| 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 | 230 | 2015 |
| 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 | 222 | 2017 |
| 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 | 74 | 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 | 65 | 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 | 65 | 2018 |
| 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 | 50 | 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 | 33 | 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 | 25 | 2018 |
| 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 | 19 | 2017 |
| UAS based tree species identification using the novel FPI based hyperspectral cameras in visible, NIR and SWIR spectral ranges R Näsi, E Honkavaara, S Tuominen, H Saari, I Pölönen, T Hakala, ... International archives of the photogrammetry, remote sensing and spatial …, 2016 | 14 | 2016 |
| Autonomous hyperspectral UAS photogrammetry for environmental monitoring applications E Honkavaara, T Hakala, L Markelin, A Jaakkola, H Saari, H Ojanen, ... ISPRS Archives, 2014 | 14 | 2014 |
| ASSESSMENT OF VARIOUS REMOTE SENSING TECHNOLOGIES IN BIOMASS AND NITROGEN CONTENT ESTIMATION USING AN AGRICULTURAL TEST FIELD. R Näsi, N Viljanen, J Kaivosoja, T Hakala, M Pandžić, L Markelin, ... International Archives of the Photogrammetry, Remote Sensing & Spatial …, 2017 | 12 | 2017 |
| Geometric and reflectance signature characterization of complex canopies using hyperspectral stereoscopic images from uav and terrestrial platforms E Honkavaara, T Hakala, O Nevalainen, N Viljanen, T Rosnell, ... International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2016 | 10 | 2016 |
| Real-time and post-processed georeferencing for hyperpspectral drone remote sensing RA Oliveira, E Khoramshahi, J Suomalainen, T Hakala, N Viljanen, ... The international archives of the photogrammetry, remote sensing and spatial …, 2018 | 9 | 2018 |
| 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 | 7 | 2018 |
| OPTIMIZING RADIOMETRIC PROCESSING AND FEATURE EXTRACTION OF DRONE BASED HYPERSPECTRAL FRAME FORMAT IMAGERY FOR ESTIMATION OF YIELD QUANTITY AND QUALITY OF A GRASS SWARD. R Näsi, N Viljanen, R Oliveira, J Kaivosoja, O Niemeläinen, T Hakala, ... International Archives of the Photogrammetry, Remote Sensing & Spatial …, 2018 | 7 | 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 | 6 | 2020 |
| 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 | 6 | 2018 |
| Tree species recognition in species rich area using UAV-borne hyperspectral imagery and stereo-photogrammetric point cloud S Tuominen, R Näsi, E Honkavaara, A Balazs, T Hakala, N Viljanen, ... International archives of the photogrammetry, remote sensing and spatial …, 2017 | 6 | 2017 |
| Multisensorial Close-Range Sensing Generates Benefits for Characterization of Managed Scots Pine (Pinus sylvestris L.) Stands T Yrttimaa, N Saarinen, V Kankare, N Viljanen, J Hynynen, S Huuskonen, ... ISPRS International Journal of Geo-Information 9 (5), 309, 2020 | 4 | 2020 |
