Giles Foody

Professor of Geographical Information Science, Faculty of Social Sciences

Personal Details
Research
Publications

Contact

workRoom C7 Sir Clive Granger
University Park
Nottingham
NG7 2RD
UK
work0115 95 15430
fax0115 95 15249
giles.foody@nottingham.ac.uk

Research Summary

Selected Publications

JACKSON, B., BOYD, D. S., IVES, C. D., DECKER SPARKS, J. L., FOODY, G. M., MARSH, S. and BALES, K., 2020. Remote sensing of fish-processing in the Sundarbans Reserve Forest, Bangladesh: an insight into the modern slavery-environment nexus in the coastal fringe Maritime Studies.
PHILIPSON, CHRISTOPHER D., CUTLER, MARK E. J., BRODRICK, PHILIP G., ASNER, GREGORY P., BOYD, DOREEN S., COSTA, PEDRO MOURA, FIDDES, JOEL, FOODY, GILES M., VAN DER HEIJDEN, GEERTJE M. F., LEDO, ALICIA, LINCOLN, PHILIPPA R., MARGROVE, JAMES A., MARTIN, ROBERTA E., MILNE, SOL, PINARD, MICHELLE A., REYNOLDS, GLEN, SNOEP, MARTIJN, TANGKI, HAMZAH, WAI, YAP SAU, WHEELER, CHARLOTTE E. and BURSLEM, DAVID F. R. P., 2020. Active restoration accelerates the carbon recovery of human-modified tropical forests SCIENCE. 369(6505), 838-+
FOODY, GILES M., 2020. Explaining the unsuitability of the kappa coefficient in the assessment and comparison of the accuracy of thematic maps obtained by image classification REMOTE SENSING OF ENVIRONMENT. 239,
LI, XIAODONG, FOODY, GILES M., BOYD, DOREEN S., GE, YONG, ZHANG, YIHANG, DU, YUN and LING, FENG, 2020. SFSDAF: An enhanced FSDAF that incorporates sub-pixel class fraction change information for spatio-temporal image fusion REMOTE SENSING OF ENVIRONMENT. 237,

View all publications

Current Research

I have broad interests in geography - spanning activity that lies in the social sciences (e.g. on the motivations, ability and potential of volunteers/citizen sensors to advance geographic research), the environmental sciences (e.g. on land cover changes on the carbon cycle and patterns of biodiversity) and technology/engineering (e.g. on machine learning methods for image analysis). My main research interests focus on the interface between remote sensing, informatics and ecology/environmental science. A major recent focus of work built on these interests is on studying 'slavery from space' linked to the University's Rights Lab.

I have been fortunate to work on a variety of projects with a range of collaborators, including 50 research students who have worked under my supervision. This work has been supported by research funding from a variety of bodies. Since 2014, the major awards I have been an investigator on:

ESRC IAA Mode B, Operationalising a sargassum monitoring service, PI, £10,000, 2022-2023.
UoN KE Strategic Fund, continuation of SargAssure project, PI, c.£40,000, 2022.
UKRI ODA and FTX Foundation, Co-I, £45,000, 2022-2023.
UK Space Agency, SargAssure, IPP Technology Development Programme, Principal Investigator, £279,050, 2021-2022.
GCRF, Validating sargassum detection, Principal Investigator, £158,533, 2020-2021.
GCRF, Brick kilns of the south Asia Brick Belt: optimising a research and impact platform to address objects of UN SDG intersectionality, Co-I, £94,232, 2020-2021.
UK Space Agency, International Partnerships Programme, SAtellite Sargassum Monitoring System (SASAMS) - developing real-time monitoring service for Mexico's Caribbean coast, Principal Investigator, £290,057, 2020-2021.
UK Space Agency, International Partnerships Programme, Anti-trafficking support system for Uganda's sustainability (AstUS), Co-I, £283,357, 2020-2021.
BBSRC, Citizen science for Earth observation (Citizens 4EO), Co-I, £16,507, 2019.
NERC, Spatio-TEmporal Dynamics of forest response to ENSO Drought (STEED), Co-I, 2018.
British Academy, Remote sensing to inform sustainable development, Principal Investigator, c. £24,600, 2018.
EPSRC, Satellite remote sensing of sites associated with slavery, Principal Investigator, c. £12,000, 2018.
EU, Final Action dissemination grant, Principal investigator, c. €9,400, 2017
EU, Lead of workpackage 5 of the LandSense citizen observatory, ~€343,000, 2016-2020.
EU, Final COST Action TD1202 grant period award, Principal Investigator, €232,309, 2015.
EU, Transition to Horizon extension of COST Action TD1202, Principal Investigator, €74,350, 2014.
EU, COST Action TD1202, Principal Investigator, €147,545, 2014.

