Eva Lindberg

Senior Lecturer at the Department of Forest Resource Management (SRH); Division of Forest Remote Sensing

The main focus of my research is development of new automatic methods to derive information relevant for different aspects of vegetation analysis and mapping, in particular tree species and habitat analysis, from remotely sensed data, primarily airborne laser scanning (ALS, i.e., three-dimensional) data. This is a technical topic including sensors as well as programming and scripting for data analysis, but it also includes research about the natural processes that are related to the information of interest: the influence of canopy structure on the habitats of birds, insects, and lichens in forests, the influence of properties of trees and canopy on the occurrence of lichens as well as the structure and phenology of different tree species.

Recorded lectures/presentations

Next generation forest maps provide more information for sustainable forest management in the lecture series Worth Knowing, October 3rd, 2018 at SLU in Umeå.

Docent lecture Mapping of tree species and biodiversity in forests from remotely sensed data, May 4th, 2021.

Applied Remote Sensing in Forestry SG0261 - Spring 2022, spring 2023

Remote Sensing and Forest Inventory SG0153 - Fall 2009, fall 2010, spring 2016, spring 2017, spring 2018, spring 2019

Statistik och skogsinventering SG0204 - Fall 2018

Laserskanning och digital fotogrammetri i skogsbruket SG0241 - Fall 2018

Docent in technology, 2021, Swedish University of Agricultural Sciences, Faculty of Forest Sciences

PostDoc at the Department of Geodesy and Geoinformation, TU Wien, 2013-2015

Doctor of Philosophy in Technology, 2012, Swedish University of Agricultural Sciences, SRH. Title: Estimation of canopy structure and individual trees from laser scanning data, main supervisor: Håkan Olsson

Master of Science in Engineering Physics, 2000, Umeå University

Ongoing

•    Main supervisor of PhD student Luiz Cosimo, SLU, SRH, admitted in 2024, expected defense 2028, SLU Umeå

•    Main supervisor of PhD student Louisa Eurich, SLU, SRH, admitted in 2023, expected defense 2027, SLU Umeå

•    Co-supervisor of PhD student Sara López Fernández, SLU, Department of Forest Mycology and Plant Pathology, admitted in 2023, expected defense 2027, main supervisor Malin Elfstrand, SLU Uppsala

•    Co-supervisor of PhD student Annica Nordström, SLU, Department of Forest Genetics and Plant Physiology, admitted in 2023, expected defense 2027, main supervisor Rosario Garcia Gil, SLU Umeå

•    Co-supervisor of PhD student Ritwika Mukhopadhyay, SLU, SRH, admitted in 2020, expected defense 2024, main supervisor Henrik Persson, SLU Umeå

•    Co-supervisor of PhD student Raul de Paula Pires, SLU, SRH, admitted in 2020, expected defense 2026, main supervisor Johan Holmgren, SLU Umeå

•    Co-supervisor of PhD student Lukas Holmström, SLU, Department of Wildlife, Fish and Environmental Studies, admitted in 2020, expected defense 2024, main supervisor Jörgen Sjögren, SLU Umeå

•    Main supervisor of Master student Iosif Nikolaos Al Sheikh Aly, expected exam 2024, SLU Umeå

Completed

•    Main supervisor of PhD student Arvid Axelsson, SLU, SRH, Tree Species Classification : Analyzing Multitemporal Satellite Imagery and Multispectral Airborne Laser Scanning Data, defense 2023, SLU Umeå

•    Main supervisor of Master student Sirajum Munira, SLU, SRH, Transferability Analysis of Individual Tree Species Classification and Volume Estimation using Dual-Wavelength Airborne Laser Scanning in Boreal Forests, 2022

•    Supervisor of PostDoc Langning Huo, SLU, SRH, 2019-2021

•    Co-supervisor of PhD student Nils Lindgren, SLU, SRH, Data assimilation of forest variables predicted from remote sensing data, 2021, main supervisor Håkan Olsson, SLU Umeå

•    Co-supervisor of PhD student Julian Klein, SLU, Department of Ecology, The forgotten forest : on thinning, retention, and biodiversity in the boreal forest, 2020, main supervisor Sönke Eggers, SLU Uppsala

