Kenneth Olofsson

Swedish University of Agricultural Sciences — Sweden

Environmental Science · Physical Sciences

19h-index1.7kcitations55works2.32yr avg
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Research Topics

Remote Sensing and LiDAR Applications(30), Forest ecology and management(24), Forest Ecology and Biodiversity Studies(13), Remote Sensing in Agriculture(10), Optical measurement and interference techniques(8)

Publications55 total

Boreal tree species classification using airborne laser scanning data annotated with harvester production reports, and convolutional neural networks
International Journal of Applied Earth Observation and Geoinformation·2025· 1 citedOpen Access
Mobile laser scanning as reference for estimation of stem attributes from airborne laser scanning
Remote Sensing of Environment·2024· 5 citedOpen Access
Boreal Tree Species Classification Using Airborne Laser Scanning Data Annotated with Harvester Production Reports and Convolutional Neural Networks
SSRN Electronic Journal·2024· 1 citedOpen Access
Stem Quality Estimates Using Terrestrial Laser Scanning Voxelized Data and a Voting-Based Branch Detection Algorithm
Remote Sensing·2023· 1 citedOpen Access
Individual tree detection and estimation of stem attributes with mobile laser scanning along boreal forest roads
ISPRS Journal of Photogrammetry and Remote Sensing·2022· 45 citedOpen Access
Two-phase forest inventory using very-high-resolution laser scanning
Remote Sensing of Environment·2022· 31 citedOpen Access
Tree crown segmentation in three dimensions using density models derived from airborne laser scanning
International Journal of Remote Sensing·2022· 11 citedOpen Access
Co-registration of single tree maps and data captured by a moving sensor using stem diameter weighted linking
Silva Fennica·2022· 4 citedOpen Access
Benchmarking of Terrestrial Laser Scanning Approaches for Forest Inventories: Part II : Results, Discussion and Outlooks (joint project of EuroSDR and ISPRS)
2019
International benchmarking of terrestrial laser scanning approaches for forest inventories
ISPRS Journal of Photogrammetry and Remote Sensing·2018· 440 citedOpen Access
Bias of cylinder diameter estimation from ground-based laser scanners with different beam widths: A simulation study
ISPRS Journal of Photogrammetry and Remote Sensing·2017· 32 citedOpen Access
Performance of stem denoising and stem modelling algorithms on single tree point clouds from terrestrial laser scanning
Computers and Electronics in Agriculture·2017· 94 citedOpen Access
TREE STEM AND CANOPY BIOMASS ESTIMATES FROM TERRESTRIAL LASER SCANNING DATA
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences·2017· 5 citedOpen Access
ESTIMATION OF TREE POSITION AND STEM DIAMETER USING SIMULTANEOUS LOCALIZATION AND MAPPING WITH DATA FROM A BACKPACK-MOUNTED LASER SCANNER
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences·2017· 15 citedOpen Access
Estimating tree stem density and diameter distribution in single-scan terrestrial laser measurements of field plots: a simulation study
Scandinavian Journal of Forest Research·2017· 19 cited
Estimating vertical canopy cover using dense image-based point cloud data in four vegetation types in southern Sweden
International Journal of Remote Sensing·2017· 21 citedOpen Access
Markbaserad laserskanning - ger stammars form och läge
Epsilon Open Archive (Sveriges lantbruksuniversitet biblioteket (Swedish University of Agricultural Sciences))·2017Open Access
Tree Stem Diameter Estimation from Mobile Laser Scanning Using Line-Wise Intensity-Based Clustering
Forests·2016· 53 citedOpen Access
Single Tree Stem Profile Detection Using Terrestrial Laser Scanner Data, Flatness Saliency Features and Curvature Properties
Forests·2016· 70 citedOpen Access
Tree Stem and Height Measurements using Terrestrial Laser Scanning and the RANSAC Algorithm
Remote Sensing·2014· 229 citedOpen Access
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Frequent Co-authors

Johan Holmgren(23), Eva Lindberg(12), Håkan Olsson(11), Henrik Persson(6), Jörgen Wallerman(4), Raul de Paula Pires(4), Anders Kyösti(4), Mattias Nyström(3), Nils-Erik Molin(3), Nedo Celandroni(3), Erina Ferro(3), Luciano Lenzini(3), Xinlian Liang(2), Juha Hyyppä(2), Harri Kaartinen(2), Matti Lehtomäki(2), Jiri Pyörälä(2), Norbert Pfeifer(2), Gábor Brolly(2), Francesco Pirotti(2)