Mikko Vastaranta
Professor
Digitalization and Knowledge Leadership in Forest-based Bioeconomy
School of Forest Sciences, Faculty of Science, Forestry and Technology
[email protected] | +358 50 512 7051
Dr. Mikko Vastaranta is a professor at the University of Eastern Finland’s School of Forest Sciences. He earned his M.Sc. (2007) and PhD (2012) in forest resource science and technology from the University of Helsinki, where he also holds an adjunct professorship in remote sensing of forests. He has held positions as a research scientist at the Centre of Excellence in Laser Scanning Research, university lecturer in forest planning (University of Helsinki), visiting research scientist at the Pacific Forestry Centre (Canadian Forestry Service, Natural Resources Canada), and visiting professor at Shinshu University (Japan). His research focuses on developing remote sensing and geospatial technologies to measure, monitor, and better understand forests. Vastaranta has authored over 150 peer-reviewed scientific articles, and his recent publications can be found on Google Scholar.
Research groups
Publications
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Assessing the effects of forest structure on vegetation optical depth in boreal forests
Ajithkumar, Nivedhitha; Junttila, Samuli; Saarinen, Ninni; Vastaranta, Mikko, 2026, Scandinavian journal of forest research, [Epub ahead of print 19 Feb 2026], 1-13. A1 Journal article (refereed), original research -
Augmented reality game mechanics influence the accuracy of crowdsourced LiDAR-based tree measurements
Liikonen, Lauri; Erkkilä, Aapo; Kamula, Teemu; Honkanen, Eppu; Liimatainen, Kaisa; Uhlgren, Ville Veikko; Yrttimaa, Tuomas; Nummenmaa, Timo; Hamari, Juho; Vastaranta, Mikko, 2026, Urban forestry and urban greening, 121, 129466. A1 Journal article (refereed), original research -
FOR-age: Benchmarking individual tree age estimation using 3D deep learning on dense laser scanning data
Puliti, Stefano; Xiang, Binbin; Wielgosz, Maciej; Handegard, Eivind; Cattaneo, Nicolas; Vergarechea, Marta; Gobakken, Terje; Hyyppä, Juha; Næsset, Erik; Vastaranta, Mikko; Yrttimaa, Tuomas; Astrup, Rasmus, 2026, Remote sensing of environment, 342, 115462. A1 Journal article (refereed), original research -
Measuring forest inventory attributes using Faro Orbis Mobile laser scanner in managed boreal forests
Liikonen, Lauri; Yrttimaa, Tuomas; Erkkilä, Aapo; Paakkari, Johanna; Pitkänen, Timo; Kotivuori, Eetu; Vastaranta, Mikko, 2026, Forestry, 99, 3, cpag028. A1 Journal article (refereed), original research -
Multispectral airborne laser scanning for tree species classification: A benchmark of machine learning and deep learning algorithms
Taher, Josef; Hyyppa, Eric; Hyyppa, Matti; Salolahti, Klaara; Yu, Xiaowei; Matikainen, Leena; Kukko, Antero; Lehtomaki, Matti; Kaartinen, Harri; Thurachen, Sopitta; Litkey, Paula; Luoma, Ville; Holopainen, Markus; Kong, Gefei; Fan, Hongchao; Ronnholm, Petri; Vaaja, Matti; Polvivaara, Antti; Junttila, Samuli; Vastaranta, Mikko; Puliti, Stefano; Astrup, Rasmus; Kostensalo, Joel; Myllymaki, Mari; Kulicki, Maksymilian; Sterenczak, Krzysztof; Pires, Raul De Paula; Valbuena, Ruben; Carbonell-Rivera, J, 2026, Isprs journal of photogrammetry and remote sensing, 233, 278-309. A1 Journal article (refereed), original research -
Segmentation of living and dead tree crowns using terrestrial laser scanning and deep learning
Pehkonen, Mika; Vastaranta, Mikko; Hyyppä, Juha; Pyörälä, Jiri, 2026, Ecological informatics, 95, 103750. A1 Journal article (refereed), original research -
Understanding tree growth dependencies using multisensorial point clouds
Poorazimy, Maryam; Ronoud, Ghasem; Yrttimaa, Tuomas; Luoma, Ville; Bianchi, Simone; Huuskonen, Saija; Hyyppa, Juha; Saarinen, Ninni; Kankare, Ville; Vastaranta, Mikko, 2026, European journal of forest research, 145, 2, 33. A1 Journal article (refereed), original research -
An integrated approach combining bi-temporal airborne laser scanning and X-ray microdensitometry in assessing wood properties
Poorazimy, Maryam; Ronoud, Ghasem; Yrttimaa, Tuomas; Hyyppa, Juha; Saarinen, Ninni; Kankare, Ville; Vastaranta, Mikko, 2025, Forest ecology and management, 585, 122497. A1 Journal article (refereed), original research -
Assessing forest structural complexity: insights from alternative laser scanning approaches
Cimdins, Reinis; Yrttimaa, Tuomas; Vastaranta, Mikko; Kankare, Ville, 2025, Scandinavian journal of forest research, 41, 1, 40-53. A1 Journal article (refereed), original research -
Benefits of using multi-return terrestrial laser scanning for tree characterization in southern boreal forests
Kamula, Teemu; Yrttimaa, Tuomas; Erkkilä, Aapo; Liikonen, Lauri; Vastaranta, Mikko, 2025, Remote sensing of environment, 329, 114921. A1 Journal article (refereed), original research

