Olli Nevalainen
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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
Tree Species Classification of Drone Hyperspectral and RGB Imagery with Deep Learning Convolutional Neural Networks
S Nezami, E Khoramshahi, O Nevalainen, I Pölönen, E Honkavaara
Remote Sensing 12 (7), 1070, 2020
Forest in situ observations using unmanned aerial vehicle as an alternative of terrestrial measurements
X Liang, Y Wang, J Pyörälä, M Lehtomäki, X Yu, H Kaartinen, A Kukko, ...
Forest Ecosystems 6 (1), 20, 2019
Fast and nondestructive method for leaf level chlorophyll estimation using hyperspectral LiDAR
O Nevalainen, T Hakala, J Suomalainen, R Mäkipää, M Peltoniemi, ...
Agricultural and Forest Meteorology 198, 250-258, 2014
Classification of spruce and pine trees using active hyperspectral LiDAR
J Vauhkonen, T Hakala, JM Suomalainen, S Kaasalainen, O Nevalainen, ...
IEEE Geoscience and Remote Sensing Letters 10 (5), 1138-1141, 2013
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
Correction of intensity incidence angle effect in terrestrial laser scanning
A Krooks, S Kaasalainen, T Hakala, O Nevalainen
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2013
Artificial target detection with a hyperspectral LiDAR over 26-h measurement
E Puttonen, T Hakala, O Nevalainen, S Kaasalainen, A Krooks, ...
Optical Engineering 54 (1), 013105-013105, 2015
Monitoring Changes in Rice Cultivated Area from SAR and Optical Satellite Images in Ben Tre and Tra Vinh Provinces in Mekong Delta, Vietnam
K Karila, O Nevalainen, A Krooks, M Karjalainen, S Kaasalainen
Remote Sensing 6 (5), 4090-4108, 2014
Using multitemporal hyper-and multispectral UAV imaging for detecting bark beetle infestation on norway spruce
E Honkavaara, R Näsi, R Oliveira, N Viljanen, J Suomalainen, ...
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2020
Technical Note: Multispectral lidar time series of pine canopy chlorophyll content
T Hakala, O Nevalainen, S Kaasalainen, R Mäkipää
Biogeosciences 12 (5), 1629-1634, 2015
Nitrogen concentration estimation with hyperspectral LiDAR
O Nevalainen, T Hakala, J Suomalainen, S Kaasalainen
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci, 205-210, 2013
Investigating Bi-Temporal Hyperspectral Lidar Measurements from Declined Trees—Experiences from Laboratory Test
S Junttila, S Kaasalainen, M Vastaranta, T Hakala, O Nevalainen, ...
Remote Sensing 7 (10), 13863-13877, 2015
Uncertainty in multispectral lidar signals caused by incidence angle effects
S Kaasalainen, M Åkerblom, O Nevalainen, T Hakala, M Kaasalainen
Interface focus 8 (2), 20170033, 2018
Carbon dioxide fluxes and carbon balance of an agricultural grassland in southern Finland
L Heimsch, A Lohila, JP Tuovinen, H Vekuri, J Heinonsalo, O Nevalainen, ...
Biogeosciences 18 (11), 3467-3483, 2021
Incidence angle dependency of leaf vegetation indices from hyperspectral lidar measurements
S Kaasalainen, O Nevalainen, T Hakala, K Anttila
Photogramm. Fernerkundung Geoinform 2016, 75-84, 2016
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
Partial cutting of a boreal nutrient-rich peatland forest causes radically less short-term on-site CO2 emissions than clear-cutting
M Korkiakoski, P Ojanen, JP Tuovinen, K Minkkinen, O Nevalainen, ...
Agricultural and Forest Meteorology 332, 109361, 2023
Tracking vegetation phenology of pristine northern boreal peatlands by combining digital photography with CO2 flux and remote sensing data
M Linkosalmi, JP Tuovinen, O Nevalainen, M Peltoniemi, CM Taniş, ...
Biogeosciences 19 (19), 4747-4765, 2022
Towards agricultural soil carbon monitoring, reporting, and verification through the Field Observatory Network (FiON)
O Nevalainen, O Niemitalo, I Fer, A Juntunen, T Mattila, O Koskela, ...
Geoscientific Instrumentation, Methods and Data Systems 11 (1), 93-109, 2022
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