Steen Magnussen
Steen Magnussen
Natural Resources Canada, Canadian Forest Service
Bestätigte E-Mail-Adresse bei canada.ca
Titel
Zitiert von
Zitiert von
Jahr
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
4911998
Sampling methods, remote sensing and GIS multiresource forest inventory
M Köhl, SS Magnussen, M Marchetti
Springer Science & Business Media, 2006
3292006
Recovering tree heights from airborne laser scanner data
S Magnussen, P Eggermont, VN LaRiccia
Forest science 45 (3), 407-422, 1999
2411999
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
2272011
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
2002014
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
1312008
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
1152006
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
912007
Growing food
T Winch
Springer, 2006
902006
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
892010
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
872007
Provenance variation in shoot growth components of Norway spruce.
T Skrøppa, S Magnussen
Silvae Genetica 42 (2-3), 111-120, 1993
761993
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
732016
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
732009
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
732004
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
681995
A method to adjust simultaneously for spatial microsite and competition effects
S Magnussen
Canadian journal of forest research 24 (5), 985-995, 1994
631994
Bias in genetic variance estimates due to spatial autocorrelation
S Magnussen
Theoretical and Applied Genetics 86 (2-3), 349-355, 1993
581993
Modeling for estimation and monitoring
S Magnussen, D Reed
Knowledge reference for national forest assessments 111, 2004
562004
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