Vastaranta Research Syndicate

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Research group

01.01.2018 -

School of Forest Sciences, Faculty of Science, Forestry and Technology

Information People Publications

We develop remote sensing and geospatial technologies to measure, monitor, and better understand forests. At the core of our expertise is laser scanning.

Cooperation

Centre of Excellence in Laser Scanning Research
Forest-Human-Machine Interplay Flagship of Science
Measuring Spatiotemporal Changes in Forest Ecosystem Research Infrastructure

Forest-Human-Machine Interplay - Building Resilience, Redefining Value Networks and Enabling Meaningful Experiences (UNITE) 01.07.2020 - 30.06.2028

Keywords

bioeconomy digitalization forest geoinformatics interactions between nature, humans and machines knowledge knowledge work remote sensing

Professors

Mikko Vastaranta

Professor

School of Forest Sciences, Faculty of Science, Forestry and Technology

Post-doctoral Researchers

Tuomas Yrttimaa

Assistant Professor

School of Forest Sciences, Faculty of Science, Forestry and Technology
Samuli Junttila

Research Director

School of Forest Sciences, Faculty of Science, Forestry and Technology

Doctoral Researchers

Nivedhitha Ajithkumar

Doctoral Researcher

School of Forest Sciences, Faculty of Science, Forestry and Technology
Marina Peris Llopis

Postdoctoral Researcher

School of Forest Sciences, Faculty of Science, Forestry and Technology
Johanna Jääskeläinen

University Teacher

School of Forest Sciences, Faculty of Science, Forestry and Technology

Other group members

Kim Calders [email protected]
Mika Pehkonen [email protected]
Shigemichi Matsuzaki
Reinis Cimdins [email protected]

Publications

20 items

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
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
Benchmarking tree species classification from proximally sensed laser scanning data: Introducing the FOR-species20K dataset
Puliti, Stefano; Lines, Emily R; Müllerová, Jana; Frey, Julian; Schindler, Zoe; Straker, Adrian; Allen, Matthew J; Winiwarter, Lukas; Rehush, Nataliia; Hristova, Hristina; Murray, Brent; Calders, Kim; Coops, Nicholas; Höfle, Bernhard; Irwin, Liam; Junttila, Samuli; Krůček, Martin; Krok, Grzegorz; Král, Kamil; Levick, Shaun R; Luck, Linda; Missarov, Azim; Mokroš, Martin; Owen, Harry JF; Stereńczak, Krzysztof; Pitkänen, Timo P; Puletti, Nicola; Saarinen, Ninni; Hopkinson, Chris; Terryn, Louise; To, 2025, Methods in ecology and evolution, 16, 4, 801-818. 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
Capturing trends in forest structural complexity development using laser scanning techniques
Cimdins, Reinis; Yrttimaa, Tuomas; Hyyppä, Juha; Vastaranta, Mikko; Kankare, Ville, 2025, Trees, forests and people, 21, 100954. A1 Journal article (refereed), original research
Combining single-date mobile and multitemporal airborne laser scanning for retrospective estimation of individual tree growth over a 10-year period in boreal forests
Tavi, Daniella; Muhojoki, Jesse; Soininen, Valtteri; Hyyppa, Eric; Hakala, Teemu; Luoma, Ville; Kukko, Antero; Yu, Xiaowei; Vastaranta, Mikko; Hyyppa, Juha, 2025, Science of remote sensing, 13, 100345. A1 Journal article (refereed), original research
Dual-task learning for dead tree detection and segmentation with hybrid self-attention U-Nets in aerial imagery
Rahman, Anis Ur; Heinaro, Einari; Ahishali, Mete; Junttila, Samuli, 2025, International journal of applied earth observation and geoinformation, 144, 104851. A1 Journal article (refereed), original research
Effects of ground vegetation on terrestrial laser scanning-derived digital terrain models in boreal forests
Tienaho, Noora; Yrttimaa, Tuomas; Vaaja, Matti; Saarinen, Ninni; Vastaranta, Mikko, 2025, Scandinavian journal of forest research, 41, 1, 27-39. A1 Journal article (refereed), original research
Examining low-intensity surface fires in boreal forests using sentinel-2 time series and bitemporal terrestrial laser scanning
Tienaho, N; Wittke, S; Yrttimaa, T; Kivimäki, A; Puttonen, E; Saarinen, N; Vastaranta, M, 2025, Scandinavian journal of forest research, 40, 1, 29-40. A1 Journal article (refereed), original research
Expanding forest research with terrestrial LiDAR technology
Maeda, Eduardo Eiji; Brede, Benjamin; Calders, Kim; Disney, Mathias; Herold, Martin; Lines, Emily R; Nunes, Matheus Henrique; Raumonen, Pasi; Rautiainen, Miina; Saarinen, Ninni; Starck, Iris; Su, Yanjun; Terschanski, Jonathan; Terryn, Louise, 2025, Nature communications, 16, 1, 8853. A2 Review article, Literature review, Systematic review
Gamified augmented reality for data collection in urban forests
Chambers, Philip; Laato, Samuli; Yoshida, Hironori; Yrttimaa, Tuomas; Liimatainen, Kaisa; Uhlgren, Ville Veikko; Hamari, Juho; Hujala, Teppo; Vastaranta, Mikko; Nummenmaa, Timo, 2025, Urban forestry and urban greening, 113, 129036. A1 Journal article (refereed), original research
Identification and segmentation of branch whorls and sawlogs in standing timber using terrestrial laser scanning and deep learning
Pehkonen, Mika; Vastaranta, Mikko; Holopainen, Markus; Hyyppä, Juha; Kukko, Antero; Pyörälä, Jiri, 2025, Forestry, 98, 5, 712-725. A1 Journal article (refereed), original research
Quantifying architectural uniqueness of Scots pine trees using terrestrial laser scanning: toward individual tree fingerprinting
Yrttimaa, Tuomas; Junttila, Samuli; Hyyppä, Juha; Holopainen, Markus; Wulder, Michael A; Vastaranta, Mikko, 2025, Forestry, 98, 4, 465-477. A1 Journal article (refereed), original research
Realistic virtual forests for understanding forest disturbances and recovery from space
Calders, Kim; Herold, Martin; Adams, Jennifer; Armston, John; Brede, Benjamin; Cherlet, Wout; Cooper, Zane T; Dayal, Karun; Frenne, Pieter De; Levick, Shaun R; Meir, Patrick; Origo, Niall; Senf, Cornelius; Soenens, Luna; Terryn, Louise; Van den Broeck, Wouter AJ; Vastaranta, Mikko; Verbeeck, Hans; Villard, Ludovic; Disney, Mathias, 2025, Isprs journal of photogrammetry and remote sensing, 227, 501-507. A1 Journal article (refereed), original research
Ultra-Wideband-Based Method for Measuring Tree Positions With Decimeter-Level Accuracy Under a Forest Canopy
Liu, Zuoya; Kaartinen, Harri; Hakala, Teemu; Hyyti, Heikki; Hyyppa, Juha; Kukko, Antero; Chen, Ruizhi; Vastaranta, Mikko, 2025, IEEE journal of selected topics in applied earth observations and remote sensing, 18, 12961-12972. 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, 114019. 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, 41, 8, 4668-4684. 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, 1, 2417905. 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

