Samuli Junttila

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. 2024; 97: 531-545

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

UAV-based reference data for the prediction of fractional cover of standing deadwood from Sentinel time series

Schiefer, Felix; Schmidtlein, Sebastian; Frick, Annett; Frey, Julian; Klinke, Randolf; Zielewska-Büttner, Katarzyna; Junttila, Samuli; Uhl, Andreas; Kattenborn, Teja. 2023. ISPRS open journal of photogrammetry and remote sensing. 8:

A Novel Method to Simultaneously Measure Leaf Gas Exchange and Water Content

Junttila, Samuli; Hölttä, Teemu; Salmon, Yann; Filella, Iolanda; Peñuelas, Josep. 2022. Remote sensing. 14: . 3693

Adding single tree features and correcting edge tree effects enhance the characterization of seedling stands with single-photon airborne laser scanning

Imangholiloo, M.; Yrttimaa, T.; Mattsson, T.; Junttila, S.; Holopainen, M.; Saarinen, N.; Savolainen, P.; Hyyppä, J.; Vastaranta, M.. 2022. Isprs journal of photogrammetry and remote sensing. 191: 129-142

Capturing seasonal radial growth of boreal trees with terrestrial laser scanning

Yrttimaa, T; Junttila, S; Luoma, V; Calders, K; Kankare, V; Saarinen, N; Kukko, A; Holopainen, M; Hyyppä, J; Vastaranta, M. 2022. Forest ecology and management. 2023; 529:

Close-Range Remote Sensing of Forests: The State of the Art, Challenges, and Opportunities for Systems and Data Acquisitions

Liang, Xinlian; Kukko, Antero; Balenovic, Ivan; Ninni, Saarinen; Junttila, Samuli; Kankare, Ville; Holopainen, Markus; Martin, Mokros; Surovy, Peter; Kaartinen, Harri; Luka, Jurjevic; Honkavaara, Eija; Nasi, Roope; Jingbin, Liu; Hollaus, Markus; Tian, Jiaojiao; Yu, Xiaowei; Jie, Pan; Shangshu, Cai; Virtanen, Juho-Pekka; Wang, Yunsheng; Hyyppa, Juha. 2022. IEEE geoscience and remote sensing magazine. 10: 32-71

Close-range hyperspectral spectroscopy reveals leaf water content dynamics

Junttila, S; Hölttä, T; Saarinen, N; Kankare, V; Yrttimaa, T; Hyyppä, J; Vastaranta, M. 2022. Remote sensing of environment. 277:

Effects of Stem Density on Crown Architecture of Scots Pine Trees

Saarinen, Ninni; Kankare, Ville; Huuskonen, Saija; Hynynen, Jari; Bianchi, Simone; Yrttimaa, Tuomas; Luoma, Ville; Junttila, Samuli; Holopainen, Markus; Hyyppä, Juha; Vastaranta, Mikko. 2022. Frontiers in plant science. 13: . 817792

Estimating Tree Health Decline Caused by Ips typographus L. from UAS RGB Images Using a Deep One-Stage Object Detection Neural Network †

Kanerva, Heini; Honkavaara, Eija; Näsi, Roope; Hakala, Teemu; Junttila, Samuli; Karila, Kirsi; Koivumäki, Niko; Alves Oliveira, Raquel; Pelto-Arvo, Mikko; Pölönen, Ilkka; Tuviala, Johanna; Östersund, Madeleine; Lyytikäinen-Saarenmaa, Päivi. 2022. Remote sensing. 14: . 6257

Exploring tree growth allometry using two-date terrestrial laser scanning

Yrttimaa, T.; Luoma, V.; Saarinen, N.; Kankare, V.; Junttila, S.; Holopainen, M.; Hyyppä, J.; Vastaranta, M.. 2022. Forest ecology and management. 518:

Multispectral Imagery Provides Benefits for Mapping Spruce Tree Decline Due to Bark Beetle Infestation When Acquired Late in the Season

Junttila, Samuli; Näsi, Roope; Koivumäki, Niko; Imangholiloo, Mohammad; Saarinen, Ninni; Raisio, Juha; Holopainen, Markus; Hyyppä, Hannu; Hyyppä, Juha; Lyytikäinen-Saarenmaa, Päivi; Vastaranta, Mikko; Honkavaara, Eija. 2022. Remote sensing. 14:

