Giles M. Foody

发表

Fuzzy mapping of tropical land cover along an environmental gradient from remotely sensed data with an artificial neural network

Giles M. Foody, Doreen S. Boyd, G. Foody, 1999, J. Geogr. Syst..

Sharpened Mapping of Tropical Forest Biophysical Properties from Coarse Spatial Resolution Satellite Sensor Data

Giles M. Foody, Doreen S. Boyd, 2002, Neural Computing & Applications.

Fuzzy modelling of vegetation from remotely sensed imagery

Giles M. Foody, G. Foody, 1996 .

Reducing the impacts of intra-class spectral variability on soft classification and its implications for super-resolution mapping

Giles M. Foody, Huong T. X. Doan, 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

Key issues in rigorous accuracy assessment of land cover products

Giles M. Foody, Stephen V. Stehman, S. Stehman, 2019, Remote Sensing of Environment.

Modelling geometric and misregistration error in airborne sensor data to enhance change detection

Giles M. Foody, Peter M. Atkinson, K. M. Brown, 2007 .

Combining Pixel Swapping and Contouring Methods to Enhance Super-Resolution Mapping

Giles M. Foody, Yuan-Fong Su, Anuar M. Muad, 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Directed ground survey for improved maximum likelihood classification of remotely sensed data

Giles M. Foody, G. Foody, 1990 .

Land Cover Mapping from Remotely Sensed Data with a Neural Network: Accommodating Fuzziness

Giles M. Foody, G. Foody, 1997 .

Thematic mapping from remotely sensed data with neural networks: MLP, RBF and PNN based approaches

Giles M. Foody, 2001, J. Geogr. Syst..

Recent developments in publishing on remote sensing

Giles M. Foody, 2014 .

Super-resolution mapping of lakes from imagery with a coarse spatial and fine temporal resolution

Giles M. Foody, Anuar M. Muad, A. M. Muad, 2012, Int. J. Appl. Earth Obs. Geoinformation.

Assessing the Accuracy of Volunteered Geographic Information arising from Multiple Contributors to an Internet Based Collaborative Project

Steffen Fritz, Christian Schill, Christoph Perger, 2013, Trans. GIS.

Citizen science in support of remote sensing research

Giles M. Foody, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

The Sensitivity of Mapping Methods to Reference Data Quality: Training Supervised Image Classifications with Imperfect Reference Data

Lucy Bastin, Giles M. Foody, Duccio Rocchini, 2016, ISPRS Int. J. Geo Inf..

An evaluation of some factors affecting the accuracy of classification by an artificial neural network

Giles M. Foody, Manoj K. Arora, G. Foody, 1997 .

Some Aspects of the Accuracy and Comparability of Soil Ground Data Collected for Microwave Remote Sensing Investigations

Giles M. Foody, 1989, 12th Canadian Symposium on Remote Sensing Geoscience and Remote Sensing Symposium,.

Correcting estimates of land cover change and change detection accuracy for error in ground reference data

Giles M. Foody, G. Foody, 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

Improving specific class mapping from remotely sensed data by cost-sensitive learning

Giles M. Foody, Joel Silva, Fernando Bação, 2017 .

An Iterative Interpolation Deconvolution Algorithm for Superresolution Land Cover Mapping

Feng Ling, Giles M. Foody, Xiaodong Li, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Approaches for the production and evaluation of fuzzy land cover classifications from remotely-sensed data

Giles M. Foody, G. Foody, 1996 .

Usability of VGI for validation of land cover maps

Lucy Bastin, Giles M. Foody, Cidália Costa Fonte, 2015, Int. J. Geogr. Inf. Sci..

Iterative Training Sample Expansion to Increase and Balance the Accuracy of Land Classification From VHR Imagery

Jon Atli Benediktsson, Giles M. Foody, Zhiyong Lv, 2021, IEEE Trans. Geosci. Remote. Sens..

Weighting Class Importance in Agricultural Crop Classification from Remotely Sensed Data with an Artificial Neural Network

Giles M. Foody, G. Foody, 1996 .

Fully-fuzzy supervised classification of sub-urban land cover from remotely sensed imagery: Statistical and artificial neural network approaches

Giles M. Foody, J. Zhang, G. Foody, 2001 .

A contour-based pixel swapping method for super-resolution mapping

Giles M. Foody, Yuan-Fong Su, Anuar M. Muad, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

Cloud detection in Landsat-8 imagery in Google Earth Engine based on a deep neural network pdf

Giles M. Foody, Zhixiang Yin, Yun Du, 2020, ArXiv.

