Henrik Persson

Department of Forest Resource Management

Faculty of Forest Sciences

Email: henrik.persson@slu.se
ORCID: 0000-0002-3403-057X

Publications

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2023

Assessing the detectability of European spruce bark beetle green attack in multispectral drone images with high spatial- and temporal resolutions

Huo, Langning; Lindberg, Eva; Bohlin, Jonas et al. 2023. DOI: 10.1016/j.rse.2023.113484

Research article (Peer reviewed)

Monitoring as a field

Allard, Anna; Wood, Claire; Norton, Lisa et al. 2023. DOI: 10.4324/9781003179245-2

Book chapter (Peer reviewed)

Mapping and Estimating Aboveground Biomass in an Alpine Treeline Ecotone under Model-Based Inference

Mukhopadhyay, Ritwika; Naesset, Erik; Gobakken, Terje et al. 2023. DOI: 10.3390/rs15143508

Research article (Peer reviewed)

Different triggers, different stories: Bark-beetle infestation patterns after storm and drought-induced outbreaks

Karvemo, S.; Huo, L.; Ohrn, P. et al. 2023. DOI: 10.1016/j.foreco.2023.121255

Research article (Peer reviewed)

A concept for application of integrated digital technologies to enhance future smart agricultural systems

Gebresenbet, Girma; Bosona, Techane; Patterson, David et al. 2023. DOI: 10.1016/j.atech.2023.100255

Research article (Peer reviewed)

The use of dual-wavelength airborne laser scanning for estimating tree species composition and species-specific stem volumes in a boreal forest

Axelsson, Christoffer R.; Lindberg, Eva; Persson, Henrik J. et al. 2023. DOI: 10.1016/j.jag.2023.103251

Research article (Peer reviewed)

Prediction of Site Index and Age Using Time Series of TanDEM-X Phase Heights

Huuva, Ivan; Wallerman, Jörgen; Fransson, Johan E. S. et al. 2023. DOI: 10.3390/rs15174195

Research article (Peer reviewed)

Comparing TanDEM-X InSAR Forest Stand Volume Prediction Models Trained Using Field and ALS Data

Mukhopadhyay, Ritwika; Nilsson, Mats; Ekström, Magnus et al. 2023. DOI: 10.1109/IGARSS52108.2023.10281911

Conference paper

Green Attack or Overfitting? Comparing Machine-Learning- and Vegetation-Index-Based Methods to Early Detect European Spruce Bark Beetle Attacks Using Multispectral Drone Images

Huo, Langning; Persson, Henrik; Bohlin, Jonas et al. 2023. DOI: 10.1109/IGARSS52108.2023.10282624

Conference paper (Peer reviewed)

Prediction of Hemi-Boreal Forest Biomass Change Using Alos-2 Palsar-2 L-Band SAR Backscatter

Huuva, Ivan; Persson, Henrik; Wallerman, Jörgen et al. 2023. DOI: 10.1109/IGARSS52108.2023.10281996

Conference paper (Peer reviewed)

2022

Tree crown segmentation in three dimensions using density models derived from airborne laser scanning

Holmgren, Johan; Lindberg, Eva; Olofsson, Kenneth et al. 2022. DOI: 10.1080/01431161.2021.2018149

Research article (Peer reviewed)

Two-phase forest inventory using very-high-resolution laser scanning

Persson, Henrik J.; Olofsson, Kenneth; Holmgren, Johan. 2022. DOI: 10.1016/j.rse.2022.112909

Research article (Peer reviewed)

Individual tree detection and estimation of stem attributes with mobile laser scanning along boreal forest roads

Olofsson, Kenneth; Lindberg, Eva; Holmgren, Johan et al. 2022. DOI: 10.1016/j.isprsjprs.2022.03.004

Research article (Peer reviewed)

Learning multiobjective rough terrain traversability

Wallin, Erik; Wiberg, Viktor; Vesterlund, Folke et al. 2022. DOI: 10.1016/j.jterra.2022.04.002

Research article (Peer reviewed)

Comparing Spectral Differences Between Healthy and Early Infested Spruce Forests Caused by Bark Beetle Attacks using Satellite Images

Huo, Langning; Lindberg, Eva; Fransson, Johan E. S. et al. 2022. DOI: 10.1109/IGARSS46834.2022.9883420

Conference paper (Peer reviewed)

Detectability of Silvicultural Treatments in Time Series of Penetration Depth Corrected Tandem-X Phase Heights

Huuva, Ivan; Persson, Henrik J.; Wallerman, Jorgen et al. 2022. DOI: 10.1109/IGARSS46834.2022.9884951

Conference paper (Peer reviewed)

Rapid mapping of final fellings using Sentinel-1 data for a boreal forest test-site in Sweden

Mukhopadhyay, Ritwika; Lindberg, Eva; Ekström, Magnus et al. 2022.

Conference abstract (Peer reviewed)

Potential of mapping forest damage from remotely sensed data

Lindberg, Eva; Bohlin, Inka; Bohlin, Jonas et al. 2022.

Report

Quantify and account for field reference errors in forest remote sensing studies

Persson, Henrik Jan; Ekstrom, Magnus; Stahl, Goran. 2022. DOI: 10.1016/j.rse.2022.113302

Research article (Peer reviewed)

Comparing Spectral Differences Between Healthy and Early Infested Spruce Forests Attacked by Bark Beetles Using Satellite Images

Huo, Langning; Lindberg, Eva; Fransson, Johan et al. 2022.

Conference poster

Detectability of European spruce bark beetle green-attack using multispectral drone images

Huo, Langning; Lindberg, Eva; Bohlin, Jonas et al. 2022.

Conference abstract (Peer reviewed)

Tree species classification using mobile laser scanner along boreal forest roads

de Paula Pires, Raul; Lindberg, Eva; Persson, Henrik et al. 2022.

Conference abstract (Peer reviewed)

2021

Impact of sample size – empirical results from a hybrid inference two-phase inventory based on dense laser scanning

Persson, Henrik; Olofsson, Kenneth; Holmgren, Johan. 2021. DOI: 10.34726/wim.1932

Conference paper (Peer reviewed)

Influence of distance to the road on stem detection with car-mounted mobile laser scanner

de Paula Pires, Raul; Holmgren, Johan; Persson, Henrik et al. 2021. DOI: 10.34726/wim.1964

Conference paper (Peer reviewed)

Impact of plot size and extended extraction regions of TanDEM-X phase height in relation to forest variables

Huuva, Ivan; Persson, Henrik; Wallerman, Jörgen et al. 2021. DOI: 10.1109/IGARSS47720.2021.9553388

Conference paper (Peer reviewed)

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