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Viser treff 1-10 av 10

2020
1 Noordermeer, Lennart; Gobakken, Terje; Næsset, Erik; Bollandsås, Ole Martin.
Predicting and mapping site index in operational forest inventories using bitemporal airborne laser scanner data. Forest Ecology and Management 2020 ;Volum 457. s. -
NMBU Untitled
 
2019
2 Bollandsås, Ole Martin; Ørka, Hans Ole; Dalponte, Michele; Gobakken, Terje; Næsset, Erik.
Modelling site index in forest stands using airborne hyperspectral imagery and Bi-temporal laser scanner data. Remote Sensing 2019 ;Volum 11.(9) s. -
NMBU Untitled
 
3 Domingo, Dario; Ørka, Hans Ole; Næsset, Erik; Kachamba, Daud Jones; Gobakken, Terje.
Effects of UAV image resolution, camera type, and image overlap on accuracy of biomass predictions in a tropicalwoodland. Remote Sensing 2019 ;Volum 11.(8) s. -
NMBU Untitled
 
4 Magnussen, Steen; Næsset, Erik; Gobakken, Terje.
An application niche for finite mixture models in forest resource surveys. Canadian Journal of Forest Research 2019 ;Volum 49.(11) s. 1453-1462
NMBU Untitled
 
5 Malek, Salim; Miglietta, Franco; Gobakken, Terje; Næsset, Erik; Gianelle, Damiano; Dalponte, Michele.
Optimizing field data collection for individual tree attribute predictions using active learning methods. Remote Sensing 2019 ;Volum 11.(8) s. -
NMBU Untitled
 
6 Malek, Salim; Miglietta, Franco; Gobakken, Terje; Næsset, Erik; Gianelle, Damiano; Dalponte, Michele.
Prediction of stem diameter and biomass at individual tree crown level with advanced machine learning techniques. iForest : Biogeosciences and Forestry 2019 ;Volum 12.(3) s. 323-329
NMBU Untitled
 
7 Maltamo, Matti; Hauglin, Marius; Næsset, Erik; Gobakken, Terje.
Estimating stand level stem diameter distribution utilizing harvester data and airborne laser scanning. Silva Fennica 2019 ;Volum 53.(3) s. -
NIBIO NMBU Untitled
 
8 Noordermeer, Lennart; Bollandsås, Ole Martin; Ørka, Hans Ole; Næsset, Erik; Gobakken, Terje.
Comparing the accuracies of forest attributes predicted from airborne laser scanning and digital aerial photogrammetry in operational forest inventories. Remote Sensing of Environment 2019 ;Volum 226. s. 26-37
NMBU Untitled
 
9 Noordermeer, Lennart; Økseter, Roar; Ørka, Hans Ole; Gobakken, Terje; Næsset, Erik; Bollandsås, Ole Martin.
Classifications of forest change by using bitemporal airborne laser scanner data. Remote Sensing 2019 ;Volum 11.(18) s. -
NMBU Untitled
 
10 Næsset, Erik; Gobakken, Terje; McRoberts, Ronald E..
A model-dependent method for monitoring subtle changes in vegetation height in the boreal-alpine ecotone using bi-temporal, three dimensional point data from airborne laser scanning. Remote Sensing 2019 ;Volum 11.(15) s. -
NMBU Untitled