Terje Gobakken

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Predicting Selected Forest Stand Characteristics with Multispectral ALS Data

Michele Dalponte, Liviu Theodor Ene, Terje Gobakken, 2018, Remote. Sens..

Unsupervised selection of training plots and trees for tree species classification

Michele Dalponte, Liviu Theodor Ene, Terje Gobakken, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

Using airborne small-footprint laser scanner data for detection of cultural remains in forests: an experimental study of the effects of pulse density and DTM smoothing

Liviu Theodor Ene, Terje Gobakken, Erik Næsset, 2012 .

Valuation of Airborne Laser Scanning Based Forest Information

Terje Gobakken, Annika Kangas, Tron Eid, 2014 .

Use of partial-coverage UAV data in sampling for large scale forest inventories

Liviu Theodor Ene, Terje Gobakken, Erik Næsset, 2017 .

A functional regression model for inventories supported by aerial laser scanner data or photogrammetric point clouds

Terje Gobakken, Erik Næsset, Steen Magnussen, 2016 .

Modeling Aboveground Biomass in Dense Tropical Submontane Rainforest Using Airborne Laser Scanner Data

Terje Gobakken, Erik Næsset, Ole Martin Bollandsås, 2015, Remote. Sens..

Biomass Estimation Using 3D Data from Unmanned Aerial Vehicle Imagery in a Tropical Woodland

Terje Gobakken, Daud Jones Kachamba, Hans Ole Ørka, 2016, Remote. Sens..

Accurate single-tree positions from a harvester: a test of two global satellite-based positioning systems

Terje Gobakken, Erik Næsset, Jon Glenn Omholt Gjevestad, 2017 .

Unsupervised Selection of Training Samples for Tree Species Classification Using Hyperspectral Data

Michele Dalponte, Liviu Theodor Ene, Terje Gobakken, 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Effects of Pulse Density on Digital Terrain Models and Canopy Metrics Using Airborne Laser Scanning in a Tropical Rainforest

Terje Gobakken, Erik Næsset, Endre Hofstad Hansen, 2015, Remote. Sens..

Relative Efficiency of ALS and InSAR for Biomass Estimation in a Tanzanian Rainforest

Annika Kangas, Liviu Theodor Ene, Terje Gobakken, 2015, Remote. Sens..

Reducing extrapolation bias of area-based k-nearest neighbor predictions by using individual tree crown approaches in areas with high density airborne laser scanning data.

Terje Gobakken, Erik Næsset, Johannes Breidenbach, 2011 .

Modelling above Ground Biomass in Tanzanian Miombo Woodlands Using TanDEM-X WorldDEM and Field Data

Terje Gobakken, Erik Næsset, Stefano Puliti, 2017, Remote. Sens..

Automatic Estimation of Tree Position and Stem Diameter Using a Moving Terrestrial Laser Scanner

Terje Gobakken, Erik Næsset, Marius Hauglin, 2017, Remote. Sens..

Prediction of Forest Attributes with Multispectral Lidar Data

Michele Dalponte, Liviu Theodor Ene, Terje Gobakken, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Improving Classification of Airborne Laser Scanning Echoes in the Forest-Tundra Ecotone Using Geostatistical and Statistical Measures

Terje Gobakken, Erik Næsset, Ole Martin Bollandsås, 2014, Remote. Sens..

T: A forest simulator for bioeconomic analyses based on models for individual trees

Terje Gobakken, Tron Eid, Nils L. Lexerød, 2008 .

Accuracy and Precision for Remote Sensing Applications of Nonlinear Model-Based Inference

Terje Gobakken, Erik Næsset, Ronald E. McRoberts, 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Tree species classification with hyperspectral data and artificial training samples

Michele Dalponte, Terje Gobakken, Erik Næsset, 2017 .

Different plot selection strategies for field training data in ALS-assisted forest

Terje Gobakken, Erik Næsset, Petteri Packalen, 2010 .

Estimating single-tree branch biomass of Norway spruce by airborne laser scanning

Terje Gobakken, Erik Næsset, Marius Hauglin, 2013 .

Inventory of Small Forest Areas Using an Unmanned Aerial System

Terje Gobakken, Erik Næsset, Hans Ole Ørka, 2015, Remote. Sens..

Automatic Detection of Small Single Trees in the Forest-Tundra Ecotone Using Airborne Laser Scanning

Terje Gobakken, Erik Næsset, Ole Martin Bollandsås, 2014, Remote. Sens..