To-date, research has resulted in >250 refereed journal articles, 9 books and >200 other publications (book chapters, conference papers etc). My publications have been cited >43,000 times and I have a 'h' index of 100 (source - Google Scholar). In field based standardized citation lists that account for self-citation I am ranked 2^nd in the world in the subject including geomatics.

I am a Fellow of the IEEE (FIEEE) and in 2021 I was elected an ordinary member of Academia Europaea (MAE). I have also been fortunate to receive several prizes, most recently the RSPSoc's Taylor and Francis Award (2020), the IEEE David Landgrebe award (2019) and 2 global peer review awards (2019). The Rights Lab's Data/Measurement theme I work in has also received major awards for its research on slavery from space. A full list of awards is available in my CV which is available on request.

I have served on a variety of committees (e.g. RCUK grant panels (including roles as chair)); sub-panel 14 of REF2021, sub-panel C17 of REF2014 and H32 of RAE2008) and on the editorial board of 17 journals (including two as editor-in-chief).

JACKSON, B., BOYD, D. S., IVES, C. D., DECKER SPARKS, J. L., FOODY, G. M., MARSH, S. and BALES, K., 2020. Remote sensing of fish-processing in the Sundarbans Reserve Forest, Bangladesh: an insight into the modern slavery-environment nexus in the coastal fringe Maritime Studies.
FEILHAUER, HANNES, ZLINSZKY, ANDRAS, KANIA, ADAM, FOODY, GILES M., DOKTOR, DANIEL, LAUSCH, ANGELA and SCHMIDTLEIN, SEBASTIAN, 2020. Let your maps be fuzzy!-Class probabilities and floristic gradients as alternatives to crisp mapping for remote sensing of vegetation REMOTE SENSING IN ECOLOGY AND CONSERVATION.
YIN, ZHIXIANG, LING, FENG, FOODY, GILES M., LI, XINYAN and DU, YUN, 2020. Cloud detection in Landsat-8 imagery in Google Earth Engine based on a deep convolutional neural network REMOTE SENSING LETTERS. 11(12), 1181-1190
CUTLER, MEJ, PHILIPSON, CD, BURSLEM, DFRP, FOODY, GM, LINCOLN, P, PINARD, MA, SNOEP, M, WHEELER, CE, TANGKI, H and WAI, YS, 2020. Aboveground carbon density plots from a logged forest, Danum Valley, Borneo, 1992-2016 NERC Environmental Information Data Centre.
JACKSON, BETHANY, BOYD, DOREEN S., IVES, CHRISTOPHER D., DECKER SPARKS, JESSICA L., FOODY, GILES M., MARSH, STUART and BALES, KEVIN, 2020. Remote sensing of fish-processing in the Sundarbans Reserve Forest, Bangladesh: an insight into the modern slavery-environment nexus in the coastal fringe MARITIME STUDIES.
LING, FENG, LI, XINYAN, FOODY, GILES M., BOYD, DOREEN, GE, YONG, LI, XIAODONG and DU, YUN, 2020. Monitoring surface water area variations of reservoirs using daily MODIS images by exploring sub-pixel information ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING. 168, 141-152
PHILIPSON, CHRISTOPHER D., CUTLER, MARK E. J., BRODRICK, PHILIP G., ASNER, GREGORY P., BOYD, DOREEN S., COSTA, PEDRO MOURA, FIDDES, JOEL, FOODY, GILES M., VAN DER HEIJDEN, GEERTJE M. F., LEDO, ALICIA, LINCOLN, PHILIPPA R., MARGROVE, JAMES A., MARTIN, ROBERTA E., MILNE, SOL, PINARD, MICHELLE A., REYNOLDS, GLEN, SNOEP, MARTIJN, TANGKI, HAMZAH, WAI, YAP SAU, WHEELER, CHARLOTTE E. and BURSLEM, DAVID F. R. P., 2020. Active restoration accelerates the carbon recovery of human-modified tropical forests SCIENCE. 369(6505), 838-+
