Eija Honkavaara
Eija Honkavaara
Research Professor, Finnish Geospatial Research Institute, FGI
Vahvistettu sähköpostiosoite verkkotunnuksessa nls.fi - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Processing and assessment of spectrometric, stereoscopic imagery collected using a lightweight UAV spectral camera for precision agriculture
E Honkavaara, H Saari, J Kaivosoja, I Pölönen, T Hakala, P Litkey, ...
Remote Sensing 5 (10), 5006-5039, 2013
3792013
Point cloud generation from aerial image data acquired by a quadrocopter type micro unmanned aerial vehicle and a digital still camera
T Rosnell, E Honkavaara
Sensors 12 (1), 453-480, 2012
2692012
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
Quantitative remote sensing at ultra-high resolution with UAV spectroscopy: a review of sensor technology, measurement procedures, and data correction workflows
H Aasen, E Honkavaara, A Lucieer, PJ Zarco-Tejada
Remote Sensing 10 (7), 1091, 2018
1962018
Performance of dense digital surface models based on image matching in the estimation of plot-level forest variables
K Nurminen, M Karjalainen, X Yu, J Hyyppä, E Honkavaara
ISPRS Journal of Photogrammetry and Remote Sensing 83, 104-115, 2013
1232013
Factors affecting the quality of DTM generation in forested areas
H Hyyppä, X Yu, J Hyyppä, H Kaartinen, S Kaasalainen, E Honkavaara, ...
International Archives of Photogrammetry, Remote Sensing and Spatial …, 2005
1172005
Digital airborne photogrammetry—A new tool for quantitative remote sensing?—A state-of-the-art review on radiometric aspects of digital photogrammetric images
E Honkavaara, R Arbiol, L Markelin, L Martinez, M Cramer, S Bovet, ...
Remote Sensing 1 (3), 577-605, 2009
1162009
Comparison of the selected state-of-the-art 3D indoor scanning and point cloud generation methods
VV Lehtola, H Kaartinen, A Nüchter, R Kaijaluoto, A Kukko, P Litkey, ...
Remote sensing 9 (8), 796, 2017
982017
Comparison of laser and stereo optical, SAR and InSAR point clouds from air-and space-borne sources in the retrieval of forest inventory attributes
X Yu, J Hyyppä, M Karjalainen, K Nurminen, K Karila, M Vastaranta, ...
Remote Sensing 7 (12), 15933-15954, 2015
972015
Integration of laser scanning and photogrammetry
P Rönnholm, E Honkavaara, P Litkey, H Hyyppä, J Hyyppä
International Archives of Photogrammetry, Remote Sensing and Spatial …, 2007
852007
Geometric test field calibration of digital photogrammetric sensors
E Honkavaara, E Ahokas, J Hyyppä, J Jaakkola, H Kaartinen, R Kuittinen, ...
ISPRS Journal of Photogrammetry and Remote Sensing 60 (6), 387-399, 2006
822006
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
The use of a hand-held camera for individual tree 3D mapping in forest sample plots
X Liang, A Jaakkola, Y Wang, J Hyyppä, E Honkavaara, J Liu, ...
Remote Sensing 6 (7), 6587-6603, 2014
732014
Hyperspectral reflectance signatures and point clouds for precision agriculture by light weight UAV imaging system
E Honkavaara, J Kaivosoja, J Mäkynen, I Pellikka, L Pesonen, H Saari, ...
ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci 7, 353-358, 2012
702012
A permanent test field for digital photogrammetric systems
E Honkavaara, J Peltoniemi, E Ahokas, R Kuittinen, J Hyyppä, J Jaakkola, ...
Photogrammetric Engineering & Remote Sensing 74 (1), 95-106, 2008
682008
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
Forest data collection using terrestrial image-based point clouds from a handheld camera compared to terrestrial and personal laser scanning
X Liang, Y Wang, A Jaakkola, A Kukko, H Kaartinen, J Hyyppä, ...
IEEE transactions on geoscience and remote sensing 53 (9), 5117-5132, 2015
642015
Using individual tree crown approach for forest volume extraction with aerial images and laser point clouds
J Hyyppä, T Mielonen, H Hyyppä, M Maltamo, X Yu, E Honkavaara, ...
Proceedings of The ISPRS Workshop Laser Scanning 2005, 144-149, 2005
612005
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Artikkelit 1–20