| Geographic Object-Based Image Analysis (GEOBIA): A new name for a new discipline GJ Hay, G Castilla Object-based image analysis, 75-89, 2008 | 723 | 2008 |
| Object-based image analysis: spatial concepts for knowledge-driven remote sensing applications T Blaschke, S Lang, G Hay Springer Science & Business Media, 2008 | 492 | 2008 |
| An automated object-based approach for the multiscale image segmentation of forest scenes GJ Hay, G Castilla, MA Wulder, JR Ruiz International Journal of Applied Earth Observation and Geoinformation 7 (4 …, 2005 | 455 | 2005 |
| Object-based image analysis: strengths, weaknesses, opportunities and threats (SWOT) GJ Hay, G Castilla Proc. 1st Int. Conf. OBIA, 4-5, 2006 | 399 | 2006 |
| Image objects and geographic objects G Castilla, GJ Hay Object-based image analysis, 91-110, 2008 | 186 | 2008 |
| Development of a pit filling algorithm for LiDAR canopy height models JR Ben-Arie, GJ Hay, RP Powers, G Castilla, B St-Onge Computers & Geosciences 35 (9), 1940-1949, 2009 | 101 | 2009 |
| Size-constrained region merging (SCRM) G Castilla, GG Hay, JR Ruiz-Gallardo Photogrammetric Engineering & Remote Sensing 74 (4), 409-419, 2008 | 98 | 2008 |
| Towards automated segmentation of forest inventory polygons on high spatial resolution satellite imagery MA Wulder, JC White, GJ Hay, G Castilla The Forestry Chronicle 84 (2), 221-230, 2008 | 93 | 2008 |
| Remote sensing of forest pest damage: a review and lessons learned from a Canadian perspective RJ Hall, G Castilla, JC White, BJ Cooke, RS Skakun The Canadian Entomologist 148 (S1), S296-S356, 2016 | 89 | 2016 |
| Seismic lines in the boreal and arctic ecosystems of North America: environmental impacts, challenges, and opportunities A Dabros, M Pyper, G Castilla Environmental Reviews 26 (2), 214-229, 2018 | 87 | 2018 |
| The impact of thematic resolution on the patch-mosaic model of natural landscapes G Castilla, K Larkin, J Linke, GJ Hay Landscape Ecology 24 (1), 15-23, 2009 | 82 | 2009 |
| A multiscale geographic object-based image analysis to estimate lidar-measured forest canopy height using Quickbird imagery G Chen, GJ Hay, G Castilla, B St-Onge, R Powers International Journal of Geographical Information Science 25 (6), 877-893, 2011 | 63 | 2011 |
| Measuring vegetation height in linear disturbances in the boreal forest with UAV photogrammetry S Chen, GJ McDermid, G Castilla, J Linke Remote Sensing 9 (12), 1257, 2017 | 51 | 2017 |
| Automated detection of conifer seedlings in drone imagery using convolutional neural networks M Fromm, M Schubert, G Castilla, J Linke, G McDermid Remote Sensing 11 (21), 2585, 2019 | 48 | 2019 |
| Harmonised techniques and representative river basin data for assessment and use of uncertainty information in integrated water management (HarmoniRiB) JC Refsgaard, B Nilsson, J Brown, B Klauer, R Moore, T Bech, M Vurro, ... Environmental Science & Policy 8 (3), 267-277, 2005 | 48 | 2005 |
| Detection of coniferous seedlings in UAV imagery C Feduck, GJ McDermid, G Castilla Forests 9 (7), 432, 2018 | 45 | 2018 |
| Object-oriented analysis of remote sensing images for land cover mapping: conceptual foundations and a segmentation method to derive a baseline partition for classification G Castilla PhD edn, Polythecnic University of Madrid, Madrid, Spain, 2003 | 43 | 2003 |
| Uncertainties in land use data G Castilla, GJ Hay Hydrology and Earth System Sciences 11 (6), 1857-1868, 2007 | 39 | 2007 |
| Object-based image analysis: Strengths, weaknesses, opportunities and threats (SWOT). The International Archives of the Photogrammetry GJ Hay, G Castilla Remote Sensing and Spatial Information Sciences 36 (4), 2006 | 38 | 2006 |
| Completion and updating of a landsat-based land cover polygon layer for Alberta, Canada G Castilla, J Hird, RJ Hall, J Schieck, GJ McDermid Canadian Journal of Remote Sensing 40 (2), 92-109, 2014 | 25 | 2014 |
