Paula Litkey
Paula Litkey
Finnish Geospatial Research Institute FGI
Verified email at
Cited by
Cited by
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
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
Automatic stem mapping using single-scan terrestrial laser scanning
X Liang, P Litkey, J Hyyppa, H Kaartinen, M Vastaranta, M Holopainen
IEEE Transactions on Geoscience and Remote Sensing 50 (2), 661-670, 2011
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
Radiometric calibration of LIDAR intensity with commercially available reference targets
S Kaasalainen, H Hyyppa, A Kukko, P Litkey, E Ahokas, J Hyyppa, ...
IEEE Transactions on Geoscience and Remote Sensing 47 (2), 588-598, 2008
Effect of incidence angle on laser scanner intensity and surface data
A Kukko, S Kaasalainen, P Litkey
Applied optics 47 (7), 986-992, 2008
Object-based analysis of multispectral airborne laser scanner data for land cover classification and map updating
L Matikainen, K Karila, J Hyyppä, P Litkey, E Puttonen, E Ahokas
ISPRS Journal of Photogrammetry and Remote Sensing 128, 298-313, 2017
Single-sensor solution to tree species classification using multispectral airborne laser scanning
X Yu, J Hyyppä, P Litkey, H Kaartinen, M Vastaranta, M Holopainen
Remote Sensing 9 (2), 108, 2017
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
Brightness measurements and calibration with airborne and terrestrial laser scanners
S Kaasalainen, A Kukko, T Lindroos, P Litkey, H Kaartinen, J Hyyppa, ...
IEEE transactions on geoscience and remote sensing 46 (2), 528-534, 2008
Tree species classification from fused active hyperspectral reflectance and LIDAR measurements
E Puttonen, J Suomalainen, T Hakala, E Räikkönen, H Kaartinen, ...
Forest Ecology and Management 260 (10), 1843-1852, 2010
Remote sensing of 3-D geometry and surface moisture of a peat production area using hyperspectral frame cameras in visible to short-wave infrared spectral ranges onboard a …
E Honkavaara, MA Eskelinen, I Pölönen, H Saari, H Ojanen, R Mannila, ...
IEEE Transactions on Geoscience and Remote Sensing 54 (9), 5440-5454, 2016
Tree classification with fused mobile laser scanning and hyperspectral data
E Puttonen, A Jaakkola, P Litkey, J Hyyppä
Sensors 11, 5158-5182, 2011
Use of naturally available reference targets to calibrate airborne laser scanning intensity data
A Vain, S Kaasalainen, U Pyysalo, A Krooks, P Litkey
Sensors 9 (4), 2780-2796, 2009
Automatic storm damage detection in forests using high-altitude photogrammetric imagery
E Honkavaara, P Litkey, K Nurminen
Remote Sensing 5 (3), 1405-1424, 2013
Assessment of low density full-waveform airborne laser scanning for individual tree detection and tree species classification
X Yu, P Litkey, J Hyyppä, M Holopainen, M Vastaranta
Forests 5 (5), 1011-1031, 2014
Individual tree species classification by illuminated—Shaded area separation
E Puttonen, P Litkey, J Hyyppä
Remote Sensing 2 (1), 19-35, 2009
Automatic plot-wise tree location mapping using single-scan terrestrial laser scanning
X Liang, P Litkey, J Hyyppä, H Kaartinen, A Kukko, M Holopainen
Photogramm. J. Finland 22 (2), 37-48, 2011
Single-scan TLS methods for forest parameter retrieval
P Litkey, X Liang, H Kaartinen, J Hyyppä, A Kukko, M Holopainen, R Hill, ...
Proceedings of SilviLaser 2008, 8th, 2008
Map updating and change detection using vehicle-based laser scanning
J Hyyppa, A Jaakkola, H Hyyppa, H Kaartinen, A Kukko, M Holopainen, ...
2009 Joint Urban Remote Sensing Event, 1-6, 2009
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