O
Olli Nevalainen
Researcher at Finnish Meteorological Institute
Publications - 32
Citations - 997
Olli Nevalainen is an academic researcher from Finnish Meteorological Institute. The author has contributed to research in topics: Hyperspectral imaging & Lidar. The author has an hindex of 14, co-authored 25 publications receiving 737 citations. Previous affiliations of Olli Nevalainen include Finnish Geodetic Institute & National Land Survey of Finland.
Papers
More filters
Journal ArticleDOI
Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging
Olli Nevalainen,Eija Honkavaara,Sakari Tuominen,Niko Viljanen,Teemu Hakala,Xiaowei Yu,Juha Hyyppä,Heikki Saari,Ilkka Pölönen,Nilton Nobuhiro Imai,Antonio Maria Garcia Tommaselli +10 more
TL;DR: Results were promising, indicating that hyperspectral 3D remote sensing was operational from a UAV platform even in very difficult conditions, and are expected to provide a powerful tool for automating various environmental close-range remote sensing tasks in the very near future.
Journal ArticleDOI
Forest in situ observations using unmanned aerial vehicle as an alternative of terrestrial measurements
Xinlian Liang,Yunsheng Wang,Jiri Pyörälä,Matti Lehtomäki,Xiaowei Yu,Harri Kaartinen,Antero Kukko,Eija Honkavaara,Aimad El Issaoui,Olli Nevalainen,Matti Vaaja,Juho-Pekka Virtanen,Juho-Pekka Virtanen,Masato Katoh,Songqiu Deng +14 more
TL;DR: In this article, the performance of UAV-baring laser scanning (ULS) point clouds is evaluated in 22 sample plots of various forest stand conditions in a boreal forest.
Journal ArticleDOI
Fast and nondestructive method for leaf level chlorophyll estimation using hyperspectral LiDAR
Olli Nevalainen,Teemu Hakala,Juha Suomalainen,Juha Suomalainen,Raisa Mäkipää,Mikko Peltoniemi,Anssi Krooks,Sanna Kaasalainen +7 more
TL;DR: In this paper, the first prototype of a full waveform hyperspectral LiDAR instrument has been developed by the Finnish Geodetic Institute (FGI), which is able to produce 3D point clouds with spectral information included for every point, which offers great potential in the field of environmental remote sensing.
Journal ArticleDOI
Classification of Spruce and Pine Trees Using Active Hyperspectral LiDAR
Jari Vauhkonen,Teemu Hakala,Juha Suomalainen,Sanna Kaasalainen,Olli Nevalainen,Mikko Vastaranta,Markus Holopainen,Juha Hyyppä +7 more
TL;DR: This work tested an active hyperspectral LiDAR instrument in a laboratory measurement of spruce and pine trees to find out whether these species could be separated by means of combined range and reflectance measurements.
Journal ArticleDOI
Direct Reflectance Measurements from Drones: Sensor Absolute Radiometric Calibration and System Tests for Forest Reflectance Characterization.
Teemu Hakala,Lauri Markelin,Eija Honkavaara,Barry Scott,Theo Theocharous,Olli Nevalainen,Roope Näsi,Juha Suomalainen,Niko Viljanen,Claire Greenwell,Nigel Fox +10 more
TL;DR: The objective is to develop a method for direct reflectance measurements for drone-based remote sensing based on an imaging spectrometer and irradiance spectrumeter based on a tuneable Fabry-Pérot Interferometer -based hyperspectral camera.