{"id":137,"date":"2019-10-03T16:33:26","date_gmt":"2019-10-03T22:33:26","guid":{"rendered":"https:\/\/wpsites.ucalgary.ca\/geovation\/?page_id=137"},"modified":"2019-11-04T00:06:55","modified_gmt":"2019-11-04T06:06:55","slug":"publications","status":"publish","type":"page","link":"https:\/\/wpsites.ucalgary.ca\/geovation\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"\n

Refereed Journals<\/strong> (* – with PDFs\/RAs, ^ – with Grad Students). Additional publications may be found <\/em>here<\/em><\/a>:<\/em><\/p>\n\n\n\n

  1. Griffith^, D.C.;\u00a0Hay, G. J.<\/strong> 2018.\u00a0Integrating GEOBIA, Machine Learning, and Volunteered Geographic Information to Map Vegetation over Rooftops.\u00a0ISPRS Int. J. Geo-Inf.<\/em>\u00a02018,\u00a07<\/em>, 462<\/a><\/li>
  2. Chen, G., Weng, Q.,\u00a0Hay, G. J<\/strong>., and He, Y. (2018).\u00a0Geographic Object-based Image Analysis (GEOBIA): Emerging trends and future opportunities.\u00a0GIScience & Remote Sensing<\/em>. Vol 55, Issue 2, pp 159-182. March<\/li>
  3. Sims, A.W., Robinson, C.E., Smart, C.C., Voogt, J.A.,\u00a0Hay, G. J<\/strong>., Lundholm, J.T., Powers B. and O\u2019Carroll, D.M., 2016. Retention Performance of Green Roofs in Three Different Climate Regions, Journal of Hydrology.\u00a0Volume 542<\/a>,\u00a0November, Pages 115-124. DOI: 10.1016\/j.jhydrol.2016.08.055.<\/li>
  4. Rahman^, M. M.,\u00a0Hay, G. J.<\/strong>, Couloigner*<\/sup>, I., Hemachandaran^, B., Bailin, J. 2015. A comparison of four relative radiometric normalization (RRN) techniques for mosaicking H-res multi-temporal thermal infrared (TIR) flight-lines of a complex urban scene (PHOTO-D-14-00266). The ISPRS Journal of Photogrammetry and Remote Sensing Volume 106, August 2015, Pages 82\u201394. (http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0924271615001392<\/a>).<\/li>
  5. Rahman^, M. M.,\u00a0Hay, G. J.<\/strong>, Couloigner*, I., Hemachandaran^, B., Bailin, J. 2014. An assessment of polynomial regression techniques for the relative radiometric normalization (RRN) of high resolution multi-temporal airborne thermal infrared (TIR) imagery. Remote Sensing Special Issue (ISSN 2072-4292): Recent Advances in Thermal Infrared Remote Sensing Remote Sens. 2014,\u00a06(12), 11810-11828<\/a>; doi:10.3390\/rs61211810.<\/li>
  6. Rahman^, M. M.,\u00a0Hay, G. J.,<\/strong>\u00a0Couloigner*<\/sup>\u00a0I., Hemachandaran^, B. Transforming image-objects into multiscale fields: A GEOBIA Approach to Mitigate Urban Microclimatic Variability within H-Res Thermal Infrared Airborne Flight-Lines. Remote Sens. 2014, 6, 9435-9457 (http:\/\/www.mdpi.com\/2072-4292\/6\/10\/9435<\/a>)<\/li>
  7. Abdulkarim^, B; Kamberov^, R;\u00a0Hay, G. J.<\/strong>\u00a02014. “Supporting Urban Energy Efficiency with Volunteered Roof Information and the Google Maps API.” Remote Sens. 6, no. 10: 9691-9711. (http:\/\/www.mdpi.com\/2072-4292\/6\/10\/9691<\/a>)<\/li>
  8. Rahman^, M. M.,\u00a0Hay, G. J.<\/strong>, Couloigner*, I., Hemachandaran^, B., Bailin, J. 2014. A comparison of four relative radiometric normalization (RRN) techniques for mosaicking H-res multi-temporal thermal infrared (TIR) flight-lines of a complex urban scene (PHOTO-D-14-00266). The ISPRS Journal of Photogrammetry and Remote Sensing [Accepted with revisions on August 27, 2014].\u00a0 pp. 41<\/li>
