
Samuli Junttila
Research Director
Associate professor in Forest Health and Earth Observation
School of Forest Sciences, Faculty of Science, Forestry and Technology
[email protected] | +358 50 305 1004
Research topics and interests:
Vegetation water dynamics
Remote sensing (especially laser scanning)
Forest decline and tree mortality
Science communication
Research groups
Publications
39/39 items-
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 -
Implications for the distributional range of the European bark beetles under future climate change
Jian, Shengqi; Han, Yufei; Kasanen, Risto; Honkaniemi, Juha; Junttila, Samuli; Asiegbu, Fred O, 2025, Scientific reports, 15, 1, 29556. A1 Journal article (refereed), original research -
Influence of bark beetle infestation on stem diameter dynamics
Junttila, Samuli; Yrttimaa, Tuomas; Blomqvist, Minna; Paljakka, Teemu; Pelto-Arvo, Mikko; Vastaranta, Mikko, 2025, Trees, forests and people, 19, 100777. 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 -
Quantifying the drivers of tree mortality: A case study from urban recreational boreal forest
Jääskeläinen, Johanna; Junttila, Samuli; O’Sullivan, Hannah; Cheng, Yan; Horion, Stéphanie; Vastaranta, Mikko, 2025, Urban forestry and urban greening, 104, 128672. A1 Journal article (refereed), original research -
Remote sensing approaches for assessing and monitoring forest health
Junttila, Samuli, 2025, Asiegbu, Fred O; Kovalchuk, Andriy, Biotechnology Applications in Forestry:, 419-431. B2 Book section -
Towards a global understanding of tree mortality
International Tree Mortality Network, 2025, New phytologist, 245, 6, 2377-2392, . A1 Journal article (refereed), original research -
A study of annual tree-wise LiDAR intensity patterns of boreal species observed using a hyper-temporal laser scanning time series
Shcherbacheva, Anna; Campos, Mariana B; Wang, Yunsheng; Liang, Xinlian; Kukko, Antero; Hyyppä, Juha; Junttila, Samuli; Lintunen, Anna; Korpela, Ilkka; Puttonen, Eetu, 2024, Remote sensing of environment, 305, 114083. A1 Journal article (refereed), original research -
An Intelligent System for Determining the Degree of Tree Bark Beetle Damage Based on the Use of Unmanned Aerial Vehicles
Sineglazov, Victor; Hordun, Mykhailo; Junttila, Samuli, 2024, Tovkach, Serhii, 2024 IEEE 7th International Conference on Actual Problems of Unmanned Aerial Vehicles Development, APUAVD 2024 - Proceedings, 9-12, . A4 Conference proceedings -
An intelligent system for determining the degree of tree bark beetle damage based on the use of generative‐adversarial neural networks
Victor, Sineglazov; Mykhailo, Hordun; Samuli, Junttila, 2024, Plant-environment interactions, 5, 6, e70015. A1 Journal article (refereed), original research