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Terje Gobakken
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2020 – today
- 2024
- [j38]Svein Solberg
, Ole Martin Bollandsås, Terje Gobakken
Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest. Remote. Sens. 16(5): 861 (2024) - [j37]Eirik Næsset Ramtvedt, Hans Ole Ørka, Ole Martin Bollandsås, Erik Næsset, Terje Gobakken
Effect of Albedo Footprint Size on Relationships between Measured Albedo and Forest Attributes for Small Forest Plots. Remote. Sens. 16(16): 3085 (2024) - 2023
- [j36]Lennart Noordermeer, Jaime Candelas-Bielza
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 117: 103201 (2023) - [j35]Marie-Claude Jutras-Perreault
Comparison of Different Remotely Sensed Data Sources for Detection of Presence of Standing Dead Trees Using a Tree-Based Approach. Remote. Sens. 15(9): 2223 (2023) - [j34]Ritwika Mukhopadhyay, Erik Næsset
Mapping and Estimating Aboveground Biomass in an Alpine Treeline Ecotone under Model-Based Inference. Remote. Sens. 15(14): 3508 (2023) - [i2]Sara Björk, Stian Normann Anfinsen, Michael Kampffmeyer, Erik Næsset, Terje Gobakken, Lennart Noordermeer:
Forest Parameter Prediction by Multiobjective Deep Learning of Regression Models Trained with Pseudo-Target Imputation. CoRR abs/2306.11103 (2023) - 2022
- [j33]Michele Dalponte, Yady Tatiana Solano Correa
Detection of heartwood rot in Norway spruce trees with lidar and multi-temporal satellite data. Int. J. Appl. Earth Obs. Geoinformation 109: 102790 (2022) - [j32]Hans Ole Ørka
Delineation of Geomorphological Woodland Key Habitats Using Airborne Laser Scanning. Remote. Sens. 14(5): 1184 (2022) - [j31]Eirik Næsset Ramtvedt, Terje Gobakken
Fine-Spatial Boreal-Alpine Single-Tree Albedo Measured by UAV: Experiences and Challenges. Remote. Sens. 14(6): 1482 (2022) - [j30]Michele Dalponte
Wood Decay Detection in Norway Spruce Forests Based on Airborne Hyperspectral and ALS Data. Remote. Sens. 14(8): 1892 (2022) - [j29]Benjamin Allen, Michele Dalponte
UAV-Based Hyperspectral Imagery for Detection of Root, Butt, and Stem Rot in Norway Spruce. Remote. Sens. 14(15): 3830 (2022) - [j28]Sara Björk
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. 15: 4612-4639 (2022) - 2021
- [j27]Marie-Claude Jutras-Perreault
Comparison of two algorithms for estimating stand-level changes and change indicators in a boreal forest in Norway. Int. J. Appl. Earth Obs. Geoinformation 98: 102316 (2021) - [j26]Erik Næsset, Terje Gobakken
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. 13(13): 2469 (2021) - [i1]Sara Björk, Stian Normann Anfinsen
Constructing Forest Biomass Prediction Maps from Radar Backscatter by Sequential Regression with a Conditional Generative Adversarial Network. CoRR abs/2106.15020 (2021) - 2020
- [j25]Erik Næsset
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 89: 102109 (2020) - [j24]Erik Næsset
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 93: 102138 (2020) - [j23]Habitamu Taddese
Use of Remotely Sensed Data to Enhance Estimation of Aboveground Biomass for the Dry Afromontane Forest in South-Central Ethiopia. Remote. Sens. 12(20): 3335 (2020) - [c5]Sara Björk
Generation of Lidar-Predicted Forest Biomass Maps from Radar Backscatter with Conditional Generative Adversarial Networks. IGARSS 2020: 4327-4330
2010 – 2019
- 2019
- [j22]Darío Domingo
Effects of UAV Image Resolution, Camera Type, and Image Overlap on Accuracy of Biomass Predictions in a Tropical Woodland. Remote. Sens. 11(8): 948 (2019) - [j21]Salim Malek
Optimizing Field Data Collection for Individual Tree Attribute Predictions Using Active Learning Methods. Remote. Sens. 11(8): 949 (2019) - [j20]Ole Martin Bollandsås
Modelling Site Index in Forest Stands Using Airborne Hyperspectral Imagery and Bi-Temporal Laser Scanner Data. Remote. Sens. 11(9): 1020 (2019) - [j19]Erik Næsset