FOODY, GILES M., 2020. Explaining the unsuitability of the kappa coefficient in the assessment and comparison of the accuracy of thematic maps obtained by image classification REMOTE SENSING OF ENVIRONMENT. 239,
LI, XIAODONG, CHEN, RUI, FOODY, GILES M., WANG, LIHUI, YANG, XIAOHONG, DU, YUN and LING, FENG, 2020. Spatio-Temporal Sub-Pixel Land Cover Mapping of Remote Sensing Imagery Using Spatial Distribution Information from Same-Class Pixels REMOTE SENSING. 12(3),
LI, XIAODONG, FOODY, GILES M., BOYD, DOREEN S., GE, YONG, ZHANG, YIHANG, DU, YUN and LING, FENG, 2020. SFSDAF: An enhanced FSDAF that incorporates sub-pixel class fraction change information for spatio-temporal image fusion REMOTE SENSING OF ENVIRONMENT. 237,
SHI, LINGFEI, FOODY, GILES M., BOYD, DOREEN S., GIRINDRAN, RENOY, WANG, LIHUI, DU, YUN and LING, FENG, 2020. Night-time lights are more strongly related to urban building volume than to urban area REMOTE SENSING LETTERS. 11(1), 29-36
LI, XIAODONG, FOODY, GILES M., BOYD, DOREEN S. and LING, FENG, 2019. AGING BRICK KILNS IN THE ASIAN BRICK BELT USING A LONG TIME SERIES OF LANDSAT SENSOR DATA TO INFORM THE STUDY OF MODERN DAY SLAVERY 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019). 130-133
STEHMAN, STEPHEN V. and FOODY, GILES M., 2019. Key issues in rigorous accuracy assessment of land cover products REMOTE SENSING OF ENVIRONMENT. 231,
LING, FENG, BOYD, DOREEN, GE, YONG, FOODY, GILES M., LI, XIAODONG, WANG, LIHUI, ZHANG, YIHANG, SHI, LINGFEI, SHANG, CHENG, LI, XINYAN and DU, YUN, 2019. Measuring River Wetted Width From Remotely Sensed Imagery at the Subpixel Scale With a Deep Convolutional Neural Network WATER RESOURCES RESEARCH. 55(7), 5631-5649
SHI, LINGFEI, LING, FENG, FOODY, GILES M., CHEN, CHENG, FANG, SHIMING, LI, XIAODONG, ZHANG, YIHANG and DU, YUN, 2019. Permanent disappearance and seasonal fluctuation of urban lake area in Wuhan, China monitored with long time series remotely sensed images from 1987 to 2016 INTERNATIONAL JOURNAL OF REMOTE SENSING. 40(22), 8484-8505
LI, XIAODONG, LING, FENG, FOODY, GILES M., GE, YONG, ZHANG, YIHANG, WANG, LIHUI, SHI, LINGFEI, LI, XINYAN and DU, YUN, 2019. Spatial-Temporal Super-Resolution Land Cover Mapping With a Local Spatial-Temporal Dependence Model IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. 57(7), 4951-4966
DOAN, HUONG T. X., FOODY, GILES M. and DIEU TIEN BUI, 2019. Reducing the impacts of intra-class spectral variability on the accuracy of soft classification and super-resolution mapping of shoreline INTERNATIONAL JOURNAL OF REMOTE SENSING. 40(9), 3384-3400
ZHANG, YIHANG, LING, FENG, FOODY, GILES M., GE, YONG, BOYD, DOREEN S., LI, XIAODONG, DU, YUN and ATKINSON, PETER M., 2019. Mapping annual forest cover by fusing PALSAR/PALSAR-2 and MODIS NDVI during 2007-2016 REMOTE SENSING OF ENVIRONMENT. 224, 74-91
FOODY, GILES M., LING, FENG, BOYD, DOREEN S., LI, XIAODONG and WARDLAW, JESSICA, 2019. Earth Observation and Machine Learning to Meet Sustainable Development Goal 8.7: Mapping Sites Associated with Slavery from Space REMOTE SENSING. 11(3),