Spatio-Temporal Sub-Pixel Land Cover Mapping of Remote Sensing Imagery Using Spatial Distribution Information From Same-Class Pixels

Giles M. Foody, Lihui Wang, Xiaodong Li, 2020, Remote. Sens..

A Superresolution Land-Cover Change Detection Method Using Remotely Sensed Images With Different Spatial Resolutions

Giles M. Foody, Xiaodong Li, Yun Du, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Crowdsourcing for climate and atmospheric sciences: current status and future potential

Giles M. Foody, Chris Kidd, Sam Illingworth, 2015 .

SFSDAF: An enhanced FSDAF that incorporates sub-pixel class fraction change information for spatio-temporal image fusion

Giles M. Foody, Doreen S. Boyd, Yun Du, 2020, Remote Sensing of Environment.

Crowdsourced geospatial data quality: challenges and future directions

Giles M. Foody, Peter Mooney, Anahid Bassiri, 2019, Int. J. Geogr. Inf. Sci..

Mapping Land Cover from Remotely Sensed Data with a Softened Feedforward Neural Network Classification

Giles M. Foody, G. Foody, 2000, J. Intell. Robotic Syst..

Anticipating species distributions: Handling sampling effort bias under a Bayesian framework.

Annapaola Rizzoli, Lucy Bastin, Giles M. Foody, 2017, The Science of the total environment.

Harshness in image classification accuracy assessment

Giles M. Foody, G. Foody, 2008 .

Combining Hopfield Neural Network and Contouring Methods to Enhance Super-Resolution Mapping

Giles M. Foody, Yuan-Fong Su, Anuar M. Muad, 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

The effect of a non-exhaustively defined set of classes on neural network classifications

Giles M. Foody, 2001, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).

Local characterization of thematic classification accuracy through spatially constrained confusion matrices

Giles M. Foody, G. Foody, G. M. Foody, 2005 .

Super-resolution mapping of landscape objects from coarse spatial resolution imagery

Giles M. Foody, Anuar Mikdad Muad, 2010 .

Remotely sensed spectral heterogeneity as a proxy of species diversity: Recent advances and open challenges

Markus Neteler, Giles M. Foody, Duccio Rocchini, 2010, Ecol. Informatics.

The Scale of VGI in Map Production: A Perspective on European National Mapping Agencies

Glen Hart, Giles M. Foody, Guillaume Touya, 2017, Trans. GIS.

Remotely sensed spatial heterogeneity as an exploratory tool for taxonomic and functional diversity study

Giles M. Foody, Ruben Van De Kerchove, Benedetto Rugani, 2018 .

Monitoring Thermal Pollution in Rivers Downstream of Dams with Landsat ETM+ Thermal Infrared Images

Giles M. Foody, Xiaodong Li, Yun Du, 2017, Remote. Sens..

Good practices for estimating area and assessing accuracy of land change

Giles M. Foody, Stephen V. Stehman, Martin Herold, 2014 .

Using volunteered geographic information (VGI) in design-based statistical inference for area estimation and accuracy assessment of land cover

Giles M. Foody, Linda See, Cidália Costa Fonte, 2018, Remote Sensing of Environment.

Land cover classification from hyperspectral remotely sensed data: an investigation of spectral, spatial and noise issues

Giles M. Foody, Peter M. Atkinson, I.M.J. Sargent, 2001, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).

Supervised methods of image segmentation accuracy assessment in land cover mapping

Giles M. Foody, Doreen S. Boyd, Hugo Costa, 2018 .

Super-resolution mapping using multiple observations and Hopfield neural network

Giles M. Foody, Anuar Mikdad Muad, A. M. Muad, 2010, Remote Sensing.

Land cover classification by support vector machine: towards efficient training

Giles M. Foody, Ajay Mathur, 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

Impacts of Class Spectral Variability on Soft Classification Prediction and Implications for Change Detection

Giles M. Foody, Huong T. X. Doan, 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

Assessing a Temporal Change Strategy for Sub-Pixel Land Cover Change Mapping from Multi-Scale Remote Sensing Imagery

Giles M. Foody, Xiaodong Li, Yun Du, 2016, Remote. Sens..

Estimating biophysical properties of tropical forests using radiation reflected in middle infrared wavelengths (3.0-5.0 /spl mu/m)

Giles M. Foody, Doreen S. Boyd, Paul J. Curran, 1998, IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174).

