Terje Gobakken
Orcid: 0000-0001-5534-049X
According to our database1,
Terje Gobakken
authored at least 43 papers
between 2010 and 2024.
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Bibliography
2024
Remote. Sens., March, 2024
2023
Mapping and Estimating Aboveground Biomass in an Alpine Treeline Ecotone under Model-Based Inference.
Remote. Sens., July, 2023
Comparison of Different Remotely Sensed Data Sources for Detection of Presence of Standing Dead Trees Using a Tree-Based Approach.
Remote. Sens., May, 2023
Monitoring tree occupancy and height in the Norwegian alpine treeline using a time series of airborne laser scanner data.
Int. J. Appl. Earth Obs. Geoinformation, March, 2023
Forest Parameter Prediction by Multiobjective Deep Learning of Regression Models Trained with Pseudo-Target Imputation.
CoRR, 2023
2022
On the Potential of Sequential and Nonsequential Regression Models for Sentinel-1-Based Biomass Prediction in Tanzanian Miombo Forests.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Fine-Spatial Boreal-Alpine Single-Tree Albedo Measured by UAV: Experiences and Challenges.
Remote. Sens., 2022
Remote. Sens., 2022
Wood Decay Detection in Norway Spruce Forests Based on Airborne Hyperspectral and ALS Data.
Remote. Sens., 2022
UAV-Based Hyperspectral Imagery for Detection of Root, Butt, and Stem Rot in Norway Spruce.
Remote. Sens., 2022
Detection of heartwood rot in Norway spruce trees with lidar and multi-temporal satellite data.
Int. J. Appl. Earth Obs. Geoinformation, 2022
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.
Remote. Sens., 2021
Constructing Forest Biomass Prediction Maps from Radar Backscatter by Sequential Regression with a Conditional Generative Adversarial Network.
CoRR, 2021
Comparison of two algorithms for estimating stand-level changes and change indicators in a boreal forest in Norway.
Int. J. Appl. Earth Obs. Geoinformation, 2021
2020
Use of Remotely Sensed Data to Enhance Estimation of Aboveground Biomass for the Dry Afromontane Forest in South-Central Ethiopia.
Remote. Sens., 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.
Int. J. Appl. Earth Obs. Geoinformation, 2020
Generation of Lidar-Predicted Forest Biomass Maps from Radar Backscatter with Conditional Generative Adversarial Networks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
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.
Remote. Sens., 2019
Optimizing Field Data Collection for Individual Tree Attribute Predictions Using Active Learning Methods.
Remote. Sens., 2019
Effects of UAV Image Resolution, Camera Type, and Image Overlap on Accuracy of Biomass Predictions in a Tropical Woodland.
Remote. Sens., 2019
Modelling Site Index in Forest Stands Using Airborne Hyperspectral Imagery and Bi-Temporal Laser Scanner Data.
Remote. Sens., 2019
2018
Comparing Three Different Ground Based Laser Scanning Methods for Tree Stem Detection.
Remote. Sens., 2018
Remote. Sens., 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Modelling above Ground Biomass in Tanzanian Miombo Woodlands Using TanDEM-X WorldDEM and Field Data.
Remote. Sens., 2017
Automatic Estimation of Tree Position and Stem Diameter Using a Moving Terrestrial Laser Scanner.
Remote. Sens., 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.
Remote. Sens., 2017
Individual tree crown approach for predicting site index in boreal forests using airborne laser scanning and hyperspectral data.
Int. J. Appl. Earth Obs. Geoinformation, 2017
2016
Biomass Estimation Using 3D Data from Unmanned Aerial Vehicle Imagery in a Tropical Woodland.
Remote. Sens., 2016
2015
Relative Efficiency of ALS and InSAR for Biomass Estimation in a Tanzanian Rainforest.
Remote. Sens., 2015
Effects of Pulse Density on Digital Terrain Models and Canopy Metrics Using Airborne Laser Scanning in a Tropical Rainforest.
Remote. Sens., 2015
Modeling Aboveground Biomass in Dense Tropical Submontane Rainforest Using Airborne Laser Scanner Data.
Remote. Sens., 2015
2014
Cost-Sensitive Active Learning With Lookahead: Optimizing Field Surveys for Remote Sensing Data Classification.
IEEE Trans. Geosci. Remote. Sens., 2014
Unsupervised Selection of Training Samples for Tree Species Classification Using Hyperspectral Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014
Improving Classification of Airborne Laser Scanning Echoes in the Forest-Tundra Ecotone Using Geostatistical and Statistical Measures.
Remote. Sens., 2014
Automatic Detection of Small Single Trees in the Forest-Tundra Ecotone Using Airborne Laser Scanning.
Remote. Sens., 2014
2013
IEEE Trans. Geosci. Remote. Sens., 2013
Accuracy and Precision for Remote Sensing Applications of Nonlinear Model-Based Inference.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013
Optimizing the ground sample collection with cost-sensitive active learning for tree species classification using hyperspectral images.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
2010
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010