Dr. Mikko Vastaranta is currently a professor in digitalization and knowledge leadership in forest-based bioeconomy in the School of Forest Sciences at the University of Eastern Finland. He received 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 of remote sensing of forests. He has worked as a research scientist in the centre of excellence in laser scanning research, university lecturer in forest planning (University of Helsinki), visiting research scientists in Pacific Forestry Centre (Canadian Forestry Service, Natural Resources Canada) and a visiting professor at Shinshu University (Japan). In his research, he is exploring nature-human-machine interactions using geoinformation science-based technologies and methods. Vastaranta has published more than 130 peer-reviewed scientific articles and his recent publications can be found on Google Scholar.
Research groups
Publications
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A New Approach for Feeding Multispectral Imagery into Convolutional Neural Networks Improved Classification of Seedlings
Imangholiloo, Mohammad; Luoma, Ville; Holopainen, Markus; Vastaranta, Mikko; Mäkeläinen, Antti; Koivumäki, Niko; Honkavaara, Eija; Khoramshahi, Ehsan. 2023. Remote sensing. 15: . 5233 -
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 -
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 -
Exploring tree growth allometry using two-date terrestrial laser scanning
Yrttimaa, T.; Luoma, V.; Saarinen, N.; Kankare, V.; Junttila, S.; Holopainen, M.; Hyyppä, J.; Vastaranta, M.. 2022. Forest ecology and management. 518: -
Feasibility of Bi-Temporal Airborne Laser Scanning Data in Detecting Species-Specific Individual Tree Crown Growth of Boreal Forests
Poorazimy, Maryam; Ronoud, Ghasem; Yu, Xiaowei; Luoma, Ville; Hyyppä, Juha; Saarinen, Ninni; Kankare, Ville; Vastaranta, Mikko. 2022. Remote sensing. 14: