Guillermo Castilla
Guillermo Castilla
Remote Sensing Research Scientist, Canadian Forest Service
Verified email at - Homepage
Cited by
Cited by
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
Object-based image analysis: spatial concepts for knowledge-driven remote sensing applications
T Blaschke, S Lang, G Hay
Springer Science & Business Media, 2008
Object-based image analysis: strengths, weaknesses, opportunities and threats (SWOT)
GJ Hay, G Castilla
Proc. 1st Int. Conf. OBIA, 4-5, 2006
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
Image objects and geographic objects
G Castilla, GJ Hay
Object-based image analysis: Spatial concepts for knowledge-driven remote …, 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
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
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
Size-constrained region merging (SCRM)
G Castilla, GG Hay, JR Ruiz-Gallardo
Photogrammetric Engineering & Remote Sensing 74 (4), 409-419, 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
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
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
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
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
Detection of coniferous seedlings in UAV imagery
C Feduck, GJ McDermid, G Castilla
Forests 9 (7), 432, 2018
Uncertainties in land use data
G Castilla, GJ Hay
Hydrology and Earth System Sciences 11 (6), 1857-1868, 2007
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
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
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
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
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