LING, FENG and FOODY, GILES M., 2019. Super-resolution land cover mapping by deep learning REMOTE SENSING LETTERS. 10(6), 598-606
COSTA, H, FOODY, GM and BOYD DS, 2018. Supervised methods of image segmentation accuracy assessment in land cover mapping Remote Sensing of Environment. 205, 338-351
BOYD, D. S., JACKSON, B., WARDLAW, J., FOODY, G. M., MARSH, S. and BALES, K., 2018. Slavery from Space: Demonstrating the role for satellite remote sensing to inform evidence-based action related to UN SDG number 8 ISPRS Journal of Photogrammetry and Remote Sensing. 142(August 2018), 380-388
DOREEN S. BOYD, BETHANY JACKSON, JESSICA WARDLAW, GILES M. FOODY, STUART MARSH and KEVIN BALES, 2018. Slavery from Space: Demonstrating the role for satellite remote sensing to inform evidence-based action related to UN SDG number 8 ISPRS Journal of Photogrammetry and Remote Sensing. 380-388
ROCCHINI, DUCCIO, LUQUE, SANDRA, PETTORELLI, NATHALIE, BASTIN, LUCY, DOKTOR, DANIEL, FAEDI, NICOLO, FEILHAUER, HANNES, FERET, JEAN-BAPTISTE, FOODY, GILES M., GAVISH, YONI, GODINHO, SERGIO, KUNIN, WILLIAM E., LAUSCH, ANGELA, LEITAO, PEDRO J., MARCANTONIO, MATTEO, NETELER, MARKUS, RICOTTA, CARLO, SCHMIDTLEIN, SEBASTIAN, VIHERVAARA, PETTERI, WEGMANN, MARTIN and NAGENDRA, HARINI, 2018. Measuring beta-diversity by remote sensing: A challenge for biodiversity monitoring METHODS IN ECOLOGY AND EVOLUTION. 9(8), 1787-1798
BOYD, DOREEN S., JACKSON, BETHANY, WARDLAW, JESSICA, FOODY, GILES M., MARSH, STUART and BALES, KEVIN, 2018. Slavery from Space: Demonstrating the role for satellite remote sensing to inform evidence-based action related to UN SDG number 8 ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING. 142, 380-388
ZHANG, YIHANG, FOODY, GILES M., LING, FENG, LI, XIAODONG, GE, YONG, DU, YUN and ATKINSON, PETER M., 2018. Spatial-temporal fraction map fusion with multi-scale remotely sensed images REMOTE SENSING OF ENVIRONMENT. 213, 162-181
STEHMAN, STEPHEN V., FONTE, CIDALIA C., FOODY, GILES M. and SEE, LINDA, 2018. Using volunteered geographic information (VGI) in design-based statistical inference for area estimation and accuracy assessment of land cover REMOTE SENSING OF ENVIRONMENT. 212, 47-59
ROCCHINI, DUCCIO, BACARO, GIOVANNI, CHIRICI, GHERARDO, DA RE, DANIELE, FEILHAUER, HANNES, FOODY, GILES M., GALLUZZI, MARTA, GARZON-LOPEZ, CAROL X., GILLESPIE, THOMAS W., HE, KATE S., LENOIR, JONATHAN, MARCANTONIO, MATTEO, NAGENDRA, HARINI, RICOTTA, CARLO, ROMMEL, EDVINAS, SCHMIDTLEIN, SEBASTIAN, SKIDMORE, ANDREW K., VAN DE KERCHOVE, RUBEN, WEGMANN, MARTIN and RUGANI, BENEDETTO, 2018. Remotely sensed spatial heterogeneity as an exploratory tool for taxonomic and functional diversity study ECOLOGICAL INDICATORS. 85, 983-990
COSTA, HUGO, FOODY, GILES M. and BOYD, DOREEN S., 2018. Supervised methods of image segmentation accuracy assessment in land cover mapping REMOTE SENSING OF ENVIRONMENT. 205, 338-351
COSTA, H., FOODY, G.M. and BOYD, D.S., 2017. Using mixed objects in the training of object-based image classifications Remote Sensing of Environment. 190, 199-197