Optimizing the ground sample collection with cost-sensitive active learning for tree species classification using hyperspectral images

Michele Dalponte, Terje Gobakken, Claudio Persello, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

Tree Species Classification in Boreal Forests With Hyperspectral Data

Michele Dalponte, Terje Gobakken, Erik Næsset, 2013, IEEE Transactions on Geoscience and Remote Sensing.

Use of local and global maps of forest canopy height and aboveground biomass to enhance local estimates of biomass in miombo woodlands in Tanzania

Maurizio Santoro, Sassan Saatchi, Terje Gobakken, 2020, Int. J. Appl. Earth Obs. Geoinformation.

Using airborne & space lidars for large-area inventory

Göran Ståhl, Terje Gobakken, Erik Næsset, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

Influence of Plot Size on Efficiency of Biomass Estimates in Inventories of Dry Tropical Forests Assisted by Photogrammetric Data from an Unmanned Aircraft System

Terje Gobakken, Erik Næsset, Daud Jones Kachamba, 2017, Remote. Sens..

Use of local and global maps of forest canopy height and aboveground biomass to enhance local estimates of biomass in miombo woodlands in Tanzania

Sassan Saatchi, Terje Gobakken, Øivind Due Trier, 2020, Int. J. Appl. Earth Obs. Geoinformation.

Optimizing Field Data Collection for Individual Tree Attribute Predictions Using Active Learning Methods

Michele Dalponte, Terje Gobakken, Erik Næsset, 2019, Remote. Sens..

Cost-Sensitive Active Learning With Lookahead: Optimizing Field Surveys for Remote Sensing Data Classification

Bernhard Schölkopf, Michele Dalponte, Terje Gobakken, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Semi-supervised SVM for individual tree crown species classification

Michele Dalponte, Liviu Theodor Ene, Terje Gobakken, 2015 .

The efficiency of post-stratification compared to model-assisted estimation

Annika Kangas, Terje Gobakken, Erik Næsset, 2017 .

Comparative testing of single-tree detection algorithms under different types of forest

Liviu Theodor Ene, Terje Gobakken, Erik Næsset, 2011 .

Effects of UAV Image Resolution, Camera Type, and Image Overlap on Accuracy of Biomass Predictions in a Tropical Woodland

Terje Gobakken, Erik Næsset, Daud Jones Kachamba, 2019, Remote. Sens..

Estimation for inaccessible, non-sampled forest areas using model-based inference and remotely sensed auxiliary information

Terje Gobakken, Ronald E. McRoberts, Erik NÃ¦sset, 2014 .

Constructing Forest Biomass Prediction Maps from Radar Backscatter by Sequential Regression with a Conditional Generative Adversarial Network pdf

Terje Gobakken, Erik Næsset, Stian Normann Anfinsen, 2021, ArXiv.

Comparison of two algorithms for estimating stand-level changes and change indicators in a boreal forest in Norway

Terje Gobakken, Hans Ole Ørka, Marie-Claude Jutras-Perreault, 2021, Int. J. Appl. Earth Obs. Geoinformation.

Effect of root and butt rot uncertainty on optimal harvest schedules and expected incomes at the stand level

Annika Kangas, Terje Gobakken, Ana Aza, 2021, Annals of Forest Science.

Comparing 3D Point Cloud Data from Laser Scanning and Digital Aerial Photogrammetry for Height Estimation of Small Trees and Other Vegetation in a Boreal-Alpine Ecotone

Terje Gobakken, Erik Næsset, Eirik Næsset Ramtvedt, 2021, Remote. Sens..

Modelling aboveground forest biomass using airborne laser scanner data in the miombo woodlands of Tanzania

Liviu Theodor Ene, Terje Gobakken, Erik Næsset, 2015, Carbon Balance and Management.

Improving broad scale forage mapping and habitat selection analyses with airborne laser scanning: the case of moose

Terje Gobakken, Floris M. van Beest, Atle Mysterud, 2014 .

The effects of field plot size on model-assisted estimation of aboveground biomass change using multitemporal interferometric SAR and airborne laser scanning data

Terje Gobakken, Erik Næsset, Ole Martin Bollandsås, 2015 .

A forest optimisation model including carbon flows: Application to a forest in Norway

Terje Gobakken, Birger Solberg, Even Bergseng, 2009 .

