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Geoffrey J. Hay
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2020 – today
- 2020
- [j13]Maja Kucharczyk
, Geoffrey J. Hay, Salar Ghaffarian, Chris H. Hugenholtz:
Geographic Object-Based Image Analysis: A Primer and Future Directions. Remote. Sens. 12(12): 2012 (2020)
2010 – 2019
- 2019
- [j12]Stefan Lang
Geobia Achievements and Spatial Opportunities in the Era of Big Earth Observation Data. ISPRS Int. J. Geo Inf. 8(11): 474 (2019) - 2018
- [j11]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): 462 (2018) - 2014
- [j10]Mir Mustafizur Rahman
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): 9435-9457 (2014) - [j9]Bilal Abdulkarim, Rustam Kamberov, Geoffrey J. Hay:
Supporting Urban Energy Efficiency with Volunteered Roof Information and the Google Maps API. Remote. Sens. 6(10): 9691-9711 (2014) - [j8]Mir Mustafizur Rahman
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): 11810-11828 (2014) - 2013
- [j7]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): 918-922 (2013) - 2012
- [j6]Gang Chen
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: 28-37 (2012) - 2011
- [j5]Gang Chen
A multiscale geographic object-based image analysis to estimate lidar-measured forest canopy height using Quickbird imagery. Int. J. Geogr. Inf. Sci. 25(6): 877-893 (2011) - [j4]Geoffrey J. Hay, Christopher Kyle, Bharanidharan Hemachandran, Gang Chen
Geospatial Technologies to Improve Urban Energy Efficiency. Remote. Sens. 3(7): 1380-1405 (2011) - [j3]Thomas Blaschke
Collective Sensing: Integrating Geospatial Technologies to Understand Urban Systems - An Overview. Remote. Sens. 3(8): 1743-1776 (2011) - 2010
- [c1]Gang Chen
Estimation of forest height, biomass and volume using support vector regression and segmentation from lidar transects and Quickbird imagery. Geoinformatics 2010: 1-4
2000 – 2009
- 2009
- [j2]Stefan Steiniger
Free and open source geographic information tools for landscape ecology. Ecol. Informatics 4(4): 183-195 (2009) - [j1]Joshua R. Ben-Arie, Geoffrey J. Hay, Ryan Powers, Guillermo Castilla
Development of a pit filling algorithm for LiDAR canopy height models. Comput. Geosci. 35(9): 1940-1949 (2009)
Coauthor Index
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