Matti Maltamo
Matti Maltamo
Professor of Forest Mensuration, University of Eastern Finland
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Cited by
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Review of methods of small‐footprint airborne laser scanning for extracting forest inventory data in boreal forests
J Hyyppä, H Hyyppä, D Leckie, F Gougeon, X Yu, M Maltamo
International Journal of Remote Sensing 29 (5), 1339-1366, 2008
Laser scanning of forest resources: the Nordic experience
E Næsset, T Gobakken, J Holmgren, H Hyyppä, J Hyyppä, M Maltamo, ...
Scandinavian Journal of Forest Research 19 (6), 482-499, 2004
Airborne discrete-return LIDAR data in the estimation of vertical canopy cover, angular canopy closure and leaf area index
L Korhonen, I Korpela, J Heiskanen, M Maltamo
Remote Sensing of Environment 115 (4), 1065-1080, 2011
Forest inventory: methodology and applications
A Kangas, M Maltamo
Springer Science & Business Media, 2006
Estimation of timber volume and stem density based on scanning laser altimetry and expected tree size distribution functions
M Maltamo, K Eerikäinen, J Pitkänen, J Hyyppä, M Vehmas
Remote sensing of environment 90 (3), 319-330, 2004
Comparative testing of single-tree detection algorithms under different types of forest
J Vauhkonen, L Ene, S Gupta, J Heinzel, J Holmgren, J Pitkänen, ...
Forestry 85 (1), 27-40, 2012
Forestry applications of airborne laser scanning
M Maltamo, E Næsset, J Vauhkonen
Concepts and case studies. Manag For Ecosys 27, 460, 2014
Automatic detection of harvested trees and determination of forest growth using airborne laser scanning
X Yu, J Hyyppä, H Kaartinen, M Maltamo
Remote sensing of Environment 90 (4), 451-462, 2004
The k-MSN method for the prediction of species-specific stand attributes using airborne laser scanning and aerial photographs
P Packalén, M Maltamo
Remote sensing of Environment 109 (3), 328-341, 2007
Tree species classification using airborne LiDAR–effects of stand and tree parameters, downsizing of training set, intensity normalization, and sensor type
I Korpela, HO Ørka, M Maltamo, T Tokola, J Hyyppä
Silva Fennica 44 (2), 319-339, 2010
The accuracy of estimating individual tree variables with airborne laser scanning in a boreal nature reserve
M Maltamo, K Mustonen, J Hyyppä, J Pitkänen, X Yu
Canadian Journal of Forest Research 34 (9), 1791-1801, 2004
Algorithms and methods of airborne laser scanning for forest measurements
J Hyyppa
Proceedings of the ISPRS working group VIII/2" Laser-scanners for forest and …, 2004
Identifying and quantifying structural characteristics of heterogeneous boreal forests using laser scanner data
M Maltamo, P Packalén, X Yu, K Eerikäinen, J Hyyppä, J Pitkänen
Forest ecology and management 216 (1-3), 41-50, 2005
Imputation of single-tree attributes using airborne laser scanning-based height, intensity, and alpha shape metrics
J Vauhkonen, I Korpela, M Maltamo, T Tokola
Remote Sensing of Environment 114 (6), 1263-1276, 2010
Estimation of stem volume using laser scanning-based canopy height metrics
M Maltamo, K Eerikäinen, P Packalén, J Hyyppä
Forestry 79 (2), 217-229, 2006
Adaptive methods for individual tree detection on airborne laser based canopy height model
J Pitkänen, M Maltamo, J Hyyppä, X Yu
International Archives of Photogrammetry, Remote Sensing and Spatial …, 2004
Nonparametric estimation of stem volume using airborne laser scanning, aerial photography, and stand-register data
M Maltamo, J Malinen, P Packalén, A Suvanto, J Kangas
Canadian Journal of Forest Research 36 (2), 426-436, 2006
Comparison of beta and weibull functions for modelling basal area diameter distribution in stands of pinus sylvestris and picea abies
M Maltamo, J Puumalainen, R Päivinen
Scandinavian Journal of Forest Research 10 (1-4), 284-295, 1995
Remote sensing and forest inventories in Nordic countries–roadmap for the future
A Kangas, R Astrup, J Breidenbach, J Fridman, T Gobakken, ...
Scandinavian Journal of Forest Research 33 (4), 397-412, 2018
Methods based on k-nearest neighbor regression in the prediction of basal area diameter distribution
M Maltamo, A Kangas
Canadian Journal of Forest Research 28 (8), 1107-1115, 1998
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