Erik Næsset

发表

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.

Prediction of Species-Specific Volume Using Different Inventory Approaches by Fusing Airborne Laser Scanning and Hyperspectral Data

Michele Dalponte, Erik Næsset, Hans Ole Ørka, 2017, Remote. Sens..

Vertical Height Errors in Digital Terrain Models Derived from Airborne Laser Scanner Data in a Boreal-Alpine Ecotone in Norway

Erik Næsset, E. Næsset, 2015, Remote. Sens..

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 .

Use of models in large-area forest surveys: comparing model-assisted, model-based and hybrid estimation

Göran Ståhl, Erik Næsset, Ronald E. McRoberts, 2016, Forest Ecosystems.

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 .

Using Airborne Laser Scanning Data to Support Forest Sample Surveys

Erik Næsset, Ronald E. McRoberts, Hans-Erik Andersen, 2014 .

Generalized Hierarchical Model-Based Estimation for Aboveground Biomass Assessment Using GEDI and Landsat Data

Göran Ståhl, Erik Næsset, Hans Petersson, 2018, Remote. Sens..

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

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

Detection of biomass change in a Norwegian mountain forest area using small footprint airborne laser scanner data

Erik Næsset, Ole Martin Bollandsås, Timothy G. Gregoire, 2013, Stat. Methods Appl..

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.

Efficient multiresolution spatial predictions for large data arrays

Erik Næsset, Michael A. Wulder, Steen Magnussen, 2007 .

Using remotely sensed data to construct and assess forest attribute maps and related spatial products

Erik Næsset, Stephen V. Stehman, Ronald E. McRoberts, 2010 .

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.

Introduction to Forestry Applications of Airborne Laser Scanning

Erik Næsset, Matti Maltamo, Ronald E. McRoberts, 2014 .

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..

Detection and Segmentation of Small Trees in the Forest-Tundra Ecotone Using Airborne Laser Scanning

Erik Næsset, Marius Hauglin, E. Næsset, 2016, Remote. Sens..

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 .

Spatially consistent imputations of forest data under a semivariogram model

Liviu Theodor Ene, Erik Næsset, Victor Felix Strimbu, 2016 .

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..

Modeling and Estimating Change

Erik Næsset, Ole Martin Bollandsås, Ronald E. McRoberts, 2014 .

Discrimination between Ground Vegetation and Small Pioneer Trees in the Boreal-Alpine Ecotone Using Intensity Metrics Derived from Airborne Laser Scanner Data

Erik Næsset, E. Næsset, 2016, 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..

Tree Species Classification in Boreal Forests With Hyperspectral Data

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

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..

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

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

Use of the Weighted Kappa Coefficient in Classification Error Assessment of Thematic Maps

Erik Næsset, E. Næsset, 1996, Int. J. Geogr. Inf. Sci..

The effects of imperfect reference data on remote sensing-assisted estimators of land cover class proportions

Christophe Sannier, Erik Næsset, Stephen V. Stehman, 2018, ISPRS Journal of Photogrammetry and Remote Sensing.

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..

An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning

Juha Hyyppä, Christian Heipke, Xiaowei Yu, 2012, Remote. Sens..

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.

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.

Deriving forest monitoring variables from X-band InSAR SRTM height

Erik Næsset, Dan Johan Weydahl, Ole Martin Bollandsås, 2010 .

Mapping defoliation during a severe insect attack on Scots pine using airborne laser scanning

Erik Næsset, Svein Solberg, Kjersti Holt Hanssen, 2006 .

Using LiDAR and quickbird data to model plant production and quantify uncertainties associated with wetland detection and land cover generalizations

Erik Næsset, Jeffrey T. Morisette, Paul V. Bolstad, 2009 .

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 .

Measures of spatial forest structure derived from airborne laser data are associated with natural regeneration patterns in an uneven-aged spruce forest

Erik Næsset, Ole Martin Bollandsås, Kjersti Holt Hanssen, 2008 .

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 .

MAPPING DEFOLIATION WITH LIDAR

Erik Næsset, Svein Solberg, 2007 .

Sampling and Mapping Forest Volume and Biomass Using Airborne LIDARs

Terje Gobakken, Erik Næsset, Ross Nelson, 2009 .

Positional accuracy of boundaries between clearcuts and mature forest stands delineated by means of aerial photointerpretation

Erik Næsset, E. Næsset, 1998 .

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 .