ROCCHINI, DUCCIO, GARZON-LOPEZ, CAROL X, MARCANTONIO, MATTEO, AMICI, VALERIO, BACARO, GIOVANNI, BASTIN, LUCY, BRUMMITT, NEIL, CHIARUCCI, ALESSANDRO, FOODY, GILES M, HAUFFE, HEIDI C, HE, KATE S, RICOTTA, CARLO, RIZZOLI, ANNAPAOLA and ROSA, ROBERTO, 2017. Anticipating species distributions: Handling sampling effort bias under a Bayesian framework. The Science of the total environment.
OLTEANU-RAIMOND, ANA-MARIA, HART, GLEN, FOODY, GILES M., TOUYA, GUILLAUME, KELLENBERGER, TOBIAS and DEMETRIOU, DEMETRIS, 2017. The Scale of VGI in Map Production: A Perspective on European National Mapping Agencies TRANSACTIONS IN GIS. 21(1), 74-90
LI, XIAODONG, LING, FENG, FOODY, GILES M., GE, YONG, ZHANG, YIHANG and DU, YUN, 2017. Generating a series of fine spatial and temporal resolution land cover maps by fusing coarse spatial resolution remotely sensed images and fine spatial resolution land cover maps REMOTE SENSING OF ENVIRONMENT. 196, 293-311
SILVA, JOEL, BACAO, FERNANDO, DIENG, MAGUETTE, FOODY, GILES M. and CAETANO, MARIO, 2017. Improving specific class mapping from remotely sensed data by cost-sensitive learning INTERNATIONAL JOURNAL OF REMOTE SENSING. 38(11), 3294-3316
ROCCHINI, DUCCIO, GARZON-LOPEZ, CAROL X., MARCANTONIO, MATTEO, AMICI, VALERIO, BACARO, GIOVANNI, BASTIN, LUCY, BRUMMITT, NEIL, CHIARUCCI, ALESSANDRO, FOODY, GILES M., HAUFFE, HEIDI C., HE, KATE S., RICOTTA, CARLO, RIZZOLI, ANNAPAOLA and ROSA, ROBERTO, 2017. Anticipating species distributions: Handling sampling effort bias under a Bayesian framework SCIENCE OF THE TOTAL ENVIRONMENT. 584, 282-290
COSTA, HUGO, FOODY, GILES M. and BOYD, DOREEN S., 2017. Using mixed objects in the training of object-based image classifications REMOTE SENSING OF ENVIRONMENT. 190, 188-197
LING, FENG, FOODY, GILES M., DU, HAO, BAN, XUAN, LI, XIAODONG, ZHANG, YIHANG and DU, YUN, 2017. Monitoring Thermal Pollution in Rivers Downstream of Dams with Landsat ETM plus Thermal Infrared Images REMOTE SENSING. 9(11),
SHI, LINGFEI, LING, FENG, GE, YONG, FOODY, GILES M., LI, XIAODONG, WANG, LIHUI, ZHANG, YIHANG and DU, YUN, 2017. Impervious Surface Change Mapping with an Uncertainty-Based Spatial-Temporal Consistency Model: A Case Study in Wuhan City Using Landsat Time-Series Datasets from 1987 to 2016 REMOTE SENSING. 9(11),
FOODY, GILES M., 2017. Impacts of Sample Design for Validation Data on the Accuracy of Feedforward Neural Network Classification APPLIED SCIENCES-BASEL. 7(9),
GARZON-LOPEZ, CAROL X, BASTIN, LUCY, FOODY, GILES M and ROCCHINI, DUCCIO, 2016. A virtual species set for robust and reproducible species distribution modelling tests. Data in brief. 7, 476-9
LI, XIAODONG, LING, FENG, FOODY, GILES M. and DU, YUN, 2016. Improving super-resolution mapping through combining multiple super-resolution land-cover maps INTERNATIONAL JOURNAL OF REMOTE SENSING. 37(10), 2415-2432
COMBER, ALEXIS, FONTE, CIDALIA, FOODY, GILES, FRITZ, STEFFEN, HARRIS, PAUL, OLTEANU-RAIMOND, ANA-MARIA and SEE, LINDA, 2016. Geographically weighted evidence combination approaches for combining discordant and inconsistent volunteered geographical information GEOINFORMATICA. 20(3), 503-527
LING, FENG, ZHANG, YIHANG, FOODY, GILES M., LI, XIAODONG, ZHANG, XIUHUA, FANG, SHIMING, LI, WENBO and DU, YUN, 2016. Learning-Based Superresolution Land Cover Mapping IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. 54(7), 3794-3810
