Eetu Puttonen
Eetu Puttonen
Finnish Geospatial Research Institute - FGI, National Land Survey of Finland
Overená e-mailová adresa na:
Citované v
Citované v
Individual tree biomass estimation using terrestrial laser scanning
V Kankare, M Holopainen, M Vastaranta, E Puttonen, X Yu, J Hyyppä, ...
ISPRS Journal of Photogrammetry and Remote Sensing 75, 64-75, 2013
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
Object classification and recognition from mobile laser scanning point clouds in a road environment
M Lehtomäki, A Jaakkola, J Hyyppä, J Lampinen, H Kaartinen, A Kukko, ...
IEEE Transactions on Geoscience and Remote Sensing 54 (2), 1226-1239, 2015
Change detection of tree biomass with terrestrial laser scanning and quantitative structure modelling
S Kaasalainen, A Krooks, J Liski, P Raumonen, H Kaartinen, ...
Remote Sensing 6 (5), 3906-3922, 2014
Polarised bidirectional reflectance factor measurements from soil, stones, and snow
J Peltoniemi, T Hakala, J Suomalainen, E Puttonen
Journal of Quantitative Spectroscopy and Radiative Transfer 110 (17), 1940-1953, 2009
Comparison of two-dimensional multitemporal Sentinel-2 data with three-dimensional remote sensing data sources for forest inventory parameter estimation over a boreal forest
S Wittke, X Yu, M Karjalainen, J Hyyppä, E Puttonen
International Journal of Applied Earth Observation and Geoinformation 76 …, 2019
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
Polarised multiangular reflectance measurements using the finnish geodetic institute field goniospectrometer
J Suomalainen, T Hakala, J Peltoniemi, E Puttonen
Sensors 9 (05), 3891-3907, 2009
Tree classification with fused mobile laser scanning and hyperspectral data
E Puttonen, A Jaakkola, P Litkey, J Hyyppä
Sensors 11, 5158-5182, 2011
Morphological plant modeling: unleashing geometric and topological potential within the plant sciences
A Bucksch, A Atta-Boateng, AF Azihou, D Battogtokh, A Baumgartner, ...
Frontiers in plant science 8, 900, 2017
Individual tree species classification by illuminated—Shaded area separation
E Puttonen, P Litkey, J Hyyppä
Remote Sensing 2 (1), 19-35, 2009
Measurement of reflectance properties of asphalt surfaces and their usability as reference targets for aerial photos
E Puttonen, J Suomalainen, T Hakala, J Peltoniemi
IEEE Transactions on Geoscience and Remote Sensing 47 (7), 2330-2339, 2009
Polarised bidirectional reflectance factor measurements from vegetated land surfaces
J Suomalainen, T Hakala, E Puttonen, J Peltoniemi
Journal of Quantitative Spectroscopy and Radiative Transfer 110 (12), 1044-1056, 2009
A 10-nm spectral resolution hyperspectral LiDAR system based on an acousto-optic tunable filter
Y Chen, W Li, J Hyyppä, N Wang, C Jiang, F Meng, L Tang, E Puttonen, ...
Sensors 19 (7), 1620, 2019
Quantification of Overnight Movement of Birch (Betula pendula) Branches and Foliage with Short Interval Terrestrial Laser Scanning
E Puttonen, C Briese, G Mandlburger, M Wieser, M Pfennigbauer, ...
Frontiers in plant science 7, 222, 2016
Improved sampling for terrestrial and mobile laser scanner point cloud data
E Puttonen, M Lehtomäki, H Kaartinen, L Zhu, A Kukko, A Jaakkola
Remote Sensing 5 (4), 1754-1773, 2013
Automatic and self-adaptive stem reconstruction in landslide-affected forests
D Wang, M Hollaus, E Puttonen, N Pfeifer
Remote Sensing 8 (12), 974, 2016
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
Feasibility study of ore classification using active hyperspectral LiDAR
Y Chen, C Jiang, J Hyyppä, S Qiu, Z Wang, M Tian, W Li, E Puttonen, ...
IEEE Geoscience and Remote Sensing Letters 15 (11), 1785-1789, 2018
A long-term terrestrial laser scanning measurement station to continuously monitor structural and phenological dynamics of boreal forest canopy
MB Campos, P Litkey, Y Wang, Y Chen, H Hyyti, J Hyyppä, E Puttonen
Frontiers in Plant Science 11, 606752, 2021
Systém momentálne nemôže vykonať operáciu. Skúste to neskôr.
Články 1–20