TUOMAS YRTTIMAA
Postdoctoral Researcher
Dr. Tuomas Yrttimaa is a postdoctoral researcher at the School of Forest Sciences, University of Eastern Finland. He received his doctoral decree in 2021 at University of Eastern Finland. His current research interests include characterizing trees and tree communities using time series of dense point clouds to improve the understanding of forest dynamics and the structural uniqueness of trees.
Contact info
Organization
Faculty of Science and Forestry, School of Forest Sciences
tuomas.yrttimaa@uef.fi
Phone
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Teaching Activities
Applied Geoinformatics 2020, 2022
Research groups - UEF
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Forest-Human-Machine Interplay - Building Resilience, Redefining Value Networks and Enabling Meaningful Experiences (UNITE) -
Vastaranta Research Syndicate
Links
Publications
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Heinaro, Einari; Tanhuanpää, Topi; Yrttimaa, Tuomas; Holopainen, Markus; Vastaranta, Mikko. 2021. Airborne laser scanning reveals large tree trunks on forest floor Forest ecology and management 491: 119225. 2021
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Luoma, Ville; Yrttimaa, Tuomas; Kankare, Ville; Saarinen, Ninni; Pyorälä, Jiri; Kukko, Antero; Kaartinen, Harri; Hyyppä, Juha; Holopainen, Markus; Vastaranta, Mikko. 2021. Revealing Changes in the Stem Form and Volume Allocation in Diverse Boreal Forests Using Two-Date Terrestrial Laser Scanning Forests 12 7: 835. 2021
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Saarinen, Ninni; Calders, Kim; Kankare, Ville; Yrttimaa, Tuomas; Junttila, Samuli; Luoma, Ville; Huuskonen, Saija; Hynynen, Jari; Verbeeck, Hans. 2021. Understanding 3D structural complexity of individual Scots pine trees with different management history Ecology and evolution 11 6: 2561-2572. 2021
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Terrestrial Laser Scanning Reveal Connection Between Changes in Tree Stem Dimensions and Crown Structure. Tuomas Yrttimaa, Ville Luoma, Ninni Saarinen, Ville Kankare, Samuli Junttila, Markus Holopainen, Juha Hyyppä, Mikko Vastaranta / Proceedings of the SilviLaser Conference 2021, Vienna, Austria, 28-30 September 2021. 2021. 2021
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Yrttimaa, Tuomas (ed.) . 2021. Characterizing tree communities in space and time using point clouds. Finnish Society of Forest Science; Faculty of Agriculture and Forestry of the University of Helsinki; School of Forest Sciences of the University of Eastern Finland. Dissertationes forestales 314. 2021
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Yrttimaa, Tuomas. 2021. Automatic Point Cloud Processing Tools to Characterize Trees (Point-Cloud-Tools: v1.0.1). 2021
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Saarinen, Ninni; Kankare, Ville; Yrttimaa, Tuomas; Viljanen, Niko; Honkavaara, Eija; Holopainen, Markus; Hyyppä, Juha; Huuskonen, Saija; Hynynen, Jari; Vastaranta, Mikko. 2020. Assessing the effects of thinning on stem growth allocation of individual Scots pine trees Forest ecology and management 474: 118344. 2020
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Yrttimaa, Tuomas; Luoma, Ville; Saarinen, Ninni; Kankare, Ville; Junttila, Samuli; Holopainen, Markus; Hyyppä, Juha; Vastaranta, Mikko. 2020. Structural Changes in Boreal Forests Can Be Quantified Using Terrestrial Laser Scanning Remote sensing 12 17: 2672. 2020
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Yrttimaa, Tuomas; Saarinen, Ninni; Kankare, Ville; Hynynen, Jari; Huuskonen, M M Saija; Holopainen, Markus; Hyyppä, Juha; Vastaranta, Mikko. 2020. Performance of terrestrial laser scanning to characterize managed Scots pine (Pinus sylvestris L.) stands is dependent on forest structural variation Isprs journal of photogrammetry and remote sensing 168: 277-287. 2020
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Yrttimaa, Tuomas; Saarinen, Ninni; Kankare, Ville; Viljanen, Niko; Hynynen, Jari; Huuskonen, Saija; Holopainen, Markus; Hyyppä, Juha; Honkavaara, Eija; Vastaranta, Mikko. 2020. Multisensorial Close-Range Sensing Generates Benefits for Characterization of Managed Scots Pine (Pinus sylvestris L.) Stands Isprs international journal of geo-information 9 5: 309. 2020