LI, XIAODONG, LING, FENG, FOODY, GILES M. and DU, YUN, 2016. A Superresolution Land-Cover Change Detection Method Using Remotely Sensed Images With Different Spatial Resolutions IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. 54(7), 3822-3841
LING, FENG, FOODY, GILES M., LI, XIAODONG, ZHANG, YIHANG and DU, YUN, 2016. Assessing a Temporal Change Strategy for Sub-Pixel Land Cover Change Mapping from Multi-Scale Remote Sensing Imagery REMOTE SENSING. 8(8),
FOODY, GILES M., PAL, MAHESH, ROCCHINI, DUCCIO, GARZON-LOPEZ, CAROL X. and BASTIN, LUCY, 2016. The Sensitivity of Mapping Methods to Reference Data Quality: Training Supervised Image Classifications with Imperfect Reference Data ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION. 5(11),
LING, FENG, FOODY, GILES M., GE, YONG, LI, XIAODONG and DU, YUN, 2016. An Iterative Interpolation Deconvolution Algorithm for Superresolution Land Cover Mapping IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. 54(12), 7210-7222
SEE, LINDA, MOONEY, PETER, FOODY, GILES, BASTIN, LUCY, COMBER, ALEXIS, ESTIMA, JACINTO, FRITZ, STEFFEN, KERLE, NORMAN, JIANG, BIN, LAAKSO, MARI, LIU, HAI-YING, MILCINSKI, GREGA, NIKSIC, MATEJ, PAINHO, MARCO, PODOR, ANDREA, OLTEANU-RAIMOND, ANA-MARIA and RUTZINGER, MARTIN, 2016. Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION. 5(5),
ANTONIOU, VYRON, FONTE, CIDALIA COSTA, SEE, LINDA, ESTIMA, JACINTO, ARSANJANI, JAMAL JOKAR, LUPIA, FLAVIO, MINGHINI, MARCO, FOODY, GILES and FRITZ, STEFFEN, 2016. Investigating the Feasibility of Geo-Tagged Photographs as Sources of Land Cover Input Data ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION. 5(5),
FOODY, G.M., SEE, L., FRITZ, S., VAN DER VELDE, M., PERGER, C., SCHILL, C., BOYD, D.S. and COMBER, A., 2015. Accurate attribute mapping from Volunteered Geographic Information: Issues of volunteer quantity and quality The Cartographic Journal. 52(4), 336-344
COSTA, H., FOODY, G.M. and BOYD, D.S., 2015. Integrating user needs on misclassification error sensitivity into image segmentation quality assessment Photogrammetric Engineering & Remote Sensing. 81(6), 451-459
MULLER, C. L., CHAPMAN, L., JOHNSTON, S., KIDD, C., ILLINGWORTH, S., FOODY, G., OVEREEM, A. and LEIGH, R. R., 2015. Crowdsourcing for climate and atmospheric sciences: current status and future potential INTERNATIONAL JOURNAL OF CLIMATOLOGY. 35(11), 3185-3203
FOODY, G. M., 2015. Valuing map validation: The need for rigorous land cover map accuracy assessment in economic valuations of ecosystem services ECOLOGICAL ECONOMICS. 111, 23-28
COSTA, HUGO, FOODY, GILES M. and BOYD, DOREEN S., 2015. Integrating User Needs on Misclassification Error Sensitivity into Image Segmentation Quality Assessment PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING. 81(6), 451-459
FOODY, GILES M., 2015. CITIZEN SCIENCE IN SUPPORT OF REMOTE SENSING RESEARCH 2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS). 5387-5390
FENG, XIAO, FOODY, GILES, APLIN, PAUL and GOSLING, SIMON N., 2015. Enhancing the spatial resolution of satellite-derived land surface temperature mapping for urban areas SUSTAINABLE CITIES AND SOCIETY. 19, 341-348