Mapping specific habitats from remotely sensed imagery: Support vector machine and support vector data description based classification of coastal saltmarsh habitats

Giles M. Foody, Doreen S. Boyd, Carolina Sanchez-Hernandez, 2007, Ecol. Informatics.

On Training and Evaluation of SVM for Remote Sensing Applications

Giles M. Foody, G. Foody, 2009 .

Cross-entropy for the evaluation of the accuracy of a fuzzy land cover classification with fuzzy ground data

Giles M. Foody, G. Foody, 1995 .

Mapping a specific class with an ensemble of classifiers

Giles M. Foody, Doreen S. Boyd, Carolina Sanchez-Hernandez, 2007 .

Feature Selection for Classification of Hyperspectral Data by SVM

Giles M. Foody, Mahesh Pal, G. Foody, 2010, IEEE Transactions on Geoscience and Remote Sensing.

Applications of the self-organising feature map neural network in community data analysis

Giles M. Foody, G. Foody, 1999 .

Learning-Based Superresolution Land Cover Mapping

Giles M. Foody, Xiuhua Zhang, Xiaodong Li, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Sample size determination for image classification accuracy assessment and comparison

Giles M. Foody, G. Foody, 2009 .

Increasing soft classification accuracy through the use of an ensemble of classifiers

Giles M. Foody, H.T.X. Doan, G. Foody, 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

Supervised image classification by MLP and RBF neural networks with and without an exhaustively defined set of classes

Giles M. Foody, G. Foody, 2004 .

Multiclass and Binary SVM Classification: Implications for Training and Classification Users

Giles M. Foody, Ajay Mathur, G. Foody, 2008, IEEE Geoscience and Remote Sensing Letters.

Image-based method for noise estimation in remotely sensed data

Giles M. Foody, Peter M. Atkinson, Arnis Asmat, 2007, SPIE Remote Sensing.

Investigating spatial structure in specific tree species in ancient semi-natural woodland using remote sensing and marked point pattern analysis

Giles M. Foody, Ajay Mathur, Colleen K. Kelly, 2007 .

Discriminating and mapping the C3 and C4 composition of grasslands in the northern Great Plains, USA

Giles M. Foody, Jadunandan Dash, J. Dash, 2007, Ecol. Informatics.

Super‐resolution mapping of the waterline from remotely sensed data

Giles M. Foody, Peter M. Atkinson, Aidy M. Muslim, 2005 .

Incorporating mixed pixels in the training, allocation and testing stages of supervised classifications

Giles M. Foody, Manoj K. Arora, G. Foody, 1996, Pattern Recognit. Lett..

Spatially distributed dynamic modelling

Stephen E. Darby, Giles M. Foody, Felix Wu, 2005 .

Sanchez-Hernandez, Carolina and Boyd, Doreen S. and Foody, Giles M. (2007) One-class classification for monitoring a specific land cover class: SVDD classification of fenland. IEEE Transactions on

Giles M. Foody, Doreen S. Boyd, Carolina Sanchez-Hernandez, 2016 .

Latent Class Modeling for Site- and Non-Site-Specific Classification Accuracy Assessment Without Ground Data

Giles M. Foody, G. Foody, 2012, IEEE Transactions on Geoscience and Remote Sensing.

Satellite remote sensing to monitor species diversity: potential and pitfalls

Giles M. Foody, Doreen S. Boyd, Angela Lausch, 2016 .

Cloud detection in Landsat-8 imagery in Google Earth Engine based on a deep convolutional neural network

Giles M. Foody, Zhixiang Yin, Yun Du, 2020, Remote Sensing Letters.

What is the difference between two maps? A remote senser’s view

Giles M. Foody, 2006, J. Geogr. Syst..

Rating the quality of post-disaster damage maps: Mapping building damage after the 2010 Haiti earthquake

Giles M. Foody, G. Foody, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

The use of small training sets containing mixed pixels for accurate hard image classification: Training on mixed spectral responses for classification by a SVM

Giles M. Foody, Ajay Mathur, G. Foody, 2006 .

Land Cover Classification by an Artificial Neural Network with Ancillary Information

Giles M. Foody, G. Foody, 1995, Int. J. Geogr. Inf. Sci..

The effect of mis-labeled training data on the accuracy of supervised image classification by SVM

Giles M. Foody, G. Foody, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Localized soft classification for super‐resolution mapping of the shoreline

Giles M. Foody, Peter M. Atkinson, Aidy M. Muslim, 2006 .

