| 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 | 556 | 1998 |
| Sampling methods, remote sensing and GIS multiresource forest inventory M Köhl, S Magnussen, M Marchetti Springer, 2006 | 476 | 2006 |
| 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 | 364 | 2014 |
| 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 | 330 | 2011 |
| Recovering tree heights from airborne laser scanner data S Magnussen, P Eggermont, VN LaRiccia Forest science 45 (3), 407-422, 1999 | 250 | 1999 |
| 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, 1-11, 2016 | 166 | 2016 |
| 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 | 165 | 2006 |
| 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 | 161 | 2008 |
| Model-based, volume-to-biomass conversion for forested and vegetated land in Canada. P Boudewyn, X Song, S Magnussen, MD Gillis | 132 | 2007 |
| 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 | 110 | 1988 |
| 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 | 99 | 2010 |
| 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 | 98 | 2007 |
| Provenance variation in shoot growth components of Norway spruce. T Skrøppa, S Magnussen | 95 | 1993 |
| 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 | 91 | 2009 |
| 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 | 89 | 1995 |
| Modeling for estimation and monitoring S Magnussen, D Reed Knowledge reference for national forest assessments 111, 2004 | 86 | 2004 |
| 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 | 84 | 2004 |
| 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 | 73 | 2011 |
| A method to adjust simultaneously for spatial microsite and competition effects S Magnussen Canadian journal of forest research 24 (5), 985-995, 1994 | 71 | 1994 |
| Bias in genetic variance estimates due to spatial autocorrelation S Magnussen Theoretical and Applied Genetics 86, 349-355, 1993 | 70 | 1993 |