COSTA, HUGO, FOODY, GILES M., JIMENEZ, SILVIA and SILVA, LUIS, 2015. Impacts of Species Misidentification on Species Distribution Modeling with Presence-Only Data ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION. 4(4), 2496-2518
FONTE, CIDALIA C., BASTIN, LUCY, SEE, LINDA, FOODY, GILES and LUPIA, FLAVIO, 2015. Usability of VGI for validation of land cover maps INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE. 29(7), 1269-1291
FOODY, GILES M., 2015. THE EFFECT OF MIS-LABELED TRAINING DATA ON THE ACCURACY OF SUPERVISED IMAGE CLASSIFICATION BY SVM 2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS). 4987-4990
FOODY, G. M., SEE, L., FRITZ, S., VAN DER VELDE, M., PERGER, C., SCHILL, C., BOYD, D. S. and COMBER, A., 2015. Accurate Attribute Mapping from Volunteered Geographic Information: Issues of Volunteer Quantity and Quality CARTOGRAPHIC JOURNAL. 52(4), 336-344
FOODY, GILES M., 2014. Rating crowdsourced annotations: evaluating contributions of variable quality and completeness INTERNATIONAL JOURNAL OF DIGITAL EARTH. 7(8), 650-670
BOYD, DOREEN S. and FOODY, GILES M., 2014. Volunteered geographic information GEOGRAPHY. 99, 157-160
FOODY, G.M., SEE, L., FRITZ, S., VAN DER VELDE, M., PERGER, C., SCHILL, C. and BOYD, D.S., 2013. Assessing the accuracy of volunteered geographic information arising from multiple contributors to an internet based collaborative project. Transactions in GIS. 17, 847-860
OLOFSSON, PONTUS, FOODY, GILES M., STEHMAN, STEPHEN V. and WOODCOCK, CURTIS E., 2013. Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation REMOTE SENSING OF ENVIRONMENT. 129, 122-131
ROCCHINI, DUCCIO, DELUCCHI, LUCA, BACARO, GIOVANNI, CAVALLINI, PAOLO, FEILHAUER, HANNES, FOODY, GILES M., HE, KATE S., NAGENDRA, HARINI, PORTA, CLAUDIO, RICOTTA, CARLO, SCHMIDTLEIN, SEBASTIAN, SPANO, LUCIO DAVIDE, WEGMANN, MARTIN and NETELER, MARKUS, 2013. Calculating landscape diversity with information-theory based indices: A GRASS GIS solution ECOLOGICAL INFORMATICS. 17, 82-93
COMBER, ALEXIS, SEE, LINDA, FRITZ, STEFFEN, VAN DER VELDE, MARIJN, PERGER, CHRISTOPH and FOODY, GILES, 2013. Using control data to determine the reliability of volunteered geographic information about land cover INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION. 23, 37-48
GHONEIM, EMAN and FOODY, GILES M., 2013. Assessing flash flood hazard in an arid mountainous region ARABIAN JOURNAL OF GEOSCIENCES. 6(4), 1191-1202
ROCCHINI, DUCCIO, FOODY, GILES M., NAGENDRA, HARINI, RICOTTA, CARLO, ANAND, MADHUR, HE, KATE S., AMICI, VALERIO, KLEINSCHMIT, BIRGIT, FOERSTER, MICHAEL, SCHMIDTLEIN, SEBASTIAN, FEILHAUER, HANNES, GHISLA, ANNE, METZ, MARKUS and NETELER, MARKUS, 2013. Uncertainty in ecosystem mapping by remote sensing COMPUTERS & GEOSCIENCES. 50, 128-135
FOODY, GILES M., 2013. Ground reference data error and the mis-estimation of the area of land cover change as a function of its abundance REMOTE SENSING LETTERS. 4(8), 783-792
FOODY, GILES, 2013. Satellites: ambition for forest initiative NATURE. 498(7452), 37-37
FOODY, GILES M. and BOYD, DOREEN S., 2013. Using Volunteered Data in Land Cover Map Validation: Mapping West African Forests IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING. 6(3), 1305-1312
