| 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 | 499 | 2017 |
| Individual tree detection and classification with UAV-based photogrammetric point clouds and hyperspectral imaging. Remote Sens 9, article id 185 O Nevalainen, E Honkavaara, S Tuominen, N Viljanen, T Hakala, X Yu, ... | 499* | 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 | 443 | 2015 |
| 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 | 224 | 2018 |
| 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 | 222 | 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 | 178 | 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 | 106 | 2020 |
| 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 | 97 | 2021 |
| 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 | 96 | 2016 |
| 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 |
| Assessment of classifiers and remote sensing features of hyperspectral imagery and stereo-photogrammetric point clouds for recognition of tree species in a forest area of high … S Tuominen, R Näsi, E Honkavaara, A Balazs, T Hakala, N Viljanen, ... Remote Sensing 10 (5), 714, 2018 | 70 | 2018 |
| Direct reflectance transformation methodology for drone-based hyperspectral imaging J Suomalainen, RA Oliveira, T Hakala, N Koivumäki, L Markelin, R Näsi, ... Remote Sensing of Environment 266, 112691, 2021 | 58 | 2021 |
| Assessing the effects of stand dynamics on stem growth allocation of individual Scots pine trees N Saarinen, V Kankare, T Yrttimaa, N Viljanen, E Honkavaara, ... bioRxiv, 2020 | 55* | 2020 |
| Assessing the effects of thinning on stem growth allocation of individual Scots pine trees N Saarinen, V Kankare, T Yrttimaa, N Viljanen, E Honkavaara, ... Forest Ecology and Management 474, 118344, 2020 | 51 | 2020 |
| 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 | 42 | 2020 |
| 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 | 38 | 2022 |
| Hyperspectral UAV-imagery and photogrammetric canopy height model in estimating forest stand variables S Tuominen, A Balazs, E Honkavaara, I Pölönen, H Saari, T Hakala, ... Silva Fennica 51, 2017 | 38 | 2017 |
| A novel tilt correction technique for irradiance sensors and spectrometers on-board unmanned aerial vehicles J Suomalainen, T Hakala, R Alves de Oliveira, L Markelin, N Viljanen, ... Remote Sensing 10 (12), 2068, 2018 | 27 | 2018 |
| Autonomous hyperspectral UAS photogrammetry for environmental monitoring applications E Honkavaara, T Hakala, L Markelin, A Jaakkola, H Saari, H Ojanen, ... ISPRS Archives, 2014 | 27 | 2014 |
| Estimating Grass Sward Quality and Quantity Parameters Using Drone Remote Sensing with Deep Neural Networks K Karila, R Alves Oliveira, J Ek, J Kaivosoja, N Koivumäki, P Korhonen, ... Remote Sensing 14 (11), 2692, 2022 | 26 | 2022 |
