![Samuli Junttila](https://uefconnect.uef.fi/wp-content/uploads/2021/11/96a8d3d05518119e40200eb8ae399f28_profile_file-500x500.jpg)
Research topics and interests:
Vegetation water dynamics
Remote sensing (especially laser scanning)
Forest decline and tree mortality
Science communication
Research groups
Publications
28/28 items-
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 -
Bark beetle pre-emergence detection using multi-temporal hyperspectral drone images: Green shoulder indices can indicate subtle tree vitality decline
Huo, Langning; Koivumäki, Niko; Oliveira, Raquel A; Hakala, Teemu; Markelin, Lauri; Näsi, Roope; Suomalainen, Juha; Polvivaara, Antti; Junttila, Samuli; Honkavaara, Eija. 2024. Isprs journal of photogrammetry and remote sensing. 216: 200-216 -
Detecting tree mortality using waveform features of airborne LiDAR
Polvivaara, Antti; Korpela, Ilkka; Vastaranta, Mikko; Junttila, Samuli. 2024. Remote sensing of environment. 303: -
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 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 -
Comparison of Deep Neural Networks in the Classification of Bark Beetle-Induced Spruce Damage Using UAS Images
Turkulainen, Emma; Honkavaara, Eija; Näsi, Roope; Oliveira, Raquel A.; Hakala, Teemu; Junttila, Samuli; Karila, Kirsi; Koivumäki, Niko; Pelto-Arvo, Mikko; Tuviala, Johanna; Östersund, Madeleine; Pölönen, Ilkka; Lyytikäinen-Saarenmaa, Päivi. 2023. Remote sensing. 15: . 4928 -
Deep learning enables image-based tree counting, crown segmentation, and height prediction at national scale
Li, Sizhuo; Brandt, Martin; Fensholt, Rasmus; Kariryaa, Ankit; Igel, Christian; Gieseke, Fabian; Nord-Larsen, Thomas; Oehmcke, Stefan; Carlsen, Ask Holm; Junttila, Samuli; Tong, Xiaoye; d'Aspremont, Alexandre; Ciais, Philippe. 2023. PNAS nexus. 2: 1-16 -
Influence of phenology on waveform features in deciduous and coniferous trees in airborne LiDAR
Korpela, Ilkka; Polvivaara, Antti; Hovi, Aarne; Junttila, Samuli; Holopainen, Markus. 2023. Remote sensing of environment. 293: . 113618 -
StrucNet: a global network for automated vegetation structure monitoring
Calders, Kim; Brede, Benjamin; Newnham, Glenn; Culvenor, Darius; Armston, John; Bartholomeus, Harm; Griebel, Anne; Hayward, Jodie; Junttila, Samuli; Lau, Alvaro; Levick, Shaun; Morrone, Rosalinda; Origo, Niall; Pfeifer, Marion; Verbesselt, Jan; Herold, Martin. 2023. Remote sensing in ecology and conservation. 9: 587-598