| Close-Range Remote Sensing of Forests: The state of the art, challenges, and opportunities for systems and data acquisitions X Liang, A Kukko, I Balenović, N Saarinen, S Junttila, V Kankare, ... IEEE geoscience and remote sensing magazine 10 (3), 32-71, 2022 | 71 | 2022 |
| The potential of dual-wavelength terrestrial lidar in early detection of Ips typographus (L.) infestation–Leaf water content as a proxy S Junttila, M Holopainen, M Vastaranta, P Lyytikäinen-Saarenmaa, ... Remote Sensing of Environment 231, 111264, 2019 | 46 | 2019 |
| Deep learning enables image-based tree counting, crown segmentation, and height prediction at national scale S Li, M Brandt, R Fensholt, A Kariryaa, C Igel, F Gieseke, T Nord-Larsen, ... PNAS nexus 2 (4), pgad076, 2023 | 42 | 2023 |
| Multispectral imagery provides benefits for mapping spruce tree decline due to bark beetle infestation when acquired late in the season S Junttila, R Näsi, N Koivumäki, M Imangholiloo, N Saarinen, J Raisio, ... Remote Sensing 14 (4), 909, 2022 | 41 | 2022 |
| Measuring leaf water content with dual-wavelength intensity data from terrestrial laser scanners S Junttila, M Vastaranta, X Liang, H Kaartinen, A Kukko, S Kaasalainen, ... Remote Sensing 9 (1), 8, 2016 | 39 | 2016 |
| UAV-based reference data for the prediction of fractional cover of standing deadwood from Sentinel time series F Schiefer, S Schmidtlein, A Frick, J Frey, R Klinke, K Zielewska-Büttner, ... ISPRS Open Journal of Photogrammetry and Remote Sensing 8, 100034, 2023 | 37 | 2023 |
| Close-range hyperspectral spectroscopy reveals leaf water content dynamics S Junttila, T Hölttä, N Saarinen, V Kankare, T Yrttimaa, J Hyyppä, ... Remote Sensing of Environment 277, 113071, 2022 | 37 | 2022 |
| Can leaf water content be estimated using multispectral terrestrial laser scanning? A case study with Norway spruce seedlings S Junttila, J Sugano, M Vastaranta, R Linnakoski, H Kaartinen, A Kukko, ... Frontiers in plant science 9, 299, 2018 | 37 | 2018 |
| Understanding 3D structural complexity of individual Scots pine trees with different management history N Saarinen, K Calders, V Kankare, T Yrttimaa, S Junttila, V Luoma, ... Ecology and Evolution 11 (6), 2561-2572, 2021 | 30 | 2021 |
| Investigating bi-temporal hyperspectral LiDAR measurements from declined trees—Experiences from laboratory test S Junttila, S Kaasalainen, M Vastaranta, T Hakala, O Nevalainen, ... Remote Sensing 7 (10), 13863-13877, 2015 | 29 | 2015 |
| Structural changes in boreal forests can be quantified using terrestrial laser scanning T Yrttimaa, V Luoma, N Saarinen, V Kankare, S Junttila, M Holopainen, ... Remote Sensing 12 (17), 2672, 2020 | 25 | 2020 |
| Effects of water availability on a forestry pathosystem: fungal strain-specific variation in disease severity R Linnakoski, J Sugano, S Junttila, P Pulkkinen, FO Asiegbu, KM Forbes Scientific reports 7 (1), 13501, 2017 | 22 | 2017 |
| Exploring tree growth allometry using two-date terrestrial laser scanning T Yrttimaa, V Luoma, N Saarinen, V Kankare, S Junttila, M Holopainen, ... Forest Ecology and Management 518, 120303, 2022 | 21 | 2022 |
| Effect of forest structure and health on the relative surface temperature captured by airborne thermal imagery–Case study in Norway Spruce-dominated stands in Southern Finland S Junttila, M Vastaranta, J Hämäläinen, P Latva-Käyrä, M Holopainen, ... Scandinavian Journal of Forest Research 32 (2), 154-165, 2017 | 16 | 2017 |
| StrucNet: a global network for automated vegetation structure monitoring K Calders, B Brede, G Newnham, D Culvenor, J Armston, H Bartholomeus, ... Remote Sensing in Ecology and Conservation 9 (5), 587-598, 2023 | 15 | 2023 |
| Capturing seasonal radial growth of boreal trees with terrestrial laser scanning T Yrttimaa, S Junttila, V Luoma, K Calders, V Kankare, N Saarinen, ... Forest Ecology and Management 529, 120733, 2023 | 15 | 2023 |
| Terrestrial laser scanning intensity captures diurnal variation in leaf water potential S Junttila, T Hölttä, E Puttonen, M Katoh, M Vastaranta, H Kaartinen, ... Remote Sensing of Environment 255, 112274, 2021 | 15 | 2021 |
| The Database of European Forest Insect and Disease Disturbances: DEFID2 G Forzieri, LP Dutrieux, A Elia, B Eckhardt, G Caudullo, FÁ Taboada, ... Global Change Biology 29 (21), 6040-6065, 2023 | 14 | 2023 |
| Comparison of deep neural networks in the classification of bark beetle-induced spruce damage using UAS images E Turkulainen, E Honkavaara, R Näsi, RA Oliveira, T Hakala, S Junttila, ... Remote Sensing 15 (20), 4928, 2023 | 14 | 2023 |
| Significant increase in forest canopy mortality in boreal forests in Southeast Finland S Junttila, M Blomqvist, V Laukkanen, E Heinaro, A Polvivaara, ... Forest Ecology and Management 565, 122020, 2024 | 12 | 2024 |
Mikko VastarantaProfessor, School of Forest Sciences, University of Eastern FinlandVerified email at uef.fi