Tree Water Status Affects Tree Branch Position

Junttila, Samuli; Campos, Mariana; Hölttä, Teemu; Lindfors, Lauri; El Issaoui, Aimad; Vastaranta, Mikko; Hyyppä, Hannu; Puttonen, Eetu. 2022. Forests. 13:

Terrestrial laser scanning intensity captures diurnal variation in leaf water potential

Junttila, S; Hölttä, T; Puttonen, E; Katoh, M; Vastaranta, M; Kaartinen, H; Holopainen, M; Hyyppä, H. 2021. Remote sensing of environment. 255: 112274

Understanding 3D structural complexity of individual Scots pine trees with different management history

Saarinen, Ninni; Calders, Kim; Kankare, Ville; Yrttimaa, Tuomas; Junttila, Samuli; Luoma, Ville; Huuskonen, Saija; Hynynen, Jari; Verbeeck, Hans. 2021. Ecology and evolution. 11: 2561-2572

Youth Inclusion in Forest Policy Dialogue: Contemplating Human-Forest Relationships through Arts-Based Methods

Hujala, Teppo; Junttila, Samuli; Tokola, Nina. 2021. Rural landscapes. 8: 1-16

Avoimempi tiede tarvitsee uusia avauksia

Junttila, Samuli. 2020. Modus 3D journal. : 1-4

Structural Changes in Boreal Forests Can Be Quantified Using Terrestrial Laser Scanning

Yrttimaa, Tuomas; Luoma, Ville; Saarinen, Ninni; Kankare, Ville; Junttila, Samuli; Holopainen, Markus; Hyyppä, Juha; Vastaranta, Mikko. 2020. Remote sensing. 12: 2672

Tarkenna hakuasi

Tutkimusryhmät

Avainsanat

Julkaisut

A study of annual tree-wise LiDAR intensity patterns of boreal species observed using a hyper-temporal laser scanning time series

Bark beetle pre-emergence detection using multi-temporal hyperspectral drone images: Green shoulder indices can indicate subtle tree vitality decline

Detecting tree mortality using waveform features of airborne LiDAR

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

A method for identifying and segmenting branches of Scots pine (Pinus sylvestris L.) trees using terrestrial laser scanning

Assessing Forest Traversability for Autonomous Mobile Systems Using Close-Range Airborne Laser Scanning

Comparison of Deep Neural Networks in the Classification of Bark Beetle-Induced Spruce Damage Using UAS Images

Deep learning enables image-based tree counting, crown segmentation, and height prediction at national scale

Influence of phenology on waveform features in deciduous and coniferous trees in airborne LiDAR

StrucNet: a global network for automated vegetation structure monitoring

The Database of European Forest Insect and Disease Disturbances: DEFID2

Tree height and stem growth dynamics in a Scots pine dominated boreal forest

UAV-based reference data for the prediction of fractional cover of standing deadwood from Sentinel time series

A Novel Method to Simultaneously Measure Leaf Gas Exchange and Water Content

Adding single tree features and correcting edge tree effects enhance the characterization of seedling stands with single-photon airborne laser scanning

Capturing seasonal radial growth of boreal trees with terrestrial laser scanning

Close-Range Remote Sensing of Forests: The State of the Art, Challenges, and Opportunities for Systems and Data Acquisitions

Close-range hyperspectral spectroscopy reveals leaf water content dynamics

Effects of Stem Density on Crown Architecture of Scots Pine Trees

Estimating Tree Health Decline Caused by Ips typographus L. from UAS RGB Images Using a Deep One-Stage Object Detection Neural Network †

Exploring tree growth allometry using two-date terrestrial laser scanning

Multispectral Imagery Provides Benefits for Mapping Spruce Tree Decline Due to Bark Beetle Infestation When Acquired Late in the Season

Tree Water Status Affects Tree Branch Position

Terrestrial laser scanning intensity captures diurnal variation in leaf water potential

Understanding 3D structural complexity of individual Scots pine trees with different management history

Youth Inclusion in Forest Policy Dialogue: Contemplating Human-Forest Relationships through Arts-Based Methods

Avoimempi tiede tarvitsee uusia avauksia

Structural Changes in Boreal Forests Can Be Quantified Using Terrestrial Laser Scanning