Dr. Mikko Vastaranta is a professor in digitalization and knowledge leadership in forest-based bioeconomy 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 scientists at the Pacific Forestry Centre (Canadian Forestry Service, Natural Resources Canada), and visiting professor at Shinshu University (Japan). His research focuses on examining nature-human-technology interactions using geoinformation science-based technologies and methods. 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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Detecting tree mortality using waveform features of airborne LiDAR
Polvivaara, Antti; Korpela, Ilkka; Vastaranta, Mikko; Junttila, Samuli. 2024. Remote sensing of environment. 303: -
Employing Gamified Crowdsourced Close-Range Sensing in the Pursuit of a Digital Twin of the Earth
Nummenmaa, Timo; Laato, Samuli; Chambers, Philip; Yrttimaa, Tuomas; Vastaranta, Mikko; Buruk, Oğuz Turan; Hamari, Juho. 2024. International journal of human-computer interaction. [Epub ahead of print 5 Jun 2024]: 1-17 -
Post-fire vegetation dynamics and location as main drivers of fire recurrence in Mediterranean forests
Peris-Llopis, Marina; Vastaranta, Mikko; Saarinen, Ninni; González-Olabarria, Jose Ramon; García-Gonzalo, Jordi; Mola-Yudego, Blas. 2024. Forest ecology and management. 568: -
Quantifying fire-induced changes in ground vegetation using bitemporal terrestrial laser scanning
Tienaho, Noora; Saarinen, Ninni; Yrttimaa, Tuomas; Kankare, Ville; Vastaranta, Mikko. 2024. Silva fennica. 58: . 23061 -
Significant increase in forest canopy mortality in boreal forests in Southeast Finland
Junttila, S; Blomqvist, M; Laukkanen, V; Heinaro, E; Polvivaara, A; O'Sullivan, H; Yrttimaa, T; Vastaranta, M; Peltola, H. 2024. Forest ecology and management. 565: . 122020 -
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 -
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: