| 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 | 785 | 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 | 635 | 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 | 454 | 2011 |
| Forest inventory: methodology and applications A Kangas, M Maltamo Springer Science & Business Media, 2006 | 433 | 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 | 423 | 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 | 419 | 2012 |
| Forestry applications of airborne laser scanning M Maltamo, E Næsset, J Vauhkonen Concepts and case studies. Manag For Ecosys 27, 460, 2014 | 409 | 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 | 399 | 2004 |
| 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 | 308 | 2010 |
| 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 | 307 | 2007 |
| 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 | 274 | 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 | 251 | 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 | 244 | 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 | 239 | 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 | 212 | 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 | 206 | 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 | 202 | 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 | 192 | 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 | 189 | 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 | 173 | 1998 |
