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Roope Näsi
National Land Survey of Finland - Helsinki / Finland
Agriculture & Forestry / Agriculture
AD Scientific Index ID: 4982323
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Roope Näsi's MOST POPULAR ARTICLES
1-)
Using UAV-based photogrammetry and hyperspectral imaging for mapping bark beetle damage at tree-levelR Näsi, E Honkavaara, P Lyytikäinen-Saarenmaa, M Blomqvist, P Litkey, ...Remote Sensing 7 (11), 15467-15493, 20153962015
2-)
Remote sensing of bark beetle damage in urban forests at individual tree level using a novel hyperspectral camera from UAV and aircraftR Näsi, E Honkavaara, M Blomqvist, P Lyytikäinen-Saarenmaa, T Hakala, ...Urban Forestry & Urban Greening 30, 72-83, 20181972018
3-)
A novel machine learning method for estimating biomass of grass swards using a photogrammetric canopy height model, images and vegetation indices captured by a droneN Viljanen, E Honkavaara, R Näsi, T Hakala, O Niemeläinen, J KaivosojaAgriculture 8 (5), 70, 20181882018
4-)
Estimating biomass and nitrogen amount of barley and grass using UAV and aircraft based spectral and photogrammetric 3D featuresR Näsi, N Viljanen, J Kaivosoja, K Alhonoja, T Hakala, L Markelin, ...Remote Sensing 10 (7), 1082, 20181742018
5-)
Assessing biodiversity in boreal forests with UAV-based photogrammetric point clouds and hyperspectral imagingN Saarinen, M Vastaranta, R Näsi, T Rosnell, T Hakala, E Honkavaara, ...Remote Sensing 10 (2), 338, 2018982018
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