| Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging O Nevalainen, E Honkavaara, S Tuominen, N Viljanen, T Hakala, X Yu, ... Remote Sensing 9 (3), 185, 2017 | 479 | 2017 |
| Tree Species Classification of Drone Hyperspectral and RGB Imagery with Deep Learning Convolutional Neural Networks S Nezami, E Khoramshahi, O Nevalainen, I Pölönen, E Honkavaara Remote Sensing 12 (7), 1070, 2020 | 176 | 2020 |
| Forest in situ observations using unmanned aerial vehicle as an alternative of terrestrial measurements X Liang, Y Wang, J Pyörälä, M Lehtomäki, X Yu, H Kaartinen, A Kukko, ... Forest Ecosystems 6 (1), 20, 2019 | 142 | 2019 |
| Fast and nondestructive method for leaf level chlorophyll estimation using hyperspectral LiDAR O Nevalainen, T Hakala, J Suomalainen, R Mäkipää, M Peltoniemi, ... Agricultural and Forest Meteorology 198, 250-258, 2014 | 99 | 2014 |
| Direct reflectance measurements from drones: Sensor absolute radiometric calibration and system tests for forest reflectance characterization T Hakala, L Markelin, E Honkavaara, B Scott, T Theocharous, ... Sensors 18 (5), 1417, 2018 | 87 | 2018 |
| Classification of spruce and pine trees using active hyperspectral LiDAR J Vauhkonen, T Hakala, JM Suomalainen, S Kaasalainen, O Nevalainen, ... IEEE Geoscience and Remote Sensing Letters 10 (5), 1138-1141, 2013 | 81 | 2013 |
| Correction of intensity incidence angle effect in terrestrial laser scanning A Krooks, S Kaasalainen, T Hakala, O Nevalainen ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2013 | 60 | 2013 |
| Artificial target detection with a hyperspectral LiDAR over 26-h measurement E Puttonen, T Hakala, O Nevalainen, S Kaasalainen, A Krooks, ... Optical Engineering 54 (1), 013105-013105, 2015 | 56 | 2015 |
| Monitoring Changes in Rice Cultivated Area from SAR and Optical Satellite Images in Ben Tre and Tra Vinh Provinces in Mekong Delta, Vietnam K Karila, O Nevalainen, A Krooks, M Karjalainen, S Kaasalainen Remote Sensing 6 (5), 4090-4108, 2014 | 56 | 2014 |
| Using multitemporal hyper-and multispectral UAV imaging for detecting bark beetle infestation on norway spruce E Honkavaara, R Näsi, R Oliveira, N Viljanen, J Suomalainen, ... The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2020 | 41 | 2020 |
| Technical Note: Multispectral lidar time series of pine canopy chlorophyll content T Hakala, O Nevalainen, S Kaasalainen, R Mäkipää Biogeosciences 12 (5), 1629-1634, 2015 | 30 | 2015 |
| Nitrogen concentration estimation with hyperspectral LiDAR O Nevalainen, T Hakala, J Suomalainen, S Kaasalainen ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci, 205-210, 2013 | 29 | 2013 |
| Carbon dioxide fluxes and carbon balance of an agricultural grassland in southern Finland L Heimsch, A Lohila, JP Tuovinen, H Vekuri, J Heinonsalo, O Nevalainen, ... Biogeosciences 18 (11), 3467-3483, 2021 | 28 | 2021 |
| Uncertainty in multispectral lidar signals caused by incidence angle effects S Kaasalainen, M Åkerblom, O Nevalainen, T Hakala, M Kaasalainen Interface focus 8 (2), 20170033, 2018 | 28 | 2018 |
| 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 | 28 | 2015 |
| Towards agricultural soil carbon monitoring, reporting, and verification through the Field Observatory Network (FiON) O Nevalainen, O Niemitalo, I Fer, A Juntunen, T Mattila, O Koskela, ... Geoscientific Instrumentation, Methods and Data Systems 11 (1), 93-109, 2022 | 25 | 2022 |
| Partial cutting of a boreal nutrient-rich peatland forest causes radically less short-term on-site CO2 emissions than clear-cutting M Korkiakoski, P Ojanen, JP Tuovinen, K Minkkinen, O Nevalainen, ... Agricultural and Forest Meteorology 332, 109361, 2023 | 24 | 2023 |
| Tracking vegetation phenology of pristine northern boreal peatlands by combining digital photography with CO2 flux and remote sensing data M Linkosalmi, JP Tuovinen, O Nevalainen, M Peltoniemi, CM Taniş, ... Biogeosciences 19 (19), 4747-4765, 2022 | 21 | 2022 |
| Incidence angle dependency of leaf vegetation indices from hyperspectral lidar measurements S Kaasalainen, O Nevalainen, T Hakala, K Anttila Photogramm. Fernerkundung Geoinform 2016, 75-84, 2016 | 21 | 2016 |
| Tree Species Identification Using 3D Spectral Data and 3D Convolutional Neural Network I Pölönen, L Annala, S Rahkonen, O Nevalainen, E Honkavaara, ... 2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2018 | 17 | 2018 |
Sanna KaasalainenFinnish Geodetic InstituteVerified email at fgi.fi