An overview of recent remote sensing and GIS based research in ecological informatics

Giles M. Foody, Doreen S. Boyd, G. Foody, 2011, Ecol. Informatics.

IDENTIFICATION OF SPECIFIC TREE SPECIES IN ANCIENT SEMI-NATURAL WOODLAND FROM DIGITAL AERIAL SENSOR IMAGERY

Giles M. Foody, Peter M. Atkinson, Colleen K. Kelly, 2005 .

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

Giles M. Foody, Doreen S. Boyd, Feng Ling, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

Optimal Endmember-Based Super-Resolution Land Cover Mapping

Giles M. Foody, Xiaodong Li, Yun Du, 2019, IEEE Geoscience and Remote Sensing Letters.

Use of Automated Change Detection and VGI Sources for Identifying and Validating Urban Land Use Change

Giles M. Foody, Laurence Jolivet, Ana-Maria Olteanu Raimond, 2020, Remote. Sens..

Investigating the Feasibility of Geo-Tagged Photographs as Sources of Land Cover Input Data

Steffen Fritz, Giles M. Foody, Marco Minghini, 2016, ISPRS Int. J. Geo Inf..

Fully fuzzy supervised classification of land cover from remotely sensed imagery with an artificial neural network

Giles M. Foody, G. Foody, 1997, Neural Computing & Applications.

Estimation of sub-pixel land cover composition in the presence of untrained classes

Giles M. Foody, G. Foody, 2000 .

Using Volunteered Data in Land Cover Map Validation: Mapping West African Forests

Giles M. Foody, Doreen S. Boyd, G. Foody, 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Using control data to determine the reliability of volunteered geographic information about land cover

Christoph Perger, Giles M. Foody, Alexis J. Comber, 2013, Int. J. Appl. Earth Obs. Geoinformation.

General approach to assessing the value of hyperspectral imagery and its application to sensor concept evaluation

Giles M. Foody, John W. Williams, Isabel M. J. Sargent, 2000, SPIE Optics + Photonics.

Using prior knowledge in artificial neural network classification with a minimal training set

Giles M. Foody, G. Foody, 1995 .

Estimating per‐pixel thematic uncertainty in remote sensing classifications

Giles M. Foody, Peter M. Atkinson, K. M. Brown, 2009 .

Refining predictions of climate change impacts on plant species distribution through the use of local statistics

Giles M. Foody, G. Foody, 2008, Ecol. Informatics.

Spatiotemporal Fusion of Land Surface Temperature Based on a Convolutional Neural Network

Giles M. Foody, Yun Du, Penghai Wu, 2020, IEEE Transactions on Geoscience and Remote Sensing.

Soft classifications for the mapping of land cover from remotely sensed data

Giles M. Foody, G. Foody, 1998, Optics & Photonics.

Fuzzy classification for the mapping of disturbance in tropical forests

Giles M. Foody, Mark Cutler, McMorrow, 2000 .

Measuring β‐diversity by remote sensing: A challenge for biodiversity monitoring

Markus Neteler, Lucy Bastin, Giles M. Foody, 2018 .

The significance of border training patterns in classification by a feedforward neural network using back propagation learning

Giles M. Foody, G. Foody, 1999 .

The Impact of the Contribution Micro-environment on Data Quality: The Case of OSM

Steffen Fritz, Giles M. Foody, Linda See, 2017 .

Estimating terrestrial gross primary productivity with the Envisat Medium Resolution Imaging Spectrometer (MERIS) Terrestrial Chlorophyll Index (MTCI)

Giles M. Foody, Doreen S. Boyd, Paul J. Curran, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

Rating crowdsourced annotations: evaluating contributions of variable quality and completeness

Giles M. Foody, G. Foody, 2014, Int. J. Digit. Earth.

Using mixed objects in the training of object-based image classifications

Giles M. Foody, Doreen S. Boyd, Hugo Costa, 2017 .

Status of land cover classification accuracy assessment

Giles M. Foody, G. Foody, 2002 .

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

Giles M. Foody, Lihui Wang, Xiaodong Li, 2017, Remote. Sens..

GIS: the accuracy of spatial data revisited

Giles M. Foody, G. Foody, 2001 .

Uncertainty in Remote Sensing and GIS: Foody/Uncertainty in Remote Sensing and GIS

Giles M. Foody, Peter M. Atkinson, P. Atkinson, 2006 .

