Using airborne & space lidars for large-area inventory. - Ross F. Nelson; Göran Ståhl; Sören Holm; Timothy G. Gregoire; Erik Næsset; Terje Gobakken (IGARSS, 2010)

Unsupervised selection of training plots and trees for tree species classification. - Michele Dalponte; Liviu Theodor Ene; Hans Ole Ørka; Terje Gobakken; Erik Næsset (IGARSS, 2013)

Optimizing the ground sample collection with cost-sensitive active learning for tree species classification using hyperspectral images. - Claudio Persello; Michele Dalponte; Terje Gobakken; Erik Næsset (IGARSS, 2013)

Accuracy and Precision for Remote Sensing Applications of Nonlinear Model-Based Inference. - Ronald E. McRoberts; Erik Næsset; Terje Gobakken (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013)

Tree Species Classification in Boreal Forests With Hyperspectral Data. - Michele Dalponte; Hans Ole Ørka; Terje Gobakken; Damiano Gianelle; Erik Næsset (IEEE Trans. Geosci. Remote. Sens., 2013)

Automatic Detection of Small Single Trees in the Forest-Tundra Ecotone Using Airborne Laser Scanning. - Nadja Stumberg; Ole Martin Bollandsås; Terje Gobakken; Erik Næsset (Remote. Sens., 2014)

Improving Classification of Airborne Laser Scanning Echoes in the Forest-Tundra Ecotone Using Geostatistical and Statistical Measures. - Nadja Stumberg; Marius Hauglin; Ole Martin Bollandsås; Terje Gobakken; Erik Næsset (Remote. Sens., 2014)

Unsupervised Selection of Training Samples for Tree Species Classification Using Hyperspectral Data. - Michele Dalponte; Liviu Theodor Ene; Hans Ole Ørka; Terje Gobakken; Erik Næsset (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Cost-Sensitive Active Learning With Lookahead: Optimizing Field Surveys for Remote Sensing Data Classification. - Claudio Persello; Abdeslam Boularias; Michele Dalponte; Terje Gobakken; Erik Næsset; Bernhard Schölkopf (IEEE Trans. Geosci. Remote. Sens., 2014)

Modeling Aboveground Biomass in Dense Tropical Submontane Rainforest Using Airborne Laser Scanner Data. - Endre Hofstad Hansen; Terje Gobakken; Ole Martin Bollandsås; Eliakimu Zahabu; Erik Næsset (Remote. Sens., 2015)

Effects of Pulse Density on Digital Terrain Models and Canopy Metrics Using Airborne Laser Scanning in a Tropical Rainforest. - Endre Hofstad Hansen; Terje Gobakken; Erik Næsset (Remote. Sens., 2015)

Relative Efficiency of ALS and InSAR for Biomass Estimation in a Tanzanian Rainforest. - Endre Hofstad Hansen; Terje Gobakken; Svein Solberg; Annika Kangas; Liviu Theodor Ene; Ernest Mauya; Erik Næsset (Remote. Sens., 2015)

Inventory of Small Forest Areas Using an Unmanned Aerial System. - Stefano Puliti; Hans Ole Ørka; Terje Gobakken; Erik Næsset (Remote. Sens., 2015)

Biomass Estimation Using 3D Data from Unmanned Aerial Vehicle Imagery in a Tropical Woodland. - Daud Jones Kachamba; Hans Ole Ørka; Terje Gobakken; Tron Eid; Weston Mwase (Remote. Sens., 2016)

Individual tree crown approach for predicting site index in boreal forests using airborne laser scanning and hyperspectral data. - Kaja Kandare; Hans Ole Ørka; Michele Dalponte; Erik Næsset; Terje Gobakken (Int. J. Appl. Earth Obs. Geoinformation, 2017)

Influence of Plot Size on Efficiency of Biomass Estimates in Inventories of Dry Tropical Forests Assisted by Photogrammetric Data from an Unmanned Aircraft System. - Daud Jones Kachamba; Hans Ole Ørka; Erik Næsset; Tron Eid; Terje Gobakken (Remote. Sens., 2017)