•    Co-supervisor of Master student Marian Schimka, SLU, SRH (Geographisches Institut, Universität Heidelberg, Germany), title Operationality Assessment of Dual-Wavelength Airborne Laser Scanning for Tree Species Classification in Boreal Forests, 2020, main supervisor Bernhard Höfle, Universität Heidelberg

•    Main supervisor of Master student Carl Jansson, SLU, SRH, Identifiering av fullskiktade bestånd med stereomatchade flygbilder och laserskanning, 2018

•    Co-supervisor of Master student Magnus Persson, SLU, SRH, Tree species classification using multi-temporal Sentinel-2 data, 2018, main supervisor Heather Reese, SLU Umeå

•    Main supervisor of Master student Arvid Axelsson, SLU, SRH, Using multispectral ALS for tree species identification, 2018

•    Co-supervisor of Master student Emil Larsson, SLU, Department of Wildlife, Fish, and Environmental Studies, 3D vegetation structure influence on boreal forest bird species richness, 2017, main supervisor Johan Svensson, SLU Umeå

•    Co-supervisor of Master student Edward Sjödin, SLU, SRH, Analys av säsongsvariationer vid skattning av skogliga variabler med InSAR teknik, 2016, main supervisor Henrik Persson, SLU Umeå

•    Main supervisor of Bachelor student Nicoleta Iurist, TU Wien, Department of Geodesy and Geoinformation, title 3D Modeling and Individual Tree-Crown Delineation Based on Very High Resolution Satellite Images, 2015

See Publications list at the end of this page for scientific papers.

New publications

Lindberg, E., Holmgren, J., & Olsson, H. (2021). Classification of tree species classes in a hemi-boreal forest from multispectral airborne laser scanning data using a mini raster cell method. International Journal of Applied Earth Observation and Geoinformation, 100, 102334, DOI: 10.1016/j.jag.2021.102334

Huo, L., Persson, H.J., & Lindberg, E. (2024). Analyzing the environmental risk factors of European spruce bark beetle damage at the local scale. European Journal of Forest Research, DOI: 10.1007/s10342-024-01662-4

Huo, L., Strengbom, J., Lundmark, T., Westerfelt, P., & Lindberg, E. (2023). Estimating the conservation value of boreal forests using airborne laser scanning. Ecological Indicators, 147, 109946, DOI: 10.1016/j.ecolind.2023.109946

Doctoral thesis

Lindberg,E   (2012).  Estimation of canopy structure and individual trees from laser scanning data  Diss.  Umeå: Institutionen för skoglig resurshushållning, Sveriges lantbruksuniversitet . (2012:33) .

Fact sheets

Olofsson, K et al. (2017). Markbaserad laserskanning Uppsala: Fakulteten för skogsvetenskap, Sveriges lantbruksuniversitet. (2017:2). 

Lindberg, E. & Holmgren, J. (2014). Flygburen laserskanning för skogliga skattningar  Uppsala: Sveriges lantbruksuniversitet. (4).

Bibliometric indicators from Web of Science on 2023-10-31

Total Publications 36, h-index 17, sum of times cited 1148 (1096 without self citations), citing articles 934 (911 without self citations).

Profile in ResearchGate

ORCID 0000-0002-1792-0773

Peer review of scientific papers in Publons database

Co-convener of the session Remote Sensing for forest applications in European Geosciences Union General Assembly 

•    Vienna, Austria | 8–13 April 2018

•    Vienna, Austria | 7–12 April 2019

•    Online | 4–8 May 2020

•    vEGU21: Gather Online | 19–30 April 2021

•    Vienna, Austria & Online | 23–28 April 2023

•    Vienna, Austria & Online | 14–19 April 2024

Research programs

Mistra Digital Forest Financed by The Swedish Foundation for Strategic Environmental Research (Mistra) 2019-2022.

Mapping and environmental monitoring with airborne laser scanning and digital images (EMMA) Financed by the Swedish Environmental Protection Agency 2009-2013.

