Gobakken, T.
* 2007: Assessing Effects of Laser Point Density on Biophysical Stand Properties Derived from Airborne Laser Scanner Data in Mature Forest
* 2007: Simulating Sampling Efficiency in Airborne Laser Scanning Based Forest Inventory
* 2013: Estimating single-tree branch biomass of Norway spruce by airborne laser scanning
* 2013: Tree Species Classification in Boreal Forests With Hyperspectral Data
* 2014: Automatic Detection of Small Single Trees in the Forest-Tundra Ecotone Using Airborne Laser Scanning
* 2014: Cost-Sensitive Active Learning With Lookahead: Optimizing Field Surveys for Remote Sensing Data Classification
* 2014: Deriving airborne laser scanning based computational canopy volume for forest biomass and allometry studies
* 2014: Improving Classification of Airborne Laser Scanning Echoes in the Forest-Tundra Ecotone Using Geostatistical and Statistical Measures
* 2015: Effects of Pulse Density on Digital Terrain Models and Canopy Metrics Using Airborne Laser Scanning in a Tropical Rainforest
* 2015: Inventory of Small Forest Areas Using an Unmanned Aerial System
* 2015: Modeling Aboveground Biomass in Dense Tropical Submontane Rainforest Using Airborne Laser Scanner Data
* 2015: Relative Efficiency of ALS and InSAR for Biomass Estimation in a Tanzanian Rainforest
* 2015: Semi-supervised SVM for individual tree crown species classification
* 2016: Biomass Estimation Using 3D Data from Unmanned Aerial Vehicle Imagery in a Tropical Woodland
* 2017: Automatic Estimation of Tree Position and Stem Diameter Using a Moving Terrestrial Laser Scanner
* 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
* 2017: Modelling above Ground Biomass in Tanzanian Miombo Woodlands Using TanDEM-X WorldDEM and Field Data
* 2018: Comparing Three Different Ground Based Laser Scanning Methods for Tree Stem Detection
* 2018: Predicting Selected Forest Stand Characteristics with Multispectral ALS Data
* 2019: Classifications of Forest Change by Using Bitemporal Airborne Laser Scanner Data
* 2019: Effects of UAV Image Resolution, Camera Type, and Image Overlap on Accuracy of Biomass Predictions in a Tropical Woodland
* 2019: 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, A
* 2019: Modelling Site Index in Forest Stands Using Airborne Hyperspectral Imagery and Bi-Temporal Laser Scanner Data
* 2019: Optimizing Field Data Collection for Individual Tree Attribute Predictions Using Active Learning Methods
* 2020: Use of Remotely Sensed Data to Enhance Estimation of Aboveground Biomass for the Dry Afromontane Forest in South-Central Ethiopia
* 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
* 2022: Delineation of Geomorphological Woodland Key Habitats Using Airborne Laser Scanning
* 2022: Fine-Spatial Boreal-Alpine Single-Tree Albedo Measured by UAV: Experiences and Challenges
* 2022: UAV-Based Hyperspectral Imagery for Detection of Root, Butt, and Stem Rot in Norway Spruce
* 2022: Wood Decay Detection in Norway Spruce Forests Based on Airborne Hyperspectral and ALS Data
* 2023: Mapping and Estimating Aboveground Biomass in an Alpine Treeline Ecotone under Model-Based Inference
* 2024: Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest
Includes: Gobakken, T. Gobakken, T.[Terje]
32 for Gobakken, T.
Gobara, M.[Mohamed]
* 2006: Feature Detection with an Improved Anisotropic Filter