Refine your search

Vastaranta Research Syndicate

Cooperation

Keywords

Professors

Mikko Vastaranta

Post-doctoral Researchers

Tuomas Yrttimaa

Samuli Junttila

Doctoral Researchers

Nivedhitha Ajithkumar

Marina Peris Llopis

Johanna Jääskeläinen

Other group members

Assessing the effects of forest structure on vegetation optical depth in boreal forests

An integrated approach combining bi-temporal airborne laser scanning and X-ray microdensitometry in assessing wood properties

Assessing forest structural complexity: insights from alternative laser scanning approaches

Benchmarking tree species classification from proximally sensed laser scanning data: Introducing the FOR-species20K dataset

Benefits of using multi-return terrestrial laser scanning for tree characterization in southern boreal forests

Capturing trends in forest structural complexity development using laser scanning techniques

Combining single-date mobile and multitemporal airborne laser scanning for retrospective estimation of individual tree growth over a 10-year period in boreal forests

Dual-task learning for dead tree detection and segmentation with hybrid self-attention U-Nets in aerial imagery

Effects of ground vegetation on terrestrial laser scanning-derived digital terrain models in boreal forests

Examining low-intensity surface fires in boreal forests using sentinel-2 time series and bitemporal terrestrial laser scanning

Expanding forest research with terrestrial LiDAR technology

Gamified augmented reality for data collection in urban forests

Identification and segmentation of branch whorls and sawlogs in standing timber using terrestrial laser scanning and deep learning

Quantifying architectural uniqueness of Scots pine trees using terrestrial laser scanning: toward individual tree fingerprinting

Realistic virtual forests for understanding forest disturbances and recovery from space

Ultra-Wideband-Based Method for Measuring Tree Positions With Decimeter-Level Accuracy Under a Forest Canopy

Detecting tree mortality using waveform features of airborne LiDAR

Employing Gamified Crowdsourced Close-Range Sensing in the Pursuit of a Digital Twin of the Earth

Quantifying changes in forest structural complexity using bi-temporal airborne laser scanning

Significant increase in forest canopy mortality in boreal forests in Southeast Finland