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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Characterizing the competitive stress of individual trees using point clouds
Ronoud, Ghasem; Poorazimy, Maryam; Yrttimaa, Tuomas; Kukko, Antero; Hyyppä, Juha; Saarinen, Ninni; Kankare, Ville; Vastaranta, Mikko. 2024. Forest ecology and management. 572: A1 Journal article (refereed), original research -
Detecting tree mortality using waveform features of airborne LiDAR
Polvivaara, Antti; Korpela, Ilkka; Vastaranta, Mikko; Junttila, Samuli. 2024. Remote sensing of environment. 303: A1 Journal article (refereed), original research -
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 A1 Journal article (refereed), original research -
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: A1 Journal article (refereed), original research -
Quantifying changes in forest structural complexity using bi-temporal airborne laser scanning
Cimdins, Reinis; Yrttimaa, Tuomas; Hyyppä, Juha; Vastaranta, Mikko; Kankare, Ville. 2024. European journal of remote sensing. 57: A1 Journal article (refereed), original research -
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 A1 Journal article (refereed), original research -
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 A1 Journal article (refereed), original research -
Space Probe Retrieval: A LiDAR-Based Augmented Reality Game for Forest Data Collection
Uhlgren, Ville-Veikko; Laato, Samuli; Yrttimaa, Tuomas; Chambers, Philip; Vastaranta, Mikko; Nummenmaa, Timo. Teoksessa: Buruk, Oğuz ‘Oz’; Freeman, Guo; Hamari, Juho(toim.) , 2024. Companion Proceedings of the 2024 Annual Symposium on Computer-Human Interaction in Play. s. 340-345. ACM A4 Conference proceedings -
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 A1 Journal article (refereed), original research -
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. 2024; 97: 531-545 A1 Journal article (refereed), original research