Fast automatic precision tree models from terrestrial laser scanner data P Raumonen, M Kaasalainen, M Åkerblom, S Kaasalainen, H Kaartinen, ... Remote Sensing 5 (2), 491-520, 2013 | 399 | 2013 |
Full waveform hyperspectral LiDAR for terrestrial laser scanning T Hakala, J Suomalainen, S Kaasalainen, Y Chen Optics express 20 (7), 7119-7127, 2012 | 242 | 2012 |
Analysis of incidence angle and distance effects on terrestrial laser scanner intensity: Search for correction methods S Kaasalainen, A Jaakkola, M Kaasalainen, A Krooks, A Kukko Remote Sensing 3 (10), 2207-2221, 2011 | 224 | 2011 |
Structure and star formation in disk galaxies-II. Optical imaging JH Knapen, S Stedman, DM Bramich, SL Folkes, TR Bradley Astronomy & Astrophysics 426 (3), 1135-1141, 2004 | 167* | 2004 |
Study of surface brightness from backscattered laser intensity: Calibration of laser data S Kaasalainen, E Ahokas, J Hyyppa, J Suomalainen IEEE Geoscience and Remote Sensing Letters 2 (3), 255-259, 2005 | 135 | 2005 |
BRDF measurement of understory vegetation in pine forests: dwarf shrubs, lichen, and moss JI Peltoniemi, S Kaasalainen, J Näränen, M Rautiainen, P Stenberg, ... Remote Sensing of Environment 94 (3), 343-354, 2005 | 134 | 2005 |
Radiometric calibration of terrestrial laser scanners with external reference targets S Kaasalainen, A Krooks, A Kukko, H Kaartinen Remote Sensing 1 (3), 144-158, 2009 | 127 | 2009 |
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 | 127 | 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 | 123 | 2008 |
Study of FK Comae Berenices-IV. Active longitudes and the “flip-flop” phenomenon H Korhonen, SV Berdyugina, I Tuominen Astronomy & Astrophysics 390 (1), 179-185, 2002 | 121* | 2002 |
Calibration of the Optech ALTM 3100 laser scanner intensity data using brightness targets E Ahokas, S Kaasalainen, J Hyyppä, J Suomalainen International Archives of Photogrammetry, Remote Sensing and Spatial …, 2006 | 117 | 2006 |
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 | 117 | 2005 |
Two-channel hyperspectral LiDAR with a supercontinuum laser source Y Chen, E Räikkönen, S Kaasalainen, J Suomalainen, T Hakala, ... Sensors 10 (7), 7057-7066, 2010 | 106 | 2010 |
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 | 90 | 2008 |
On the properties of contact binary stars S Csizmadia, P Klagyivik Astronomy & Astrophysics 426 (3), 1001-1005, 2004 | 90 | 2004 |
Toward hyperspectral lidar: Measurement of spectral backscatter intensity with a supercontinuum laser source S Kaasalainen, T Lindroos, J Hyyppa IEEE Geoscience and Remote Sensing Letters 4 (2), 211-215, 2007 | 80 | 2007 |
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 | 73 | 2014 |
Measurement of directional and spectral signatures of light reflectance by snow JI Peltoniemi, S Kaasalainen, J Naranen, L Matikainen, J Piironen IEEE Transactions on Geoscience and Remote Sensing 43 (10), 2294-2304, 2005 | 72 | 2005 |
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 | 69 | 2010 |
Fast and nondestructive method for leaf level chlorophyll estimation using hyperspectral LiDAR O Nevalainen, T Hakala, J Suomalainen, R Mäkipää, M Peltoniemi, ... Agricultural and Forest Meteorology 198, 250-258, 2014 | 64 | 2014 |