  9. Blaschke, T.,\u00a0G. J. Hay<\/strong>, K. Maggi, S. Lang, P. Hofmann, E. Addink; R.Q. Feitosa, F. V.D. Meer,\u00a0 H.V.D. Werff, F.V.Coillie, 2014. Geographic Object-Based Image Analysis, towards a new paradigm. ISPRS Journal of Photogrammetry and Remote Sensing. Volume 87, January 2014, Pages 180-191. DOI:10.1016\/j.isprsjprs.2013.09.014<\/li>
  10. Rahman^, M.\u00a0M,\u00a0G.\u00a0J. Hay<\/strong>, I.\u00a0Couloigner*, B.\u00a0Hemachandran^,\u00a0J.\u00a0Bailin, Y. Zhang^\u00a0and\u00a0A.\u00a0Tam. 2012.\u00a0Geographic Object-Based Mosaicing (OBM) of High-Resolution Thermal Airborne Imagery (TABI-1800) to Improve the Interpretation of Urban Image-Objects. IEEE Geoscience and Remote Sensing Letters – (GEOBIA 2012 Special Issue) Vol 10, NO. 4, July. 918-922.<\/li>
  11. Chen^, G.,\u00a0Hay, G. J.<\/strong>, Carvalho*, L.M.T., and Wulder, M. 2012.\u00a0Object Based Change Detection<\/a>.\u00a0International Journal of Remote Sensing<\/em>. Vol.33, No.14, 4434-4457.\u00a0<\/li>
  12. Powers^, R.,\u00a0G. J. Hay<\/strong>, G. Chen^. 2012.\u00a0How wetland type and area differ through scale: A case study of Alberta’s Boreal Plains.<\/a>\u00a0Remote Sensing of Environment<\/em>. volume 117, pp. 135 – 145.<\/li>
  13. Hay G. J.<\/strong>, Kyle^ C., Hemachandran^ B., Chen^ G., Rahman^ M.M., Fung T.S., Arvai J.L. 2011. “Geospatial Technologies to Improve Urban Energy Efficiency<\/a>.” Remote Sens. 3, no. 7: 1380-1405.<\/li>
  14. Blaschke, T.,\u00a0Hay, G. J.<\/strong>, Weng, Q., and Resch. B. 2011.\u00a0Collective Sensing: Integrating Geospatial Technologies to Understand Urban Systems: An Overview<\/a>\u00a0Remote Sens. 3, no. 7. 1743-1776.\u00a0<\/li>
  15. Chen^, G. and\u00a0G. J.<\/strong>\u00a0Hay<\/strong>, 2011.\u00a0An airborne lidar sampling strategy to model forest canopy height from Quickbird imagery and GEOBIA<\/a>.\u00a0Remote Sensing of Environment<\/em>. 115: 1532-1542.<\/li>
  16. Chen^, G.,\u00a0Hay,\u00a0G. J.<\/strong>, and St-Onge, B. 2011.\u00a0A GEOBIA framework to estimate forest parameters from lidar transects, Quickbird imagery and machine learning: a case study in Quebec, Canada<\/a>.\u00a0International Journal of Applied Earth Observation and Geoinformation<\/em>. In Press. Corrected Proof Available online 14 June, 2011, DOI:10.1016\/j.jag.2011.05.010.<\/li>
  17. Chen^, G., K. Zhao, G. J. McDermid and\u00a0G. J. Hay<\/strong>\u00a0(2011).\u00a0The influence of sampling density on geographically weighted regression: a case study using forest canopy height and optical data<\/a>.\u00a0International Journal of Remote Sensing<\/em>. Accepted 26 March. TRES-PAP-2010-0686. In Press.<\/li>
  18. Chen^, G.,\u00a0Hay, G. J.,<\/strong>\u00a0Castilla*, G., St-Onge, B., and Powers, R. 2011.\u00a0A multiscale geographic object-based image analysis (GEOBIA) to estimate lidar-measured forest canopy height using Quickbird imagery<\/a>.\u00a0International Journal of Geographic Information Science<\/em>, 25:877-893.<\/li>
  19. Chen^, G. and\u00a0G. J.<\/strong>\u00a0Hay<\/strong>. 2011.A support vector regression approach to estimate forest biophysical parameters at the object level using airborne lidar transects and Quickbird data<\/a>.\u00a0Photogrammetric Engineering and Remote Sensing<\/em>, 77: 733-741.<\/li>
