| Processing and assessment of spectrometric, stereoscopic imagery collected using a lightweight UAV spectral camera for precision agriculture E Honkavaara, H Saari, J Kaivosoja, I Pölönen, T Hakala, P Litkey, ... Remote Sensing 5 (10), 5006-5039, 2013 | 572 | 2013 |
| 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 | 465 | 2017 |
| Using UAV-based photogrammetry and hyperspectral imaging for mapping bark beetle damage at tree-level R Näsi, E Honkavaara, P Lyytikäinen-Saarenmaa, M Blomqvist, P Litkey, ... Remote Sensing 7 (11), 15467-15493, 2015 | 415 | 2015 |
| Full waveform hyperspectral LiDAR for terrestrial laser scanning T Hakala, J Suomalainen, S Kaasalainen, Y Chen Optics express 20 (7), 7119-7127, 2012 | 354 | 2012 |
| Remote sensing of bark beetle damage in urban forests at individual tree level using a novel hyperspectral camera from UAV and aircraft R Näsi, E Honkavaara, M Blomqvist, P Lyytikäinen-Saarenmaa, T Hakala, ... Urban Forestry & Urban Greening 30, 72-83, 2018 | 209 | 2018 |
| A novel machine learning method for estimating biomass of grass swards using a photogrammetric canopy height model, images and vegetation indices captured by a drone N Viljanen, E Honkavaara, R Näsi, T Hakala, O Niemeläinen, J Kaivosoja Agriculture 8 (5), 70, 2018 | 202 | 2018 |
| Estimating biomass and nitrogen amount of barley and grass using UAV and aircraft based spectral and photogrammetric 3D features R Näsi, N Viljanen, J Kaivosoja, K Alhonoja, T Hakala, L Markelin, ... Remote Sensing 10 (7), 1082, 2018 | 169 | 2018 |
| Two-channel hyperspectral LiDAR with a supercontinuum laser source Y Chen, E Räikkönen, S Kaasalainen, J Suomalainen, T Hakala, ... Sensors 10 (7), 7057-7066, 2010 | 143 | 2010 |
| Under-canopy UAV laser scanning for accurate forest field measurements E Hyyppä, J Hyyppä, T Hakala, A Kukko, MA Wulder, JC White, J Pyörälä, ... ISPRS Journal of Photogrammetry and Remote Sensing 164, 41-60, 2020 | 138 | 2020 |
| Comparison of backpack, handheld, under-canopy UAV, and above-canopy UAV laser scanning for field reference data collection in boreal forests E Hyyppä, X Yu, H Kaartinen, T Hakala, A Kukko, M Vastaranta, J Hyyppä Remote Sensing 12 (20), 3327, 2020 | 137 | 2020 |
| SLAM-aided stem mapping for forest inventory with small-footprint mobile LiDAR J Tang, Y Chen, A Kukko, H Kaartinen, A Jaakkola, E Khoramshahi, ... Forests 6 (12), 4588-4606, 2015 | 115 | 2015 |
| Hyperspectral reflectance signatures and point clouds for precision agriculture by light weight UAV imaging system E Honkavaara, J Kaivosoja, J Mäkynen, I Pellikka, L Pesonen, H Saari, ... ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2012 | 107 | 2012 |
| Polarised bidirectional reflectance factor measurements from soil, stones, and snow J Peltoniemi, T Hakala, J Suomalainen, E Puttonen Journal of Quantitative Spectroscopy and Radiative Transfer 110 (17), 1940-1953, 2009 | 104 | 2009 |
| Assessing biodiversity in boreal forests with UAV-based photogrammetric point clouds and hyperspectral imaging N Saarinen, M Vastaranta, R Näsi, T Rosnell, T Hakala, E Honkavaara, ... Remote Sensing 10 (2), 338, 2018 | 97 | 2018 |
| Machine learning estimators for the quantity and quality of grass swards used for silage production using drone-based imaging spectrometry and photogrammetry RA Oliveira, R Näsi, O Niemeläinen, L Nyholm, K Alhonoja, J Kaivosoja, ... Remote Sensing of Environment 246, 111830, 2020 | 96 | 2020 |
| Tree species classification from fused active hyperspectral reflectance and LIDAR measurements E Puttonen, J Suomalainen, T Hakala, E Räikkönen, H Kaartinen, ... Forest Ecology and Management 260 (10), 1843-1852, 2010 | 96 | 2010 |
| 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 | 95 | 2014 |
| Remote sensing of 3-D geometry and surface moisture of a peat production area using hyperspectral frame cameras in visible to short-wave infrared spectral ranges onboard a … E Honkavaara, MA Eskelinen, I Pölönen, H Saari, H Ojanen, R Mannila, ... IEEE Transactions on Geoscience and Remote Sensing 54 (9), 5440-5454, 2016 | 94 | 2016 |
| Structural and photosynthetic dynamics mediate the response of SIF to water stress in a potato crop S Xu, J Atherton, A Riikonen, C Zhang, J Oivukkamäki, A MacArthur, ... Remote Sensing of Environment 263, 112555, 2021 | 88 | 2021 |
| Acquisition of bidirectional reflectance factor dataset using a micro unmanned aerial vehicle and a consumer camera T Hakala, J Suomalainen, JI Peltoniemi Remote Sensing 2 (3), 819-832, 2010 | 88 | 2010 |
