Eva Lindberg

Department of Forest Resource Management

Faculty of Forest Sciences

Email: Eva.Lindberg@slu.se
ORCID: 0000-0002-1792-0773

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)

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)

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)

Estimating the conservation value of boreal forests using airborne laser scanning

Huo, Langning; Strengbom, Joachim; Lundmark, Tomas et al. 2023. DOI: 10.1016/j.ecolind.2023.109946

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)

2022

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)

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

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)

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)

Towards low vegetation identification: A new method for tree crown segmentation from LiDAR data based on a symmetrical structure detection algorithm (SSD)

Huo, Langning; Lindberg, Eva; Holmgren, Johan. 2022. DOI: 10.1016/j.rse.2021.112857

Research article (Peer reviewed)

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)

2021

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)

Tree crown segmentation from LiDAR data based on a symmetrical structure detection algorithm (SSD)

Huo, Langning; Lindberg, Eva; Holmgren, Johan. 2021. DOI: 10.34726/wim.1904

Conference paper (Peer reviewed)

Estimation of nature conservation value using airborne laser scanning data by deadwood recognition

Huo, Langning; Strengbom, Joachim; Lindberg, Eva. 2021. DOI: 10.34726/wim.1938

Conference paper (Peer reviewed)

Tree species identity and composition shape the epiphytic lichen community of structurally simple boreal forests over vast areas

Klein, Julian; Low, Matthew; Thor, Göran et al. 2021. DOI: 10.1371/journal.pone.0257564

Research article (Peer reviewed)

Classification of tree species classes in a hemi-boreal forest from multispectral airborne laser scanning data using a mini raster cell method

Lindberg, Eva; Holmgren, Johan; Olsson, Hakan. 2021. DOI: 10.1016/j.jag.2021.102334

Research article (Peer reviewed)

Tree species classification using Sentinel-2 imagery and Bayesian inference

Axelsson, Arvid; Lindberg, Eva; Reese, Heather et al. 2021. DOI: 10.1016/j.jag.2021.102318

Research article (Peer reviewed)

Early detection of forest stress from European spruce bark beetle attack, and a new vegetation index: Normalized distance red & SWIR (NDRS)

Huo, Langning; Persson, Henrik Jan; Lindberg, Eva. 2021. DOI: 10.1016/j.rse.2020.112240

Research article (Peer reviewed)

2020

Normalized Projected Red & SWIR (NPRS): A New Vegetation Index for Forest Health Estimation and Its Application on Spruce Bark Beetle Attack Detection

Huo, Langning; Lindberg, Eva; Persson, Henrik. 2020. DOI: 10.1109/IGARSS39084.2020.9323611

Conference paper (Peer reviewed)

Individual tree detection using template matching of multiple rasters derived from multispectral airborne laser scanning data

Huo, Langning; Lindberg, Eva. 2020. DOI: 10.1080/01431161.2020.1800127

Research article (Peer reviewed)

Comparing the effects of even-aged thinning and selective felling on boreal forest birds

Versluijs, Martijn; Hekkala, Anne-Maarit; Lindberg, Eva et al. 2020. DOI: 10.1016/j.foreco.2020.118404

Research article (Peer reviewed)

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