Tuomas Yrttimaa
Postdoctoral Researcher
School of Forest Sciences, Faculty of Science, Forestry and Technology
tuomas.yrttimaa@uef.fi | +358 50 322 7905
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.
Research groups
Publications
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A method for identifying and segmenting branches of Scots pine (Pinus sylvestris L.) trees using terrestrial laser scanning
Yrttimaa, Tuomas; Kankare, Ville; Luoma, Ville; Junttila, Samuli; Saarinen, Ninni; Calders, Kim; Holopainen, Markus; Hyyppa, Juha; Vastaranta, Mikko. 2023. Forestry. [Epub ahead of print 4 Dec 2023]: 1-15 -
Assessing Forest Traversability for Autonomous Mobile Systems Using Close-Range Airborne Laser Scanning
Yrttimaa, Tuomas; Matsuzaki, Shigemichi; Kankare, Ville; Junttila, Samuli; Saarinen, Ninni; Kukko, Antero; Hyyppä, Juha; Miura, Jun; Vastaranta, Mikko. 2023. Croatian journal of forest engineering. 2024; 45: 169-182 -
Evaluating Factors Impacting Fallen Tree Detection from Airborne Laser Scanning Point Clouds
Heinaro, Einari; Tanhuanpää, Topi; Vastaranta, Mikko; Yrttimaa, Tuomas; Kukko, Antero; Hakala, Teemu; Mattsson, Teppo; Holopainen, Markus. 2023. Remote sensing. 15: . 382 -
Tree height and stem growth dynamics in a Scots pine dominated boreal forest
Yrttimaa, Tuomas; Junttila, Samuli; Luoma, Ville; Pyörälä, Jiri; Puttonen, Eetu; Campos, Mariana; Hölttä, Teemu; Vastaranta, Mikko. 2023. Trees, forests and people. 2024; 15: -
Adding single tree features and correcting edge tree effects enhance the characterization of seedling stands with single-photon airborne laser scanning
Imangholiloo, M.; Yrttimaa, T.; Mattsson, T.; Junttila, S.; Holopainen, M.; Saarinen, N.; Savolainen, P.; Hyyppä, J.; Vastaranta, M.. 2022. Isprs journal of photogrammetry and remote sensing. 191: 129-142 -
Assessing Structural Complexity of Individual Scots Pine Trees by Comparing Terrestrial Laser Scanning and Photogrammetric Point Clouds
Tienaho, Noora; Yrttimaa, Tuomas; Kankare, Ville; Vastaranta, Mikko; Luoma, Ville; Honkavaara, Eija; Koivumäki, Niko; Huuskonen, Saija; Hynynen, Jari; Holopainen, Markus; Hyyppä, Juha; Saarinen, Ninni. 2022. Forests. 13: -
Assessing the Dependencies of Scots Pine (Pinus sylvestris L.) Structural Characteristics and Internal Wood Property Variation
Kankare, Ville; Saarinen, Ninni; Pyörälä, Jiri; Yrttimaa, Tuomas; Hynynen, Jari; Huuskonen, Saija; Hyyppä, Juha; Vastaranta, Mikko. 2022. Forests. 13: -
Capturing seasonal radial growth of boreal trees with terrestrial laser scanning
Yrttimaa, T; Junttila, S; Luoma, V; Calders, K; Kankare, V; Saarinen, N; Kukko, A; Holopainen, M; Hyyppä, J; Vastaranta, M. 2022. Forest ecology and management. 2023; 529: -
Close-range hyperspectral spectroscopy reveals leaf water content dynamics
Junttila, S; Hölttä, T; Saarinen, N; Kankare, V; Yrttimaa, T; Hyyppä, J; Vastaranta, M. 2022. Remote sensing of environment. 277: -
Effects of Stem Density on Crown Architecture of Scots Pine Trees
Saarinen, Ninni; Kankare, Ville; Huuskonen, Saija; Hynynen, Jari; Bianchi, Simone; Yrttimaa, Tuomas; Luoma, Ville; Junttila, Samuli; Holopainen, Markus; Hyyppä, Juha; Vastaranta, Mikko. 2022. Frontiers in plant science. 13: . 817792