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. 11(15): 1804 (2019) - [j18]Lennart Noordermeer, Roar Økseter, Hans Ole Ørka
Classifications of Forest Change by Using Bitemporal Airborne Laser Scanner Data. Remote. Sens. 11(18): 2145 (2019) - 2018
- [j17]Ivar Oveland
Comparing Three Different Ground Based Laser Scanning Methods for Tree Stem Detection. Remote. Sens. 10(4): 538 (2018) - [j16]Michele Dalponte
Predicting Selected Forest Stand Characteristics with Multispectral ALS Data. Remote. Sens. 10(4): 586 (2018) - [c4]Michele Dalponte
Prediction of Forest Attributes with Multispectral Lidar Data. IGARSS 2018: 7528-7531 - 2017
- [j15]Kaja Kandare, Hans Ole Ørka
Individual tree crown approach for predicting site index in boreal forests using airborne laser scanning and hyperspectral data. Int. J. Appl. Earth Obs. Geoinformation 60: 72-82 (2017) - [j14]Ivar Oveland
Automatic Estimation of Tree Position and Stem Diameter Using a Moving Terrestrial Laser Scanner. Remote. Sens. 9(4): 350 (2017) - [j13]Daud Jones Kachamba
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. 9(6): 610 (2017) - [j12]Stefano Puliti
Modelling above Ground Biomass in Tanzanian Miombo Woodlands Using TanDEM-X WorldDEM and Field Data. Remote. Sens. 9(10): 984 (2017) - 2016
- [j11]Daud Jones Kachamba
Biomass Estimation Using 3D Data from Unmanned Aerial Vehicle Imagery in a Tropical Woodland. Remote. Sens. 8(11): 968 (2016) - 2015
- [j10]Endre Hofstad Hansen
Modeling Aboveground Biomass in Dense Tropical Submontane Rainforest Using Airborne Laser Scanner Data. Remote. Sens. 7(1): 788-807 (2015) - [j9]Endre Hofstad Hansen
Effects of Pulse Density on Digital Terrain Models and Canopy Metrics Using Airborne Laser Scanning in a Tropical Rainforest. Remote. Sens. 7(7): 8453-8468 (2015) - [j8]Stefano Puliti
Inventory of Small Forest Areas Using an Unmanned Aerial System. Remote. Sens. 7(8): 9632-9654 (2015) - [j7]Endre Hofstad Hansen
Relative Efficiency of ALS and InSAR for Biomass Estimation in a Tanzanian Rainforest. Remote. Sens. 7(8): 9865-9885 (2015) - 2014
- [j6]Nadja Stumberg, Marius Hauglin
Improving Classification of Airborne Laser Scanning Echoes in the Forest-Tundra Ecotone Using Geostatistical and Statistical Measures. Remote. Sens. 6(5): 4582-4599 (2014) - [j5]Nadja Stumberg, Ole Martin Bollandsås
Automatic Detection of Small Single Trees in the Forest-Tundra Ecotone Using Airborne Laser Scanning. Remote. Sens. 6(10): 10152-10170 (2014) - [j4]Michele Dalponte
Unsupervised Selection of Training Samples for Tree Species Classification Using Hyperspectral Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(8): 3560-3569 (2014) - [j3]Claudio Persello
Cost-Sensitive Active Learning With Lookahead: Optimizing Field Surveys for Remote Sensing Data Classification. IEEE Trans. Geosci. Remote. Sens. 52(10): 6652-6664 (2014) - 2013
- [j2]Ronald E. McRoberts, Erik Næsset
Accuracy and Precision for Remote Sensing Applications of Nonlinear Model-Based Inference. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(1): 27-34 (2013) - [j1]Michele Dalponte
Tree Species Classification in Boreal Forests With Hyperspectral Data. IEEE Trans. Geosci. Remote. Sens. 51(5-1): 2632-2645 (2013) - [c3]Claudio Persello
Optimizing the ground sample collection with cost-sensitive active learning for tree species classification using hyperspectral images. IGARSS 2013: 2091-2094 - [c2]Michele Dalponte
Unsupervised selection of training plots and trees for tree species classification. IGARSS 2013: 2095-2098 - 2010
- [c1]Ross F. Nelson, Göran Ståhl, Sören Holm, Timothy G. Gregoire, Erik Næsset
Using airborne & space lidars for large-area inventory. IGARSS 2010: 2463-2466
Coauthor Index
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