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Guillermo Castilla
Guillermo Castilla
Remote Sensing Research Scientist, Canadian Forest Service
Verified email at nrcan-rncan.gc.ca - Homepage
Title
Cited by
Cited by
Year
Geographic Object-Based Image Analysis (GEOBIA): A new name for a new discipline
GJ Hay, G Castilla
Object-based image analysis: Spatial concepts for knowledge-driven remote …, 2008
8222008
Object-based image analysis: spatial concepts for knowledge-driven remote sensing applications
T Blaschke, S Lang, G Hay
Springer Science & Business Media, 2008
5622008
Object-based image analysis: strengths, weaknesses, opportunities and threats (SWOT)
GJ Hay, G Castilla
Proc. 1st Int. Conf. OBIA, 4-5, 2006
5082006
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
4922005
Image objects and geographic objects
G Castilla, GJ Hay
Object-based image analysis: Spatial concepts for knowledge-driven remote …, 2008
2152008
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
1622016
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
1472018
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
1172009
Size-constrained region merging (SCRM)
G Castilla, GG Hay, JR Ruiz-Gallardo
Photogrammetric Engineering & Remote Sensing 74 (4), 409-419, 2008
1092008
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
1032008
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
1002019
The impact of thematic resolution on the patch-mosaic model of natural landscapes
G Castilla, K Larkin, J Linke, GJ Hay
Landscape Ecology 24, 15-23, 2009
872009
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
762017
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
752011
Detection of coniferous seedlings in UAV imagery
C Feduck, GJ McDermid, G Castilla
Forests 9 (7), 432, 2018
622018
Uncertainties in land use data
G Castilla, GJ Hay
Hydrology and Earth System Sciences 11 (6), 1857-1868, 2007
602007
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
502003
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
492005
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
312014
A simple transformation for visualizing non-seasonal landscape change from dense time series of satellite data
JN Hird, G Castilla, GJ McDermid, IT Bueno
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015
282015
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