Issues in training SVM classifications

Giles M. Foody, Doreen S. Boyd, Carolina Sanchez-Hernandez, 2006, SPIE Remote Sensing.

Impacts of Species Misidentification on Species Distribution Modeling with Presence-Only Data

Giles M. Foody, Luís Silva, Hugo Costa, 2015, ISPRS Int. J. Geo Inf..

Uncertainty in ecosystem mapping by remote sensing

Madhur Anand, Markus Metz, Markus Neteler, 2013, Comput. Geosci..

On the compensation for chance agreement in image classification accuracy assessment, Photogram

Giles M. Foody, G. Foody, 1992 .

Increasing the Accuracy of Crowdsourced Information on Land Cover via a Voting Procedure Weighted by Information Inferred from the Contributed Data

Steffen Fritz, Christian Schill, Christoph Perger, 2018, ISPRS Int. J. Geo Inf..

Spatial–Temporal Super-Resolution Land Cover Mapping With a Local Spatial–Temporal Dependence Model

Xiaodong Li, Giles M. Foody, Yun Du, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Introduction — Spatially Distributed Dynamic Modelling

Stephen E. Darby, Giles M. Foody, Fulong Wu, 2004 .

Trading-off location accuracy and service quality: Privacy concerns and user profiles

Giles M. Foody, Anahid Bassiri, Zoe Gardner, 2017, 2017 International Conference on Localization and GNSS (ICL-GNSS).

Training set size requirements for the classification of a specific class

Giles M. Foody, Doreen S. Boyd, Ajay Mathur, 2006 .

Toward intelligent training of supervised image classifications: directing training data acquisition for SVM classification

Giles M. Foody, Ajay Mathur, G. Foody, 2004 .

Evaluation of Envisat MERIS Terrestrial Chlorophyll Index-Based Models for the Estimation of Terrestrial Gross Primary Productivity

Giles M. Foody, Doreen S. Boyd, Paul J. Curran, 2012, IEEE Geoscience and Remote Sensing Letters.

VGI QUALITY CONTROL

Lucy Bastin, Giles M. Foody, Linda See, 2015 .

Thematic labelling from hyperspectral remotely sensed imagery: trade-offs in image properties

Giles M. Foody, Peter M. Atkinson, J. W. Williams, 2004 .

Impact of Land Cover Patch Size on the Accuracy of Patch Area Representation in HNN-Based Super Resolution Mapping

Giles M. Foody, Anuar M. Muad, 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Pattern Recognition and Classification of Remotely Sensed Images by Artificial Neural Networks

Giles M. Foody, G. Foody, 2006 .

Remote sensing of biodiversity: using neural networks to estimate the diversity and composition of a Bornean tropical rainforest from Landsat TM data

Giles M. Foody, Mark E. Cutler, 2002, IEEE International Geoscience and Remote Sensing Symposium.

AN ASSESSMENT OF CITIZEN CONTRIBUTED GROUND REFERENCE DATA FOR LAND COVER MAP ACCURACY ASSESSMENT

Giles M. Foody, G. Foody, 2015 .

Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information

Bin Jiang, Steffen Fritz, Lucy Bastin, 2016, ISPRS Int. J. Geo Inf..

Crop classification by support vector machine with intelligently selected training data for an operational application

Giles M. Foody, Ajay Mathur, G. Foody, 2008 .

Data and Metadata Management for Better VGI Reusability

Giles M. Foody, Linda See, Cidália Costa Fonte, 2017 .

Impacts of Noise on the Accuracy of Hyperspectral Image Classification by SVM

Peijun Du, Giles M. Foody, Kun Tan, 2008 .

Calculating landscape diversity with information-theory based indices: A GRASS GIS solution

Markus Neteler, Giles M. Foody, Duccio Rocchini, 2013, Ecol. Informatics.

Impacts of sample design for validation data on the accuracy of feedforward neural network classification

Giles M. Foody, G. Foody, 2017 .

Increasing soft classification accuracy through the use of an ensemble of classifiers

Giles M. Foody, Thi Xuan Huong Doan, G. Foody, 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

A relative evaluation of multiclass image classification by support vector machines

Giles M. Foody, Ajay Mathur, G. Foody, 2004, IEEE Transactions on Geoscience and Remote Sensing.

Mapping a specific class for priority habitats monitoring from satellite sensor data

Giles M. Foody, Doreen S. Boyd, Carolina Sanchez-Hernandez, 2006 .