Model-assisted forest inventory with parametric, semiparametric, and nonparametric models

Annika Kangas, Terje Gobakken, Erik Næsset, 2016 .

Deriving individual tree competition indices from airborne laser scanning

Terje Gobakken, Erik Næsset, Ole Martin Bollandsås, 2012 .

Large-scale prediction of aboveground biomass in heterogeneous mountain forests by means of airborne laser scanning

Terje Gobakken, Erik Næsset, Matti Maltamo, 2016 .

Sampling and Mapping Forest Volume and Biomass Using Airborne LIDARs

Terje Gobakken, Erik Næsset, Ross Nelson, 2009 .

Assessing effects of sample plot positioning errors on biophysical stand properties derived from airborne laser scanner data.

Terje Gobakken, Erik Næsset, 2008 .

LiDAR-supported estimation of change in forest biomass with time-invariant regression models

Terje Gobakken, Erik Næsset, Steen Magnussen, 2015 .

Characterizing forest species composition using multiple remote sensing data sources and inventory approaches

Michele Dalponte, Liviu Theodor Ene, Terje Gobakken, 2013 .

Lidar sampling — Using an airborne profiler to estimate forest biomass in Hedmark County, Norway

Terje Gobakken, Erik Næsset, Timothy G. Gregoire, 2012 .

Estimating Single-Tree Crown Biomass of Norway Spruce by Airborne Laser Scanning: A Comparison of Methods with and without the Use of Terrestrial Laser Scanning to Obtain the Ground Reference Data

Liviu Theodor Ene, Terje Gobakken, Erik Næsset, 2014 .

Model-based inference for k-nearest neighbours predictions using a canonical vine copula

Liviu Theodor Ene, Terje Gobakken, Erik Næsset, 2013 .

Assessing components of the model-based mean square error estimator for remote sensing assisted forest applications

Göran Ståhl, Terje Gobakken, Erik Næsset, 2018, Canadian Journal of Forest Research.

Predicting the occurrence of large-diameter trees using airborne laser scanning

Terje Gobakken, Erik Næsset, Lauri Korhonen, 2014 .

Model-assisted estimation of change in forest biomass over an 11 year period in a sample survey supported by airborne LiDAR: A case study with post-stratification to provide “activity data”

Göran Ståhl, Terje Gobakken, Erik Næsset, 2013 .

Living and dying in a multi‐predator landscape of fear: roe deer are squeezed by contrasting pattern of predation risk imposed by lynx and humans

Terje Gobakken, John D. C. Linnell, Atle Mysterud, 2014 .

Estimating biomass in Hedmark County, Norway using national forest inventory field plots and airborne laser scanning

Göran Ståhl, Terje Gobakken, Erik Næsset, 2012 .

Impact of maximum opening area constraints on profitability and biomass availability in forestry - a large, real world case.

Terje Gobakken, Tron Eid, Even Bergseng, 2015 .

Modeling and predicting aboveground biomass change in young forest using multi-temporal airborne laser scanner data

Terje Gobakken, Erik Næsset, Ole Martin Bollandsås, 2015 .

Economic analysis of timber management practices promoting preservation of biological diversity

Terje Gobakken, Erik Næsset, Hans Fredrik Hoen, 1997 .

Predicting Tree Diameter Distributions

Terje Gobakken, Matti Maltamo, M. Maltamo, 2014 .

Regional Forest Inventory using an Airborne Profiling LiDAR( Silvilaser)

Göran Ståhl, Terje Gobakken, Timothy G. Gregoire, 2008 .

Monitoring small pioneer trees in the forest-tundra ecotone: using multi-temporal airborne laser scanning data to model height growth

Terje Gobakken, Erik Næsset, Ole Martin Bollandsås, 2017, Environmental Monitoring and Assessment.

Effects of field plot size on prediction accuracy of aboveground biomass in airborne laser scanning-assisted inventories in tropical rain forests of Tanzania

Terje Gobakken, Erik Næsset, Ole Martin Bollandsås, 2015, Carbon Balance and Management.

Estimation of biomass change in montane forests in Norway along a 1200 km latitudinal gradient using airborne laser scanning: a comparison of direct and indirect prediction of change under a model-based inferential approach

Liviu Theodor Ene, Terje Gobakken, Erik Næsset, 2018 .

