Næsset, E.
124  Ergebnisse:
Personensuche X
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2

A practical measure for determining if diameter (D) and hei..:

Dutcă, I ; McRoberts, R E ; Næsset, E.
Forestry: An International Journal of Forest Research.  92 (2019)  5 - p. 627-634 , 2019
 
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3

A functional regression model for inventories supported by ..:

Magnussen, S. ; Næsset, E. ; Kändler, G....
Remote Sensing of Environment.  184 (2016)  - p. 496-505 , 2016
 
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4

Large-scale prediction of aboveground biomass in heterogene..:

Maltamo, M. ; Bollandsås, O.M. ; Gobakken, T..
Canadian Journal of Forest Research.  46 (2016)  9 - p. 1138-1144 , 2016
 
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5

LiDAR-supported estimation of change in forest biomass with..:

Magnussen, S. ; Næsset, E. ; Gobakken, T.
Canadian Journal of Forest Research.  45 (2015)  11 - p. 1514-1523 , 2015
 
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10

A fine-scale model for area-based predictions of tree-size-..:

Magnussen, Steen ; Næsset, E. ; Gobakken, T..
Scandinavian Journal of Forest Research.  27 (2012)  3 - p. 312-322 , 2012
 
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11

Using airborne small-footprint laser scanner data for detec..:

Bollandsås, O.M. ; Risbøl, O. ; Ene, L.T....
Journal of Archaeological Science.  39 (2012)  8 - p. 2733-2743 , 2012
 
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12

Lidar sampling — Using an airborne profiler to estimate for..:

Nelson, R. ; Gobakken, T. ; Næsset, E....
Remote Sensing of Environment.  123 (2012)  - p. 563-578 , 2012
 
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14

Reliability of LiDAR derived predictors of forest inventory..:

Magnussen, S. ; Næsset, E. ; Gobakken, T.
Remote Sensing of Environment.  114 (2010)  4 - p. 700-712 , 2010
 
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