Niko Viljanen
Niko Viljanen
Doctoral candidate
Verified email at nls.fi
Title
Cited by
Cited by
Year
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
2302015
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
2222017
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
742018
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
652018
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
652018
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
502016
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
332018
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
252018
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
192017
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
142016
Autonomous hyperspectral UAS photogrammetry for environmental monitoring applications
E Honkavaara, T Hakala, L Markelin, A Jaakkola, H Saari, H Ojanen, ...
ISPRS Archives, 2014
142014
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
122017
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
102016
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
92018
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
72018
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
72018
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
62020
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
62018
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
62017
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
42020
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