Derivation of a predictive model for production of tree species composition maps at small scales using discriminant function analysis

Erik Næsset, E. Næsset, 1995 .

Mapping Above- and Below-Ground Carbon Pools in Boreal Forests: The Case for Airborne Lidar

Erik Næsset, Paul V. Bolstad, E. Næsset, 2015, PloS one.

The Role and Need for Space-Based Forest Biomass-Related Measurements in Environmental Management and Policy

Erik Næsset, Johannes Reiche, Ronald E. McRoberts, 2019, Surveys in Geophysics.

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.

Weibull models for single-tree increment of Norway spruce, Scots pine, birch and other broadleaves in Norway

Erik Næsset, Ole Martin Bollandsås, E. Næsset, 2009 .

Advances and emerging issues in national forest inventories

Erik Næsset, Erkki Tomppo, Ronald E. McRoberts, 2010 .

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

Terje Gobakken, Erik Næsset, Lauri Korhonen, 2014 .

Effects of different sensors and leaf-on and leaf-off canopy conditions on echo distributions and individual tree properties derived from airborne laser scanning

Erik Næsset, Hans Ole Ørka, Ole Martin Bollandsås, 2010 .

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 .

Proceedings of the Scandlaser scientific workshop on airborne laser scanning of forests

Juha Hyyppä, Erik Næsset, Håkan Olsson, 2003 .

Effects of different flying altitudes on biophysical stand properties estimated from canopy height and density measured with a small-footprint airborne scanning laser

Erik Næsset, E. Næsset, 2004 .

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

Göran Ståhl, Terje Gobakken, Erik Næsset, 2012 .

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 .

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.

Assessing forest windthrow damage using single-date, post-event airborne laser scanning data

Erik Næsset, Piermaria Corona, Gherardo Chirici, 2018 .

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 .

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 .

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.

Mapping LAI in a Norway spruce forest using airborne laser scanning

Erik Næsset, Miina Rautiainen, Pauline Stenberg, 2009 .

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 .

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 .

Conditional tau coefficient for assessment of producer's accuracy of classified remotely sensed data

Erik Næsset, E. Næsset, 1996 .

Influence of terrain model smoothing and flight and sensor configurations on detection of small pioneer trees in the boreal-alpine transition zone utilizing height metrics derived from airborne scanning lasers.

Erik Næsset, E. Næsset, 2009 .

Methods for evaluating the utilities of local and global maps for increasing the precision of estimates of subtropical forest area

Christophe Sannier, Erik Næsset, Ronald E. McRoberts, 2016 .

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 .

Using airborne laser scanning to monitor tree migration in the boreal–alpine transition zone

Erik Næsset, Ross Nelson, R. Nelson, 2007 .

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 .

Taking stock of circumboreal forest carbon with ground measurements, airborne and spaceborne LiDAR

Guoqing Sun, Erik Næsset, K. Jon Ranson, 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 .

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.

Determination of Mean Tree Height of Forest Stands by Digital Photogrammetry

Erik Næsset, E. Næsset, 2002 .

Testing for marginal homogeneity of remote sensing classification error matrices with ordered categories

Erik Næsset, E. Næsset, 1995 .

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

Terje Gobakken, Erik Næsset, Marius Hauglin, 2014 .

Generic methodologies applicable to multiple land-use categories

Brian McConkey, Joanna Isobel House, Erik Næsset, 2019 .

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 .

Decomposition rate constants of Picea abies logs in southeastern Norway

Erik Næsset, E. Næsset, 1999 .

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 .

Estimating above-ground biomass in young forests with airborne laser scanning

Erik Næsset, E. Næsset, 2011 .

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 .

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 .

Estimating percentile-based diameter distributions in uneven-sized Norway spruce stands using airborne laser scanner data

Erik Næsset, E. Næsset, Ole Martin Bollandsås, 2007 .

The uncertainty of biomass estimates from LiDAR and SAR across a boreal forest structure gradient

Erik Næsset, Kenneth J. Ranson, Ross Nelson, 2014 .

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

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

Assessing sensor effects and effects of leaf-off and leaf-on canopy conditions on biophysical stand properties derived from small-footprint airborne laser data

Erik Næsset, E. Næsset, 2005 .

Using a Finer Resolution Biomass Map to Assess the Accuracy of a Regional, Map-Based Estimate of Forest Biomass

Sassan Saatchi, Erik Næsset, Ronald E. McRoberts, 2019, Surveys in Geophysics.

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 .