Roope Näsi
Roope Näsi
Research Scientist, Finnish Geospatial Research Institute (National Land Survey of Finland)
Vahvistettu sähköpostiosoite verkkotunnuksessa nls.fi - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
2392015
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
802018
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
712018
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
692018
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
402018
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
362018
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
322018
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
192019
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
192018
Autonomous hyperspectral UAS photogrammetry for environmental monitoring applications
E Honkavaara, T Hakala, L Markelin, A Jaakkola, H Saari, H Ojanen, ...
ISPRS Archives, 2014
152014
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
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
132017
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
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
92020
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
92018
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
82018
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
82014
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, ...
72015
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
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
52017
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–20