Super-resolution analysis for accurate mapping of land cover and land cover pattern

Giles M. Foody, Anuar M. Muad, A. M. Muad, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

RVM‐based multi‐class classification of remotely sensed data

Giles M. Foody, G. M. Foody, 2008 .

The effect of training set size and composition on artificial neural network classification

Giles M. Foody, W. B. Yates, M. B. McCULLOCH, 1995 .

Evaluation of SVM, RVM and SMLR for Accurate Image Classification With Limited Ground Data

Giles M. Foody, Mahesh Pal, G. Foody, 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Training pattern replication and weighted class allocation in artificial neural network classification

Giles M. Foody, G. Foody, 1995, Neural Computing & Applications.

Spatial-temporal fraction map fusion with multi-scale remotely sensed images

Giles M. Foody, Peter M. Atkinson, Xiaodong Li, 2018, Remote Sensing of Environment.

EXPLICITLY ACCOUNTING FOR UNCERTAINTY IN CROWDSOURCED DATA FOR SPECIES DISTRIBUTION MODELLING

Markus Neteler, Giles M. Foody, Alexis J. Comber, 2015 .

Editorial: Ecological applications of remote sensing and GIS

Giles M. Foody, G. Foody, 2007, Ecol. Informatics.

Using volunteered data in land cover map validation: Mapping tropical forests across West Africa

Giles M. Foody, Doreen S. Boyd, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

Earth Observation and Machine Learning to Meet Sustainable Development Goal 8.7: Mapping Sites Associated with Slavery from Space

Giles M. Foody, Doreen S. Boyd, Jessica Wardlaw, 2019, Remote. Sens..

Superresolution Land Cover Mapping Using a Generative Adversarial Network

Giles M. Foody, Xiaodong Li, Yun Du, 2020 .

Detection of Spatial and Temporal Patterns of Liana Infestation Using Satellite-Derived Imagery

Giles M. Foody, Doreen S. Boyd, Chris J. Chandler, 2021, Remote. Sens..

Comparison of Simple Averaging and Latent Class Modeling to Estimate the Area of Land Cover in the Presence of Reference Data Variability

Giles M. Foody, Stephen V. Stehman, Bruce W. Pengra, 2021, Land.

Object-Based Area-to-Point Regression Kriging for Pansharpening

Giles M. Foody, Peter M. Atkinson, Yong Ge, 2020, IEEE Transactions on Geoscience and Remote Sensing.

Scrutinizing Relationships between Submarine Groundwater Discharge and Upstream Areas Using Thermal Remote Sensing: A Case Study in the Northern Persian Gulf

Giles M. Foody, Assefa M. Melesse, Omid Rahmati, 2021, Remote. Sens..

Impacts of ignorance on the accuracy of image classification and thematic mapping

Giles M. Foody, G. Foody, 2021, Remote Sensing of Environment.

Developing A System to Map and Monitor Beached Sargassum on the Caribbean Coast of Mexico

Giles M. Foody, Doreen S. Boyd, Sofie Sjögersten, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

Mapping the biomass of Bornean tropical rain forest from remotely sensed data

Giles M. Foody, Doreen S. Boyd, Mark Cutler, 2001 .

Uncertainty, knowledge discovery and data mining in GIS

Giles M. Foody, G. Foody, 2003 .

Valuing map validation: The need for rigorous land cover map accuracy assessment in economic valuations of ecosystem services

Giles M. Foody, G. Foody, 2015 .

Sectoring radar images to improve land cover map accuracy

Giles M. Foody, G. Foody, 1984 .

Analysis and representation of vegetation continua from Landsat Thematic Mapper data for lowland heaths

Giles M. Foody, G. Foody, T. F. Wood, 1989 .

Coupling remotely sensed data to an ecosystem simulation model - an example involving a coniferous plantation in upland Wales

Giles M. Foody, Paul J. Curran, P. Curran, 1996 .

The impact of imperfect ground reference data on the accuracy of land cover change estimation

Giles M. Foody, G. Foody, 2009 .

Mapping annual forest cover by fusing PALSAR/PALSAR-2 and MODIS NDVI during 2007–2016

Giles M. Foody, Doreen S. Boyd, Peter M. Atkinson, 2019, Remote Sensing of Environment.

Relationship between green leaf biomass volumetric density and ERS-2 SAR backscatter of four vegetation formations in the semi-arid zone of Israel

Giles M. Foody, Tal Svoray, Paul J. Curran, 2001 .

