Geoffrey J. Hay

14 papers Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2020 J jnl
Geographic Object-Based Image Analysis: A Primer and Future Directions.
Remote. Sens.
Maja Kucharczyk, Geoffrey J. Hay, Salar Ghaffarian, Chris H. Hugenholtz
2019 J jnl
Geobia Achievements and Spatial Opportunities in the Era of Big Earth Observation Data.
ISPRS Int. J. Geo Inf.
Stefan Lang, Geoffrey J. Hay, Andrea Baraldi, Dirk Tiede, Thomas Blaschke
2018 J jnl
Integrating GEOBIA, Machine Learning, and Volunteered Geographic Information to Map Vegetation over Rooftops.
ISPRS Int. J. Geo Inf.
David C. Griffith, Geoffrey J. Hay
2014 J jnl
An Assessment of Polynomial Regression Techniques for the Relative Radiometric Normalization (RRN) of High-Resolution Multi-Temporal Airborne Thermal Infrared (TIR) Imagery.
Remote. Sens.
Mir Mustafizur Rahman, Geoffrey J. Hay, Isabelle Couloigner, Bharanidharan Hemachandran, Jeremy Bailin
2014 J jnl
Supporting Urban Energy Efficiency with Volunteered Roof Information and the Google Maps API.
Remote. Sens.
Bilal Abdulkarim, Rustam Kamberov, Geoffrey J. Hay
2014 J jnl
Transforming Image-Objects into Multiscale Fields: A GEOBIA Approach to Mitigate Urban Microclimatic Variability within H-Res Thermal Infrared Airborne Flight-Lines.
Remote. Sens.
Mir Mustafizur Rahman, Geoffrey J. Hay, Isabelle Couloigner, Bharanidharan Hemachandran
2013 J jnl
Geographic Object-Based Mosaicing (OBM) of High-Resolution Thermal Airborne Imagery (TABI-1800) to Improve the Interpretation of Urban Image Objects.
IEEE Geosci. Remote. Sens. Lett.
Mir Mustafizur Rahman, Geoffrey J. Hay, Isabelle Couloigner, Bharanidharan Hemachandran, Jeremy Bailin, Yilong Zhang, Ashley Tam
2012 J jnl
A GEOBIA framework to estimate forest parameters from lidar transects, Quickbird imagery and machine learning: A case study in Quebec, Canada.
Int. J. Appl. Earth Obs. Geoinformation
Gang Chen, Geoffrey J. Hay, Benoît St-Onge
2011 J jnl
A multiscale geographic object-based image analysis to estimate lidar-measured forest canopy height using Quickbird imagery.
Int. J. Geogr. Inf. Sci.
Gang Chen, Geoffrey J. Hay, Guillermo Castilla, Benoît St-Onge, Ryan Powers
2011 J jnl
Collective Sensing: Integrating Geospatial Technologies to Understand Urban Systems - An Overview.
Remote. Sens.
Thomas Blaschke, Geoffrey J. Hay, Qihao Weng, Bernd Resch
2011 J jnl
Geospatial Technologies to Improve Urban Energy Efficiency.
Remote. Sens.
Geoffrey J. Hay, Christopher Kyle, Bharanidharan Hemachandran, Gang Chen, Mir Mustafizur Rahman, Tak S. Fung, Joseph L. Arvai
2010 — conf
Estimation of forest height, biomass and volume using support vector regression and segmentation from lidar transects and Quickbird imagery.
Geoinformatics
Gang Chen, Geoffrey J. Hay, Yanlian Zhou
2009 J jnl
Development of a pit filling algorithm for LiDAR canopy height models.
Comput. Geosci.
Joshua R. Ben-Arie, Geoffrey J. Hay, Ryan Powers, Guillermo Castilla, Benoît St-Onge
2009 J jnl
Free and open source geographic information tools for landscape ecology.
Ecol. Informatics
Stefan Steiniger, Geoffrey J. Hay