Biomass and InSAR height relationship in a dense tropical forest

Terje Gobakken, Endre Hofstad Hansen, Eliakimu Zahabu, 2017 .

Model-assisted estimation of biomass in a LiDAR sample survey in Hedmark County, NorwayThis article is one of a selection of papers from Extending Forest Inventory and Monitoring over Space and Time.

Göran Ståhl, Terje Gobakken, Erik Næsset, 2011 .

Assessing the accuracy of co-registered terrestrial and airborne laser scanning data in forests

Terje Gobakken, Marius Hauglin, Erik NÃ¦sset, 2014 .

Geostatistical estimation of forest biomass in interior Alaska combining Landsat-derived tree cover, sampled airborne lidar and field observations

Terje Gobakken, Erik Næsset, Andrew O. Finley, 2017, Remote Sensing of Environment.

Biodiversity protection and economics in long term boreal forest management — A detailed case for the valuation of protection measures

Terje Gobakken, Birger Solberg, Even Bergseng, 2012 .

Comparing the accuracies of forest attributes predicted from airborne laser scanning and digital aerial photogrammetry in operational forest inventories

Terje Gobakken, Erik Næsset, Hans Ole Ørka, 2019, Remote Sensing of Environment.

Reliability of LiDAR derived predictors of forest inventory attributes: A case study with Norway spruce

Terje Gobakken, Erik Næsset, Steen Magnussen, 2010 .

Effects of site productivity on forest harvest scheduling subject to green-up and maximum area restrictions

Terje Gobakken, Isabel Martins, Tron Eid, 2016 .

Can airborne laser scanning assist in mapping and monitoring natural forests

Terje Gobakken, Erik Næsset, Hans Ole Ørka, 2016 .

Estimation of diameter and basal area distributions in coniferous forest by means of airborne laser scanner data

Terje Gobakken, Erik Næsset, E. Næsset, 2004 .

Deriving airborne laser scanning based computational canopy volume for forest biomass and allometry studies

Terje Gobakken, Erik Næsset, Jari Vauhkonen, 2014 .

Improved estimates of forest vegetation structure and biomass with a LiDAR‐optimized sampling design

Terje Gobakken, Volker C. Radeloff, Todd J. Hawbaker, 2009 .

A simulation approach for accuracy assessment of two-phase post-stratified estimation in large-area LiDAR biomass surveys

Göran Ståhl, Liviu Theodor Ene, Terje Gobakken, 2013 .

Direct and indirect site index determination for Norway spruce and Scots pine using bitemporal airborne laser scanner data

Terje Gobakken, Erik Næsset, Ole Martin Bollandsås, 2018, Forest Ecology and Management.

Simulation-based assessment of sampling strategies for large-area biomass estimation using wall-to-wall and partial coverage airborne laser scanning surveys

Liviu Theodor Ene, Terje Gobakken, Erik Næsset, 2016 .

Assessing 3D point clouds from aerial photographs for species-specific forest inventories

Terje Gobakken, Erik Næsset, Hans Ole Ørka, 2017 .

Estimating single-tree branch biomass of Norway spruce with terrestrial laser scanning using voxel-based and crown dimension features

Terje Gobakken, Erik Næsset, Marius Hauglin, 2013 .

Comparing regression methods in estimation of biophysical properties of forest stands from two different inventories using laser scanner data

Terje Gobakken, Erik Næsset, Ole Martin Bollandsås, 2005 .

Comparing parametric and non-parametric modelling of diameter distributions on independent data using airborne laser scanning in a boreal conifer forest

Terje Gobakken, Erik Næsset, Matti Maltamo, 2013 .

Assessing the accuracy of regional LiDAR-based biomass estimation using a simulation approach

Göran Ståhl, Liviu Theodor Ene, Terje Gobakken, 2012 .

Combining airborne laser scanning and Landsat data for statistical modeling of soil carbon and tree biomass in Tanzanian Miombo woodlands

Terje Gobakken, Erik Næsset, Håkan Olsson, 2017, Carbon Balance and Management.

Large-area hybrid estimation of aboveground biomass in interior Alaska using airborne laser scanning data

Liviu Theodor Ene, Terje Gobakken, Erik Næsset, 2018 .

Predicting stem diameters and aboveground biomass of individual trees using remote sensing data

Michele Dalponte, Terje Gobakken, Erik Næsset, 2018 .