Remote Sensing of Soils and Vegetation in the USSR

Giles M. Foody, Paul J. Curran, K. Ya. Kondratyev, 1990 .

The effects of viewing geometry on image classification

Giles M. Foody, G. Foody, 1988 .

Land-Cover Mapping from Synthetic Aperture Radar: The Importance of Radiometric Correction

Giles M. Foody, Paul J. Curran, P. Curran, 1986 .

Assessing the ground data requirements for regional scale remote sensing of tropical forest biophysical properties

Giles M. Foody, Doreen S. Boyd, Peter M. Atkinson, 2000 .

Semantic analysis of Citizen Sensing, Crowdsourcing and VGI

Giles M. Foody, Sven Schade, Linda See, 2014 .

Hard and soft classifications by a neural network with a non-exhaustively defined set of classes

Giles M. Foody, G. Foody, 2002 .

Observations on the relationship between SIR-C radar backscatter and the biomass of regenerating tropical forests

Giles M. Foody, Paul J. Curran, M. Honzak, 1997 .

GIS: health applications

Giles M. Foody, G. Foody, G. M. Foody, 2006 .

Log-linear modelling for the evaluation of the variables affecting the accuracy of probabilistic, fuzzy and neural network classifications

Giles M. Foody, Manoj K. Arora, G. Foody, 1997 .

Potential Improvements in the Characterization of Forest Canopy Gaps Caused by Windthrow Using Fine Spatial Resolution Multispectral Data: Comparing Hard and Soft Classification Techniques

Giles M. Foody, Christopher P. Quine, G. Foody, 2003, Forest Science.

Evaluation of approaches for forest cover estimation in the Pacific Northwest, USA, using remote sensing

Giles M. Foody, Doreen S. Boyd, G. Foody, 2002 .

Deriving thematic uncertainty measures in remote sensing using classification outputs

Giles M. Foody, Peter M. Atkinson, Kyle M. Brown, 2006 .

Improving super-resolution mapping through combining multiple super-resolution land-cover maps

Giles M. Foody, Feng Ling, Xiaodong Li, 2016 .

Environmental Remote Sensing From Regional to Global Scales

Giles M. Foody, Paul J. Curran, 2013 .

Spatial nonstationarity and scale-dependency in the relationship between species richness and environmental determinants for the sub-Saharan endemic avifauna

Giles M. Foody, G. Foody, 2004 .

Representation of ecological trends in remotely sensed data: Relating the probability of class membership to canopy composition and a vegetation ordination

Giles M. Foody, G. Foody, N. Trodd, 1996 .

Tree biodiversity in protected and logged Bornean tropical rain forests and its measurement by satellite remote sensing

Giles M. Foody, Mark Cutler, G. Foody, 2003 .

Scaling-up : from cell to landscape

P. R. van Gardingen, Giles M. Foody, Paul J. Curran, 1997 .

The relationship between the biomass of Cameroonian tropical forests and radiation reflected in middle infrared wavelengths (3.0-5.0 mu m)

Giles M. Foody, Doreen S. Boyd, Paul J. Curran, 1999 .

Crop classification from airborne synthetic aperture radar data

Giles M. Foody, G. Foody, 1988 .

An Assessment of the Topographic Effects on Sar Image Tone

Giles M. Foody, 1986 .

DEM and bathymetry estimation for mapping a tide‐coordinated shoreline from fine spatial resolution satellite sensor imagery

Giles M. Foody, Aidy M. Muslim, G. Foody, 2008 .

Detection of partial land cover change associated with the migration of inter-class transitional zones

Giles M. Foody, Doreen S. Boyd, G. Foody, 1999 .

Separability of tropical rain-forest types in the Tambopata-Candamo Reserved Zone, Peru

Giles M. Foody, Ross A. Hill, G. Foody, 1994 .

Characterising windthrown gaps from fine spatial resolution remotely sensed data

Giles M. Foody, Christopher P. Quine, G. Foody, 2000 .

Estimation of the Areal Extent of Land Cover Classes that Only Occur at a Sub-Pixel Level

Giles M. Foody, Paul J. Curran, Richard Lucas, 1996 .

Remote sensing of tropical forest environments: Towards the monitoring of environmental resources for sustainable development

Giles M. Foody, G. Foody, G. M. Foody, 2003 .

Enhancing the role of citizen sensors in mapping: COST action TD1202

Glen Hart, Steffen Fritz, Giles M. Foody, 2014, GIScience 2014.