  20. Hay\u00a0G. J.<\/strong>\u00a0and Blaschke, T. 2010.\u00a0Forward: Special Issue on Geographic Object-Based Image Analysis (GEOBIA)<\/a>,\u00a0Photogrammetric Engineering and Remote Sensing. Vol. 76, No 2, February, pp.<\/em>\u00a0121-122.<\/li>
  21. Steiniger*, S., and\u00a0G. J. Hay<\/strong>, 2009.\u00a0Free and Open Source Geographic Information Tools for Landscape Ecology: A Review.<\/a>\u00a0Ecological Informatics<\/em>. Volume 4, Issue 4, September. pp 183-195.<\/li>
  22. Castilla*, G., R. Guthrie and\u00a0G. J. Hay<\/strong>. 2009.\u00a0The Landcover Change Mapper (LCM) and its applications to timber harvest monitoring in Western Canada<\/a>. Special Issue on Landcover Change Detection for\u00a0Photogrammetric Engineering & Remote Sensing<\/em>, Vol. 75, No 8. pp 941-950.<\/li>
  23. Ben-Arie^, J.R,\u00a0G. J. Hay<\/strong>., R.P. Powers^, G. Castilla*, B. St-Onge. 2009.\u00a0Development of a Pit Filling Algorithm for LiDAR Canopy Height Models<\/a>.\u00a0Computers & Geosciences<\/em>. Volume 35, Issue 9. pp 1940-1949.<\/li>
  24. Castilla, G*., K. Larkin^, J. Linke and\u00a0G. J. Hay,<\/strong>\u00a02009.\u00a0The impact of thematic resolution on the patch-mosaic model of natural landscapes<\/a>. Landscape Ecology Vol 24: p 15-23<\/li>
  25. Castilla, G*,\u00a0G. J., Hay<\/strong>\u00a0and J. R., Ruiz. 2008.\u00a0Size-constrained Region Merging (SCRM): An Automated Delineation Tool for Assisted Photointerpretation<\/a>. Photogrammetric Engineering & Remote Sensing. Vol.74, No.4. April. pp 409-419.<\/li>
  26. Wulder, M.A., J.C. White,\u00a0G. J. Hay<\/strong>, and G. Castilla*, 2008.\u00a0Towards automated segmentation of forest inventory polygons on high spatial resolution satellite imagery<\/a>\u00a0, The Forestry Chronicle. Vol. 84, No. 2, pp. 221- 230.<\/li>
  27. Castilla, G* and\u00a0G. J. Hay<\/strong>, 2006.\u00a0Uncertainties in land use data<\/a>. Hydrology and Earth System Sciences Discussions. Vol 3. pp 3439-3472.<\/li>
  28. Hay, G. J.,<\/strong>\u00a02005.\u00a0Bridging Scales and Epistemologies: An Introduction<\/a>. International Journal of Applied Earth Observation and Geoinformation. Vol 7. pp.249-252.<\/li>
  29. Hay, G. J.,<\/strong>\u00a0G., Castilla*, M. A. Wulder and J. R. Ruiz. 2005.\u00a0An automated object-based approach for the multiscale image segmentation of forest scenes<\/a>. International Journal of Applied Earth Observation and Geoinformation. Vol 7, pp. 339-359.<\/li>
  30. Stewart, S. A.,\u00a0G. J. Hay<\/strong>, P. L. Rosin and T .J. Wynn. 2004.\u00a0Multiscale Structure in Sedimentary Basins.<\/a>\u00a0Journal of Basin Research, Vol 16, 183-197.<\/li>
  31. Hall, O.,\u00a0G. J. Hay<\/strong>, A. Bouchard, and D. J. Marceau, 2004.\u00a0Detecting dominant landscape objects through multiple scales: An integration of object-specific methods and watershed segmentation<\/a>. Landscape Ecology, Vol. 19, No. 1: 59-76.<\/li>
  32. Hall, O.,\u00a0G. J. Hay<\/strong>, 2003.\u00a0A Multiscale Object-specific Approach to Digital Change Detection<\/a>. International Journal of Applied Earth Observation and Geoinformation, Vol. 4\/4: 311-327.<\/li>
