| 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 | 239 | 2015 |
| 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 | 80 | 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 | 71 | 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 | 69 | 2018 |
| 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 | 40 | 2018 |
| 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 | 36 | 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 | 32 | 2018 |
| Characterizing seedling stands using leaf-off and leaf-on photogrammetric point clouds and hyperspectral imagery acquired from unmanned aerial vehicle M Imangholiloo, N Saarinen, L Markelin, T Rosnell, R Näsi, T Hakala, ... Forests 10 (5), 415, 2019 | 19 | 2019 |
| Radiometric block adjustment of hyperspectral image blocks in the Brazilian environment GT Miyoshi, NN Imai, AMG Tommaselli, E Honkavaara, R Näsi, ... International journal of remote sensing 39 (15-16), 4910-4930, 2018 | 19 | 2018 |
| Autonomous hyperspectral UAS photogrammetry for environmental monitoring applications E Honkavaara, T Hakala, L Markelin, A Jaakkola, H Saari, H Ojanen, ... ISPRS Archives, 2014 | 15 | 2014 |
| 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 |
| 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 | 13 | 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 |
| 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 | 9 | 2020 |
| 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 | 9 | 2018 |
| 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 | 8 | 2018 |
| GEOMETRIC PROCESSING WORKFLOW FOR VERTICAL AND OBLIQUE HYPERSPECTRAL FRAME IMAGES COLLECTED USING UAV. L Markelin, E Honkavaara, R Näsi, K Nurminen, T Hakala International Archives of the Photogrammetry, Remote Sensing & Spatial …, 2014 | 8 | 2014 |
| Using UAV-based photogrammetry and hyperspectral imaging for mapping bark beetle damage at tree-level. Remote Sens 7: 15467–15493 R Näsi, E Honkavaara, P Lyytikäinen-Saarenmaa, M Blomqvist, P Litkey, ... | 7 | 2015 |
| 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 |
| Time series of images to improve tree species classification GT Miyoshi, NN Imai, MVA De Moraes, AMG Tommaselli, R Näsi International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2017 | 5 | 2017 |
Eija HonkavaaraResearch Professor, Finnish Geospatial Research Institute, FGIVahvistettu sähköpostiosoite verkkotunnuksessa nls.fi
