S
Samuli Junttila
Researcher at University of Helsinki
Publications - 36
Citations - 239
Samuli Junttila is an academic researcher from University of Helsinki. The author has contributed to research in topics: Environmental science & Biology. The author has an hindex of 6, co-authored 17 publications receiving 138 citations. Previous affiliations of Samuli Junttila include Finnish Geodetic Institute & University of Eastern Finland.
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Journal ArticleDOI
Measuring Leaf Water Content with Dual-Wavelength Intensity Data from Terrestrial Laser Scanners
Samuli Junttila,Samuli Junttila,Mikko Vastaranta,Mikko Vastaranta,Xinlian Liang,Harri Kaartinen,Antero Kukko,Sanna Kaasalainen,Markus Holopainen,Markus Holopainen,Hannu Hyyppä,Juha Hyyppä +11 more
TL;DR: The backscattered intensity responded to changes in EWT but more investigations are needed to test the suitability of TLSs to retrieve EWT in a forest environment.
Journal ArticleDOI
The potential of dual-wavelength terrestrial lidar in early detection of Ips typographus (L.) infestation – Leaf water content as a proxy
Samuli Junttila,Samuli Junttila,Markus Holopainen,Markus Holopainen,Mikko Vastaranta,Mikko Vastaranta,Päivi Lyytikäinen-Saarenmaa,Harri Kaartinen,Harri Kaartinen,Juha Hyyppä,Hannu Hyyppä,Hannu Hyyppä +11 more
TL;DR: In this article, the authors investigated the feasibility of dual-wavelength terrestrial lidar in the estimation and detection of I. typographus infestation symptoms and examined the relationship between leaf water content (measured as gravimetric water content and equivalent water thickness) and infestation severity.
Journal ArticleDOI
Can Leaf Water Content Be Estimated Using Multispectral Terrestrial Laser Scanning? A Case Study With Norway Spruce Seedlings
Samuli Junttila,Junko Sugano,Mikko Vastaranta,Mikko Vastaranta,Mikko Vastaranta,Riikka Linnakoski,Harri Kaartinen,Antero Kukko,Markus Holopainen,Markus Holopainen,Hannu Hyyppä,Hannu Hyyppä,Juha Hyyppä +12 more
TL;DR: Based on the results, different EWTs in Norway spruce seedlings show different spectral responses when measured using MS-TLS, and these results can be further used when developing EWT monitoring for improving forest health assessments.
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Investigating Bi-Temporal Hyperspectral Lidar Measurements from Declined Trees—Experiences from Laboratory Test
Samuli Junttila,Sanna Kaasalainen,Mikko Vastaranta,Teemu Hakala,Olli Nevalainen,Markus Holopainen +5 more
TL;DR: Hyperspectral Lidar has the potential to detect drought in spruce and pine trees, and changes differed between the species, indicating that drought-induced alterations in spectral characteristics may be species-dependent.
Journal ArticleDOI
Effects of water availability on a forestry pathosystem: fungal strain-specific variation in disease severity
Riikka Linnakoski,Junko Sugano,Samuli Junttila,Samuli Junttila,Pertti Pulkkinen,Fred O. Asiegbu,Kristian M. Forbes +6 more
TL;DR: This is the first experimental evidence that water availability can alter strain-specific disease severity in Norway spruce trees, and shows limitation due to water availability.