Automatic Estimation of Tree Position and Stem Diameter Using a Moving Terrestrial Laser Scanner. - Ivar Oveland; Marius Hauglin; Terje Gobakken; Erik Næsset; Ivar Maalen-Johansen (Remote. Sens., 2017)

Modelling above Ground Biomass in Tanzanian Miombo Woodlands Using TanDEM-X WorldDEM and Field Data. - Stefano Puliti; Svein Solberg; Erik Næsset; Terje Gobakken; Eliakimu Zahabu; Ernest Mauya; Rogers Ernest Malimbwi (Remote. Sens., 2017)

Prediction of Forest Attributes with Multispectral Lidar Data. - Michele Dalponte; Liviu Theodor Ene; Terje Gobakken; Erik Næsset; Damiano Gianelle (IGARSS, 2018)

Predicting Selected Forest Stand Characteristics with Multispectral ALS Data. - Michele Dalponte; Liviu Theodor Ene; Terje Gobakken; Erik Næsset; Damiano Gianelle (Remote. Sens., 2018)

Comparing Three Different Ground Based Laser Scanning Methods for Tree Stem Detection. - Ivar Oveland; Marius Hauglin; Francesca Giannetti; Narve Schipper Kjørsvik; Terje Gobakken (Remote. Sens., 2018)

Modelling Site Index in Forest Stands Using Airborne Hyperspectral Imagery and Bi-Temporal Laser Scanner Data. - Ole Martin Bollandsås; Hans Ole Ørka; Michele Dalponte; Terje Gobakken; Erik Næsset (Remote. Sens., 2019)

Effects of UAV Image Resolution, Camera Type, and Image Overlap on Accuracy of Biomass Predictions in a Tropical Woodland. - Darío Domingo; Hans Ole Ørka; Erik Næsset; Daud Jones Kachamba; Terje Gobakken (Remote. Sens., 2019)

Optimizing Field Data Collection for Individual Tree Attribute Predictions Using Active Learning Methods. - Salim Malek; Franco Miglietta; Terje Gobakken; Erik Næsset; Damiano Gianelle; Michele Dalponte (Remote. Sens., 2019)

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. - Erik Næsset; Terje Gobakken; Ronald E. McRoberts (Remote. Sens., 2019)

Classifications of Forest Change by Using Bitemporal Airborne Laser Scanner Data. - Lennart Noordermeer; Roar Økseter; Hans Ole Ørka; Terje Gobakken; Erik Næsset; Ole Martin Bollandsås (Remote. Sens., 2019)

Generation of Lidar-Predicted Forest Biomass Maps from Radar Backscatter with Conditional Generative Adversarial Networks. - Sara Björk; Stian Normann Anfinsen; Erik Næsset; Terje Gobakken; Eliakimu Zahabu (IGARSS, 2020)

Use of local and global maps of forest canopy height and aboveground biomass to enhance local estimates of biomass in miombo woodlands in Tanzania. - Erik Næsset; Ronald E. McRoberts; Anssi Pekkarinen; Sassan Saatchi; Maurizio Santoro; Øivind Due Trier; Eliakimu Zahabu; Terje Gobakken (Int. J. Appl. Earth Obs. Geoinformation, 2020)

Use of Remotely Sensed Data to Enhance Estimation of Aboveground Biomass for the Dry Afromontane Forest in South-Central Ethiopia. - Habitamu Taddese; Zerihun Asrat; Ingunn Burud; Terje Gobakken; Hans Ole Ørka; Øystein B. Dick; Erik Næsset (Remote. Sens., 2020)

Comparison of two algorithms for estimating stand-level changes and change indicators in a boreal forest in Norway. - Marie-Claude Jutras-Perreault; Terje Gobakken; Hans Ole Ørka (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Constructing Forest Biomass Prediction Maps from Radar Backscatter by Sequential Regression with a Conditional Generative Adversarial Network. - Sara Björk; Stian Normann Anfinsen; Erik Næsset; Terje Gobakken; Eliakimu Zahabu (CoRR, 2021)

