN PHYSICAL GEOGRAPHY. VOL 27(PART 1), 113-121
• FOODY, G. M., 2003. Remote sensing of tropical forest environments: towards the monitoring of environmental resources for sustainable development INTERNATIONAL JOURNAL OF REMOTE SENSING. VOL 24(PART 20), 4035-4046
• FOODY, G. M., MUSLIM, A. M. and ATKINSON, P. M., 2003. Super-Resolution Mapping of the Shoreline Through Soft Classification Analyses INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM. VOL 6, VI: 3429 - 3431
• FOODY, G. M., MUSLIM, A. M. and ATKINSON, P. M., 2003. Super-Resolution Mapping of the Shoreline Through Soft Classification Analyses INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM. VOL 6, VI: 3429 - 3431
• FOODY, G. M., JACKSON, R. G. and QUINE, C. P., 2003. Potential Improvements in the Characterization of Forest Canopy Gaps Caused by Windthrow Using Fine Spatial Resolution Multispectral Data: Comparing Hard and Soft Classification Techniques FOREST SCIENCE -WASHINGTON-. VOL 49(PART 3), 444-454
• FOODY, G. M., 2002. Hard and soft classifications by a neural network with a non-exhaustively defined set of classes INTERNATIONAL JOURNAL OF REMOTE SENSING. VOL 23(PART 18), 3853-3864
• GHONEIM, E. M., ARNELL, N. W. and FOODY, G. M., 2002. Characterizing the flash flood hazards potential along the Red Sea coast of Egypt IAHS PUBLICATION. ISSU 271, 211-216
• FOODY, G. M. and CUTLER, M. E., 2002. 02_02_15:00 REMOTE SENSING OF BIODIVERSITY: USING NEURAL NETWORKS TO ESTIMATE THE DIVERSITY AND COMPOSITION OF A BORNEAN TROPICAL RAINFOREST FROM LANDSAT TM DATA INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM. VOL 1, I: 497-499
• BOYD, D. S., PHIPPS, P. C., FOODY, G. M. and WALSH, R. P. D., 2002. Exploring the utility of NOAA AVHRR middle infrared reflectance to monitor the impacts of ENSO-induced drought stress on Sabah rainforests INTERNATIONAL JOURNAL OF REMOTE SENSING. VOL 23(PART 23), 5141-5148
• FOODY, G. M. and BOYD, D. S., 2002. Sharpened Mapping of Tropical Forest Biophysical Properties from Coarse Spatial Resolution Satellite Sensor Data NEURAL COMPUTING AND APPLICATIONS. VOL 11(PART 1), 62-70
• BOYD, D. S., FOODY, G. M. and RIPPLE, W. J., 2002. Evaluation of approaches for forest cover estimation in the Pacific Northwest, USA, using remote sensing APPLIED GEOGRAPHY -SEVENOAKS-. VOL 22(NUMBER 4), 375-392
• LUCAS, R. M., HONZAK, M., DO AMARAL, I., CURRAN, P. J. and FOODY, G. M., 2002. Forest regeneration on abandoned clearances in central Amazonia INTERNATIONAL JOURNAL OF REMOTE SENSING. VOL 23(PART 5), 965-988
• FOODY, G. M., 2002. Status of land cover classification accuracy assessment REMOTE SENSING OF ENVIRONMENT -NEW YORK-. VOL 80(NUMBER 1), 185-201
• FOODY, G. M. and CUTLER, M. E., 2002. REMOTE SENSING OF BIODIVERSITY: USING NEURAL NETWORKS TO ESTIMATE THE DIVERSITY AND COMPOSITION OF A BORNEAN TROPICAL RAINFOREST FROM LANDSAT TM DATA INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM. VOL 1, I: 497-499
• FOODY, G. M., 2002. The Role of Soft Classification Techniques in the Refinement of Estimates of Ground Control Point Location PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING. VOL 68(PART 9), 897-904
• FOODY, G. M., 2001. Monitoring the Magnitude of Land-Cover Change around the Southern Limits of the Sahara PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING. VOL 67(PART 7), 841-848
• SVORAY, T., SHOSHANY, M., CURRAN, P. J., FOODY, G. M. and PEREVOLOTSKY, A., 2001. Relationship between green leaf biomass volumetric density and ERS-2 SAR backscatter of four vegetation formations in the semi-arid zone of Israel INTERNATIONAL JOURNAL OF REMOTE SENSING. VOL 22(PART 8), 1601-1608
• BOYD, D. S., PHIPPS, P. C., FOODY, G. M. and WALSH, R. P. D., 2001. Remote Monitoring of Impacts of ENSO Related Drought Stress on Sabah Rainforests INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM. VOL 6, VI: 2569-2571
• BOYD, D. S., PHIPPS, P. C., FOODY, G. M. and WALSH, R. P. D., 2001. Remote Monitoring of Impacts of ENSO Related Drought Stress on Sabah Rainforests INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM. VOL 6, 2569-2571
• FOODY, G. M., 2001. Thematic mapping from remotely sensed data with neural networks: MLP, RBF and PNN based approaches JOURNAL OF GEOGRAPHICAL SYSTEMS. VOL 3(PART 3), 217-232
• FOODY, G. M., 2001. The Effect of a Non-Exhaustively Defined Set of Classes on Neural Network Classifications INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM. VOL 6, 2731-2733
• FOODY, G. M., 2001. The Effect of a Non-Exhaustively Defined Set of Classes on Neural Network Classifications INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM. VOL 6, VI: 2731-2733
• ZHANG, J. and FOODY, G. M., 2001. Fully-fuzzy supervised classification of sub-urban land cover from remotely sensed imagery: statistical and artificial neural network approaches INTERNATIONAL JOURNAL OF REMOTE SENSING. VOL 22(PART 4), 615-628
• FOODY, G. M., SARGENT, I. M. J., ATKINSON, P. M. and WILLIAMS, J. W., 2001. Land Cover Classification from Hyperspectral Remotely Sensed Data: An Investigation of Spectral, Spatial and Noise Issues INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM. VOL 6, VI: 2728-2730
• FOODY, G. M., 2001. GIS: the accuracy of spatial data revisited PROGRESS IN PHYSICAL GEOGRAPHY. VOL 25(PART 3), 389-398
• FOODY, G. M., CUTLER, M. E., MCMORROW, J., PELZ, D., TANGKI, H., BOYD, D. S. and DOUGLAS, I., 2001. Mapping the biomass of Bornean tropical rain forest from remotely sensed data GLOBAL ECOLOGY AND BIOGEOGRAPHY. VOL 10(NUMB 4), 379-388
• FOODY, G. M., SARGENT, I. M. J., ATKINSON, P. M. and WILLIAMS, J. W., 2001. Land Cover Classification from Hyperspectral Remotely Sensed Data: An Investigation of Spectral, Spatial and Noise Issues INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM. VOL 6, 2728-2730