Steen Magnussen
Steen Magnussen
Natural Resources Canada, Canadian Forest Service
Verified email at canada.ca
Title
Cited by
Cited by
Year
Derivations of stand heights from airborne laser scanner data with canopy-based quantile estimators
S Magnussen, P Boudewyn
Canadian journal of forest research 28 (7), 1016-1031, 1998
5161998
Sampling methods, remote sensing and GIS multiresource forest inventory
M Köhl, S Magnussen, M Marchetti
Springer, 2006
3692006
Simulated impact of sample plot size and co-registration error on the accuracy and uncertainty of LiDAR-derived estimates of forest stand biomass
GW Frazer, S Magnussen, MA Wulder, KO Niemann
Remote Sensing of Environment 115 (2), 636-649, 2011
2532011
Recovering tree heights from airborne laser scanner data
S Magnussen, P Eggermont, VN LaRiccia
Forest science 45 (3), 407-422, 1999
2421999
Mapping attributes of Canada’s forests at moderate resolution through kNN and MODIS imagery
A Beaudoin, PY Bernier, L Guindon, P Villemaire, XJ Guo, G Stinson, ...
Canadian Journal of Forest Research 44 (5), 521-532, 2014
2282014
Spatially explicit large area biomass estimation: three approaches using forest inventory and remotely sensed imagery in a GIS
MA Wulder, JC White, RA Fournier, JE Luther, S Magnussen
Sensors 8 (1), 529-560, 2008
1382008
An accuracy assessment framework for large‐area land cover classification products derived from medium‐resolution satellite data
MA Wulder, SE Franklin, JC White, J Linke, S Magnussen
International Journal of Remote Sensing 27 (4), 663-683, 2006
1252006
Asymmetric, two-sided competition in even-aged monocultures of red pine
DG Brand, S Magnussen
Canadian Journal of Forest Research 18 (7), 901-910, 1988
991988
Model-based, volume-to-biomass conversion for forested and vegetated land in Canada
P Boudewyn, X Song, S Magnussen, MD Gillis
Natural Resources Canada, Canadian Forest Service, Pacific Forestry Centre …, 2007
982007
Reliability of LiDAR derived predictors of forest inventory attributes: A case study with Norway spruce
S Magnussen, E Næsset, T Gobakken
Remote Sensing of Environment 114 (4), 700-712, 2010
932010
Validation of a large area land cover product using purpose-acquired airborne video
MA Wulder, JC White, S Magnussen, S McDonald
Remote Sensing of Environment 106 (4), 480-491, 2007
902007
Use of models in large-area forest surveys: comparing model-assisted, model-based and hybrid estimation
G Ståhl, S Saarela, S Schnell, S Holm, J Breidenbach, SP Healey, ...
Forest Ecosystems 3 (1), 1-11, 2016
862016
Provenance variation in shoot growth components of Norway spruce.
T Skrøppa, S Magnussen
Silvae Genetica 42 (2-3), 111-120, 1993
801993
Model-based mean square error estimators for k-nearest neighbour predictions and applications using remotely sensed data for forest inventories
S Magnussen, RE McRoberts, EO Tomppo
Remote Sensing of Environment 113 (3), 476-488, 2009
762009
Contextual classification of Landsat TM images to forest inventory cover types
S Magnussen, P Boudewyn, M Wulder
International Journal of Remote Sensing 25 (12), 2421-2440, 2004
762004
Estimating sample size for inference about the Shannon-Weaver and the Simpson indices of species diversity
S Magnussen, TJB Boyle
Forest Ecology and Management 78 (1-3), 71-84, 1995
721995
A method to adjust simultaneously for spatial microsite and competition effects
S Magnussen
Canadian journal of forest research 24 (5), 985-995, 1994
661994
Bias in genetic variance estimates due to spatial autocorrelation
S Magnussen
Theoretical and Applied Genetics 86 (2), 349-355, 1993
631993
Modeling for estimation and monitoring
S Magnussen, D Reed
Knowledge reference for national forest assessments 111, 2004
592004
Parametric, bootstrap, and jackknife variance estimators for the k-Nearest Neighbors technique with illustrations using forest inventory and satellite image data
RE McRoberts, S Magnussen, EO Tomppo, G Chirici
Remote Sensing of Environment 115 (12), 3165-3174, 2011
562011
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