FOODY, G. M., SEE, L., FRITZ, S., VAN DER VELDE, M., PERGER, C., SCHILL, C. and BOYD, D. S., 2013. Assessing the Accuracy of Volunteered Geographic Information arising from Multiple Contributors to an Internet Based Collaborative Project TRANSACTIONS IN GIS. 17(6), 847-860
BOYD, D.S, ALMOND, S.A, DASH, J, CURRAN, P.J and HILL, R.A. AND FOODY, G.M., 2012. Estimating terrestrial Gross Primary Productivity with the Envisat Medium Resolution Imaging Spectrometer (MERIS) Terrestrial Chlorophyll Index (MTCI) IEEE Geoscience and Remote Sensing Letters. 9(3), 457-461
CUTLER, M.E.J., BOYD, D.S., FOODY, G.M. and VETRIVEL, A., 2012. Estimating tropical forest biomass with a combination of SAR texture and Landsat TM data: an assessment of predictions between regions ISPRS Journal of Photogrammetry and Remote Sensing. 70, 66-77
SU, YUAN-FONG, FOODY, GILES M. and CHENG, KE-SHENG, 2012. Spatial non-stationarity in the relationships between land cover and surface temperature in an urban heat island and its impacts on thermally sensitive populations LANDSCAPE AND URBAN PLANNING. 107(2), 172-180
FOODY, G.M., 2012. Latent class modeling for site- and non-site-specific classification accuracy assessment without ground data IEEE Transactions on Geoscience and Remote Sensing. 50(7), 2827-2838
MUAD, ANUAR M. and FOODY, GILES M., 2012. Super-resolution mapping of lakes from imagery with a coarse spatial and fine temporal resolution INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION. 15, 79-91
PAL, MAHESH and FOODY, GILES M., 2012. Evaluation of SVM, RVM and SMLR for Accurate Image Classification With Limited Ground Data IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING. 5(5), 1344-1355
SU, Y.-F., FOODY, G.M., MUAD, A.M. and CHENG, K.-S., 2012. Combining Hopfield neural network and contouring methods to enhance super-resolution mapping IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 5(5), 1403-1417
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. 48(5), 2297-2307
FOODY, G.M., 2010. Assessing the accuracy of land cover change with imperfect ground reference data Remote Sensing of Environment. 114(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.M., 2008. Harshness in image classification accuracy assessment International Journal of Remote Sensing. 29(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
SU, YUAN-FONG, FOODY, GILES M., MUAD, ANUAR M. and CHENG, KE-SHENG, Combining Pixel Swapping and Contouring Methods to Enhance Super-Resolution Mapping IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING. 5(5), 1428-1437
SU, YUAN-FONG, FOODY, GILES M., MUAD, ANUAR M. and CHENG, KE-SHENG, Combining Hopfield Neural Network and Contouring Methods to Enhance Super-Resolution Mapping IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING. 5(5), 1403-1417
MUAD, ANUAR M. and FOODY, GILES M., Impact of Land Cover Patch Size on the Accuracy of Patch Area Representation in HNN-Based Super Resolution Mapping IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING. 5(5), 1418-1427

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