Grants received

•    Remotely-sensed indicators for biodiversity 2024 – 2026, Stora Enso AB. Main applicant. Total sum SEK 2 485 000

•    Landscape Breeding: A new paradigm in forest tree management 2022-2026, Swedish Foundation for Strategic Research. Co-applicant (Main applicant María Rosario García-Gil, SLU). Total sum SEK 34 000 000

•    In conflict or conformity? The role of forest conservation in bark-beetle outbreak dynamics 2022 – 2025, Formas. Co-applicant (Main applicant Simon Kärvemo, SLU). Total sum 3 464 052

•    A continuation observation of the bark beetle infestations from both field and remote sensing 2022-2023, Hildur och Sven Wingquists foundation for forest research. Co-applicant (Main applicant Langning Huo, SLU). Total sum SEK 1 026 000 

•    Satellites and drones in future forest remote sensing research 2021 – 2022, Hildur och Sven Wingquists foundation for forest research. Co-applicant (Main applicant Henrik Persson, SLU). Total sum SEK 1 050 000

•    Improved detection and prediction of spruce bark beetle infestations 2021 – 2022, Stiftelsen Nils och Dorthi Troêdssons forskningsfond. Co-applicant (Main applicant Langning Huo, SLU). Total sum SEK 519 163

•    Improved detection and prediction of spruce bark beetle infestations 2021 – 2022, The Foundation Seydlitz MP bolagen. Co-applicant (Main applicant Langning Huo, SLU). Total sum SEK 879 566

•    Biodiversity indicators from laser data 2020 – 2021, Mistra Digital Forest research program. Main applicant. Total sum SEK 750 000

•    Tree species classification from remote sensing - next generation forest maps for ecology and management 2019 – 2021, Formas. Main applicant. Total sum SEK 2 999 133

•    New forest maps with tree species information from time series of satellite data 2019 – 2021, The Swedish Forest Society Foundation. Main applicant. Total sum SEK 1 311 505

•    Detection of spruce bark beetle attacks from new remotely sensed data and continuity in data from Remningstorp 2019 – 2021, Hildur och Sven Wingquists foundation for forest research. Main applicant. Total sum SEK 1 200 000

•    New techniques for forest management planning 2017 – 2018, Hildur och Sven Wingquists foundation for forest research. Co-applicant (Main applicant Håkan Olsson, SLU). Total sum SEK 1 100 000

•    The forgotten forest - linking commercial thinning and biodiversity for sustainable biomass production in boreal forest 2016 – 2018, Formas. Co-applicant (Main applicant Sönke Eggers, SLU). Total sum SEK 5 417 000

•    Tree species information from airborne and ground-based sensors 2016 – 2018, Hildur och Sven Wingquists foundation for forest research. Main applicant. Total sum SEK 1 800 000

•    Uneven-aged forest management and declining bird species: Does one (tree) size fit all? 2016 – 2018, Formas. Co-applicant (Main applicant Jean-Michel Roberge, SLU). Total sum SEK 2 997 000

•    Iterative land cover classif. using assimilation of multiple Sentinel-2 images w/ HiddenMMs 2016 – 2018, The Swedish National Space Agency. Co-applicant (Main applicant Heather Reese, SLU). Total sum SEK 3 133 000

•    Mapping of lichen-rich forests as a tool for forest landscape planning 2015 – 2017, Formas. Co-applicant (Main applicant Henrik Hedenås, SLU). Total sum SEK 4 842 000

•    Data assimilation for supporting sustainable forestry 2015 – 2017, Formas. Co-applicant (Main applicant Håkan Olsson, SLU). Total sum SEK 5 000 000

•    Habitat suitability information from airborne laser scanning data 2013 – 2016, Formas. Main applicant. Total sum SEK 2 368 850

•    Field inventory - habitat suitability information from airborne laser scanning data 2013 – 2014, Faculty of Forest Sciences, Swedish University of Agricultural Sciences. Main applicant. Total sum SEK 120 000

•    Improved methods to describe tree species and stem diameters from airborne laser scanning 2012 – 2013, Karl Erik Önnesjö's foundation for scientific research and development. Main applicant. Total sum SEK 400 000