GIS: stressing the geographical

Giles M. Foody, G. Foody, 2004 .

The science of scaling: a perspective on future challenges.

P. R. van Gardingen, Giles M. Foody, Paul J. Curran, 1997 .

Remote sensing of terrestrial chlorophyll content

Giles M. Foody, Paul J. Curran, Jadunandan Dash, 2009 .

Introduction — Urban Simulation

Stephen E. Darby, Giles M. Foody, Peter M. Atkinson, 2004 .

An assessment of radiance in Landsat TM middle and thermal infrared wavebands for the detection of tropical forest regeneration

Giles M. Foody, Doreen S. Boyd, Paul J. Curran, 1996 .

Geostatistically estimated image noise is a function of variance in the underlying signal

Giles M. Foody, Peter M. Atkinson, Arnis Asmat, 2010 .

Relations between tropical forest biophysical properties and data acquired in AVHRR channels 1–5

Giles M. Foody, Doreen S. Boyd, Paul J. Curran, 1996 .

Changing land cover

Giles M. Foody, Doreen S. Boyd, G. Foody, 2004 .

Estimation of tropical forest extent and regenerative stage using remotely sensed data

Giles M. Foody, Paul J. Curran, P. Curran, 1994 .

Spotlight On. Volunteered Geographic Information

Giles M. Foody, Doreen S. Boyd, G. Foody, 2014 .

Non-classificatory analysis and representation of heathland vegetation from remotely sensed imagery

Giles M. Foody, Nigel M. Trodd, 1993 .

Ground reference data error and the mis-estimation of the area of land cover change as a function of its abundance

Giles M. Foody, G. Foody, 2013 .

Map comparison in GIS

Giles M. Foody, G. Foody, 2007 .

Crop classification from C-band polarimetric radar data

Giles M. Foody, W. B. Yates, M. B. McCULLOCH, 1994 .

Uncertainty in Remote Sensing and GIS: Fundamentals

Giles M. Foody, Peter M. Atkinson, P. Atkinson, 2006 .

REMOTE SENSING OF BARLEY STRESSED WITH CO2 AND HERBICIDE

Giles M. Foody, Michael D. Steven, M. Steven, 2011 .

Using pure and mixed objects in the training of object-based image classifications

Giles M. Foody, Doreen S. Boyd, Hugo Costa, 2016 .

Mapping despoiled land cover from Landsat thematic mapper imagery

Giles M. Foody, G. Foody, M. R. Embashi, 1995 .

Book Review: Computer processing of remotely-sensed images. An introduction (third edition)

Giles M. Foody, 2005 .

Mapping and the Citizen Sensor

Steffen Fritz, Giles M. Foody, Linda See, 2017 .

Exploring the potential role of volunteer citizen sensors in land cover map accuracy assessment

Giles M. Foody, Doreen S. Boyd, G. Foody, 2012 .

The SAGE Handbook of Remote Sensing

Timothy A. Warner, Giles M. Foody, G. Foody, 2009 .

Shoreline Mapping from Coarse–Spatial Resolution Remote Sensing Imagery of Seberang Takir, Malaysia

Giles M. Foody, Peter M. Atkinson, P. Atkinson, 2007 .

Integrating User Needs on Misclassification Error Sensitivity into Image Segmentation Quality Assessment

Giles M. Foody, Doreen S. Boyd, Hugo Costa, 2015 .

Spatial non-stationarity in the relationships between land cover and surface temperature in an urban heat island and its impacts on thermally sensitive populations

Giles M. Foody, Yuan-Fong Su, Ke-Sheng Cheng, 2012 .

Super-resolution mapping of the shoreline through soft classification analyses

Giles M. Foody, Peter M. Atkinson, Aidy M. Muslim, 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

Forest regeneration on abandoned clearances in central Amazonia

Giles M. Foody, Paul J. Curran, Richard Lucas, 2002 .

Land cover classification using multi‐temporal MERIS vegetation indices

Giles M. Foody, Paul J. Curran, Ajay Mathur, 2007 .

Mapping tropical forest fractional cover from coarse spatial resolution remote sensing imagery

Giles M. Foody, Paul J. Curran, M. Honzak, 1997, Plant Ecology.

Enhancing the spatial resolution of satellite-derived land surface temperature mapping for urban areas

Giles M. Foody, Paul Aplin, Simon N. Gosling, 2015 .