Terje Gobakken

Modelling Site Index in Forest Stands Using Airborne Hyperspectral Imagery and Bi-Temporal Laser Scanner Data

Michele Dalponte, Erik Næsset, Ole Martin Bollandsås, 2019, Remote. Sens..

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

Ronald E. McRoberts, Erik Næsset, Terje Gobakken, 2019, Remote. Sens..

Use of Remotely Sensed Data to Enhance Estimation of Aboveground Biomass for the Dry Afromontane Forest in South-Central Ethiopia

Ingunn Burud, Erik Næsset, Hans Ole Ørka, 2020, Remote. Sens..

Classifications of Forest Change by Using Bitemporal Airborne Laser Scanner Data

Erik Næsset, Ole Martin Bollandsås, Hans Ole Ørka, 2019, Remote. Sens..

Comparing Three Different Ground Based Laser Scanning Methods for Tree Stem Detection

Francesca Giannetti, Terje Gobakken, Marius Hauglin, 2018, Remote. Sens..

Individual tree crown approach for predicting site index in boreal forests using airborne laser scanning and hyperspectral data

Michele Dalponte, Kaja Kandare, Erik Næsset, 2017, Int. J. Appl. Earth Obs. Geoinformation.

An application niche for finite mixture models in forest resource surveys

Steen Magnussen, Erik Næsset, Terje Gobakken, 2019, Canadian Journal of Forest Research.