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. - Erik Næsset; Terje Gobakken; Marie-Claude Jutras-Perreault; Eirik Næsset Ramtvedt (Remote. Sens., 2021)

Detection of heartwood rot in Norway spruce trees with lidar and multi-temporal satellite data. - Michele Dalponte; Yady Tatiana Solano Correa; Hans Ole Ørka; Terje Gobakken; Erik Næsset (Int. J. Appl. Earth Obs. Geoinformation, 2022)

UAV-Based Hyperspectral Imagery for Detection of Root, Butt, and Stem Rot in Norway Spruce. - Benjamin Allen; Michele Dalponte; Hans Ole Ørka; Erik Næsset; Stefano Puliti; Rasmus Astrup; Terje Gobakken (Remote. Sens., 2022)

Wood Decay Detection in Norway Spruce Forests Based on Airborne Hyperspectral and ALS Data. - Michele Dalponte; Alvar J. I. Kallio; Hans Ole Ørka; Erik Næsset; Terje Gobakken (Remote. Sens., 2022)

Delineation of Geomorphological Woodland Key Habitats Using Airborne Laser Scanning. - Hans Ole Ørka; Marie-Claude Jutras-Perreault; Jaime Candelas-Bielza; Terje Gobakken (Remote. Sens., 2022)

Fine-Spatial Boreal-Alpine Single-Tree Albedo Measured by UAV: Experiences and Challenges. - Eirik Næsset Ramtvedt; Terje Gobakken; Erik Næsset (Remote. Sens., 2022)

On the Potential of Sequential and Nonsequential Regression Models for Sentinel-1-Based Biomass Prediction in Tanzanian Miombo Forests. - Sara Björk; Stian Normann Anfinsen; Erik Næsset; Terje Gobakken; Eliakimu Zahabu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Forest Parameter Prediction by Multiobjective Deep Learning of Regression Models Trained with Pseudo-Target Imputation. - Sara Björk; Stian Normann Anfinsen; Michael Kampffmeyer; Erik Næsset; Terje Gobakken; Lennart Noordermeer (CoRR, 2023)

Monitoring tree occupancy and height in the Norwegian alpine treeline using a time series of airborne laser scanner data. - Lennart Noordermeer; Jaime Candelas-Bielza; Svetlana Saarela; Terje Gobakken; Ole Martin Bollandsås; Erik Næsset (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Comparison of Different Remotely Sensed Data Sources for Detection of Presence of Standing Dead Trees Using a Tree-Based Approach. - Marie-Claude Jutras-Perreault; Terje Gobakken; Erik Næsset; Hans Ole Ørka (Remote. Sens., 2023)

Mapping and Estimating Aboveground Biomass in an Alpine Treeline Ecotone under Model-Based Inference. - Ritwika Mukhopadhyay; Erik Næsset; Terje Gobakken; Ida Marielle Mienna; Jaime Candelas-Bielza; Gunnar Austrheim; Henrik J. Persson; Hans Ole Ørka; Bjørn-Eirik Roald; Ole Martin Bollandsås (Remote. Sens., 2023)

Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest. - Svein Solberg; Ole Martin Bollandsås; Terje Gobakken; Erik Næsset; Paromita Basak; Laura Innice Duncanson (Remote. Sens., 2024)

Effect of Albedo Footprint Size on Relationships between Measured Albedo and Forest Attributes for Small Forest Plots. - Eirik Næsset Ramtvedt; Hans Ole Ørka; Ole Martin Bollandsås; Erik Næsset; Terje Gobakken (Remote. Sens., 2024)

Semantic segmentation of forest stands using deep learning. - Håkon Næss Sandum; Hans Ole Ørka; Oliver Tomic; Erik Næsset; Terje Gobakken (CoRR, 2025)