Classifying tree and nontree echoes from airborne laser scanning in the forest–tundra ecotone

Terje Gobakken, Erik Næsset, Hans Ole Ørka, 2013 .

Mapping and estimating the total living biomass and carbon in low-biomass woodlands using Landsat 8 CDR data

Terje Gobakken, Erik Næsset, Ole Martin Bollandsås, 2016, Carbon Balance and Management.

Prediction of tree-size distributions and inventory variables from cumulants of canopy height distributions

Terje Gobakken, Erik Næsset, Steen Magnussen, 2013 .

Model-assisted regional forest biomass estimation using LiDAR and InSAR as auxiliary data: A case study from a boreal forest area

Göran Ståhl, Terje Gobakken, Erik Næsset, 2011 .

Optimal Forest Management with Carbon Benefits Included

Terje Gobakken, Birger Solberg, B. Solberg, 2011 .

A new approach with DTM-independent metrics for forest growing stock prediction using UAV photogrammetric data

Terje Gobakken, Erik Næsset, Gherardo Chirici, 2018, Remote Sensing of Environment.

Geo-referencing forest field plots by co-registration of terrestrial and airborne laser scanning data

Terje Gobakken, Erik Næsset, Marius Hauglin, 2014 .

Detection of small single trees in the forest–tundra ecotone using height values from airborne laser scanning

Terje Gobakken, Erik Næsset, E. Næsset, 2011 .

Assessing forest inventory information obtained from different inventory approaches and remote sensing data sources

Terje Gobakken, Erik Næsset, Hans Ole Ørka, 2014, Annals of Forest Science.

Laser-assisted selection of field plots for an area-based forest inventory

Terje Gobakken, Erik Næsset, Lauri Korhonen, 2013 .

Mapping and estimating forest area and aboveground biomass in miombo woodlands in Tanzania using data from airborne laser scanning, TanDEM-X, RapidEye, and global forest maps: A comparison of estimated precision

Terje Gobakken, Erik Næsset, Hans Ole Ørka, 2016 .

Estimating Quebec provincial forest resources using ICESat/GLAS

Göran Ståhl, Terje Gobakken, Erik Næsset, 2009 .

Comparing different methods for prediction of mean crown height in Norway spruce stands using airborne laser scanner data

Terje Gobakken, Erik Næsset, Matti Maltamo, 2010 .

Comparing Empirical and Semi-Empirical Approaches to Forest Biomass Modelling in Different Biomes Using Airborne Laser Scanner Data

Liviu Theodor Ene, Terje Gobakken, Erik Næsset, 2017 .

Post-stratified change estimation for large-area forest biomass using repeated ALS strip sampling

Liviu Theodor Ene, Terje Gobakken, Erik Næsset, 2017 .

Predicting Attributes of Regeneration Forests Using Airborne Laser Scanning

Terje Gobakken, Erik Næsset, E. Næsset, 2016 .

Inference for lidar-assisted estimation of forest growing stock volume

Terje Gobakken, Erik Næsset, Ronald E. McRoberts, 2013 .

Modeling forest songbird species richness using LiDAR-derived measures of forest structure

Terje Gobakken, Volker C. Radeloff, Todd J. Hawbaker, 2011 .

Comparing stand inventories for large areas based on photo-interpretation and laser scanning by means of cost-plus-loss analyses

Terje Gobakken, Erik Næsset, Tron Eid, 2004 .

Predicting the growth of stands of trees of mixed species and size: A matrix model for Norway

Joseph Buongiorno, Terje Gobakken, T. Gobakken, 2008 .

Tree species classification in Norway from airborne hyperspectral and airborne laser scanning data

Arnt-Børre Salberg, Terje Gobakken, Erik Næsset, 2018 .

Estimating forest growth using canopy metrics derived from airborne laser scanner data

Terje Gobakken, Erik Næsset, E. Næsset, 2005 .

How important are choice of model selection method and spatial autocorrelation of presence data for distribution modelling by MaxEnt

Terje Gobakken, Erik Næsset, Sabrina Mazzoni, 2016 .

Assessing effects of laser point density, ground sampling intensity, and field sample plot size on biophysical stand properties derived from airborne laser scanner data

Terje Gobakken, Erik Næsset, E. Næsset, 2008 .

Estimating spruce and pine biomass with interferometric X-band SAR

Terje Gobakken, Erik Næsset, Dan Johan Weydahl, 2010 .