Geoffrey J. Hay

Publication Activity (10 Years)

Years Active: 2009-2020
Publications (10 Years): 3

Top Topics

Polynomial Regression

Geographic Locations

Top Venues

ISPRS Int. J. Geo Inf.

IEEE Geosci. Remote. Sens. Lett.

Int. J. Appl. Earth Obs. Geoinformation

Publications

Maja Kucharczyk, Geoffrey J. Hay, Salar Ghaffarian, Chris H. Hugenholtz
Geographic Object-Based Image Analysis: A Primer and Future Directions. Remote. Sens. 12 (12) (2020)
Stefan Lang, Geoffrey J. Hay, Andrea Baraldi, Dirk Tiede, Thomas Blaschke
Geobia Achievements and Spatial Opportunities in the Era of Big Earth Observation Data. ISPRS Int. J. Geo Inf. 8 (11) (2019)
David C. Griffith, Geoffrey J. Hay
Integrating GEOBIA, Machine Learning, and Volunteered Geographic Information to Map Vegetation over Rooftops. ISPRS Int. J. Geo Inf. 7 (12) (2018)
Bilal Abdulkarim, Rustam Kamberov, Geoffrey J. Hay
Supporting Urban Energy Efficiency with Volunteered Roof Information and the Google Maps API. Remote. Sens. 6 (10) (2014)
Mir Mustafizur Rahman, Geoffrey J. Hay, Isabelle Couloigner, Bharanidharan Hemachandran
Transforming Image-Objects into Multiscale Fields: A GEOBIA Approach to Mitigate Urban Microclimatic Variability within H-Res Thermal Infrared Airborne Flight-Lines. Remote. Sens. 6 (10) (2014)
Mir Mustafizur Rahman, Geoffrey J. Hay, Isabelle Couloigner, Bharanidharan Hemachandran, Jeremy Bailin
An Assessment of Polynomial Regression Techniques for the Relative Radiometric Normalization (RRN) of High-Resolution Multi-Temporal Airborne Thermal Infrared (TIR) Imagery. Remote. Sens. 6 (12) (2014)
Mir Mustafizur Rahman, Geoffrey J. Hay, Isabelle Couloigner, Bharanidharan Hemachandran, Jeremy Bailin, Yilong Zhang, Ashley Tam
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. 10 (4) (2013)
Gang Chen, Geoffrey J. Hay, Benoît St-Onge
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 15 (2012)
Gang Chen, Geoffrey J. Hay, Guillermo Castilla, Benoît St-Onge, Ryan Powers
A multiscale geographic object-based image analysis to estimate lidar-measured forest canopy height using Quickbird imagery. Int. J. Geogr. Inf. Sci. 25 (6) (2011)
Geoffrey J. Hay, Christopher Kyle, Bharanidharan Hemachandran, Gang Chen, Mir Mustafizur Rahman, Tak S. Fung, Joseph L. Arvai
Geospatial Technologies to Improve Urban Energy Efficiency. Remote. Sens. 3 (7) (2011)
Thomas Blaschke, Geoffrey J. Hay, Qihao Weng, Bernd Resch
Collective Sensing: Integrating Geospatial Technologies to Understand Urban Systems - An Overview. Remote. Sens. 3 (8) (2011)
Gang Chen, Geoffrey J. Hay, Yanlian Zhou
Estimation of forest height, biomass and volume using support vector regression and segmentation from lidar transects and Quickbird imagery. Geoinformatics (2010)
Joshua R. Ben-Arie, Geoffrey J. Hay, Ryan Powers, Guillermo Castilla, Benoît St-Onge
Development of a pit filling algorithm for LiDAR canopy height models. Comput. Geosci. 35 (9) (2009)
Stefan Steiniger, Geoffrey J. Hay
Free and open source geographic information tools for landscape ecology. Ecol. Informatics 4 (4) (2009)