  33. Hay, G. J.,<\/strong>\u00a0T. Blaschke, D. J. Marceau, and A. Bouchard, 2003.\u00a0A comparison of three image-object methods for the multiscale analysis of landscape structure<\/a>. ISPRS Journal of Photogrammetry and Remote Sensing, Volume 57, Issues 5-6, April 2003, Pages 327-345. Vol 57. 327-345.<\/li>
  34. Hay, G. J.<\/strong>, P. Dube, A. Bouchard, and D. J. Marceau, 2002.\u00a0A Scale-Space Primer for Exploring and Quantifying Complex Landscapes.<\/a>\u00a0Ecological Modelling. Vol. 153, No. 1-2: 27- 49.<\/li>
  35. Hay, G. J.<\/strong>, D. J. Marceau, P. Dube, and A. Bouchard, 2001.\u00a0A Multiscale Framework for Landscape Analysis: Object-Specific Analysis and Upscaling.<\/a>\u00a0Landscape Ecology. Vol.16, No.6: 471 – 490.<\/li>
  36. D.J. Marceau, and\u00a0G. J. Hay<\/strong>, 1999.\u00a0Remote Sensing Contributions to the Scale Issue<\/a>, Canadian Journal of Remote Sens. Vol 25, No. 4: 357-366.<\/li>
  37. D.J. Marceau, and\u00a0G. J. Hay<\/strong>, 1999.\u00a0Scaling and Modelling in Forestry: Applications in Remote Sensing and GIS<\/a>. Canadian Journal of Remote Sens. Vol 25, No.4: 342-346.<\/li>
  38. Hay, G. J.<\/strong>, K. O. Niemann, and D. G. Goodenough, 1997.\u00a0Spatial Thresholds, Image-Objects and Upscaling: A Multi-Scale Evaluation.<\/a>\u00a0Remote Sensing of Environment, 62: 1-19.<\/li>
  39. Hay, G. J.<\/strong>, K. O. Niemann, and G. McLean, 1996.\u00a0An Object-Specific Image-Texture Analysis of H-Resolution Forest Imagery.<\/a>\u00a0Remote Sensing of Environment, 55: 108-122.<\/li>
  40. Hay, G. J.<\/strong>, and K. O. Niemann, 1994.\u00a0Visualizing 3-D Texture: A Three Dimensional Structural Approach to Model Forest Texture.\u00a0(Cover Article) Canadian Journal of Remote Sens. Vol. 20, No.2, pp. 90-101.<\/li><\/ol>\n","protected":false},"excerpt":{"rendered":"

    Refereed Journals (* – with PDFs\/RAs, ^ – with Grad Students). Additional publications may be found here: Griffith^, D.C.;\u00a0Hay, G. J. 2018.\u00a0Integrating GEOBIA, Machine Learning, and Volunteered Geographic Information to Map Vegetation over Rooftops.\u00a0ISPRS Int. J. Geo-Inf.\u00a02018,\u00a07, 462 Chen, G., Weng, Q.,\u00a0Hay, G. J., and He, Y. (2018).\u00a0Geographic Object-based Image Analysis (GEOBIA): …<\/p>\n","protected":false},"author":49,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"ngg_post_thumbnail":0,"footnotes":""},"class_list":["post-137","page","type-page","status-publish","hentry"],"featured_image_src":null,"featured_image_src_square":null,"_links":{"self":[{"href":"https:\/\/wpsites.ucalgary.ca\/geovation\/wp-json\/wp\/v2\/pages\/137","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wpsites.ucalgary.ca\/geovation\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wpsites.ucalgary.ca\/geovation\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wpsites.ucalgary.ca\/geovation\/wp-json\/wp\/v2\/users\/49"}],"replies":[{"embeddable":true,"href":"https:\/\/wpsites.ucalgary.ca\/geovation\/wp-json\/wp\/v2\/comments?post=137"}],"version-history":[{"count":9,"href":"https:\/\/wpsites.ucalgary.ca\/geovation\/wp-json\/wp\/v2\/pages\/137\/revisions"}],"predecessor-version":[{"id":1418,"href":"https:\/\/wpsites.ucalgary.ca\/geovation\/wp-json\/wp\/v2\/pages\/137\/revisions\/1418"}],"wp:attachment":[{"href":"https:\/\/wpsites.ucalgary.ca\/geovation\/wp-json\/wp\/v2\/media?parent=137"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}