Combining airborne laser scanning data and optical satellite data for classification of alpine vegetation H Reese, M Nyström, K Nordkvist, H Olsson International Journal of Applied Earth Observation and Geoinformation 27, 81-90, 2014 | 70 | 2014 |
Evaluation of terrestrial laser scanners for measuring vegetation structure G Newnham, J Armston, J Muir, N Goodwin, D Tindall, D Culvenor, ... Australia: CSIRO, 2012 | 67 | 2012 |
Detection of windthrown trees using airborne laser scanning M Nyström, J Holmgren, JES Fransson, H Olsson International Journal of Applied Earth Observation and Geoinformation 30, 21-29, 2014 | 65 | 2014 |
Prediction of tree biomass in the forest–tundra ecotone using airborne laser scanning M Nyström, J Holmgren, H Olsson Remote sensing of environment 123, 271-279, 2012 | 61 | 2012 |
Data assimilation in forest inventory: first empirical results M Nyström, N Lindgren, J Wallerman, A Grafström, A Muszta, K Nyström, ... Forests 6 (12), 4540-4557, 2015 | 41 | 2015 |
Change detection of mountain birch using multi-temporal ALS point clouds M Nyström, J Holmgren, H Olsson Remote Sensing Letters 4 (2), 190-199, 2013 | 30 | 2013 |
Estimating vertical canopy cover using dense image-based point cloud data in four vegetation types in southern Sweden AH Granholm, N Lindgren, K Olofsson, M Nyström, A Allard, H Olsson International Journal of Remote Sensing 38 (7), 1820-1838, 2017 | 25 | 2017 |
Estimation of tree position and stem diameter using simultaneous localization and mapping with data from a backpack-mounted laser scanner J Holmgren, HM Tulldahl, J Nordlöf, M Nyström, K Olofsson, J Rydell, ... The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2017 | 20 | 2017 |
Assessing error correlations in remote sensing-based estimates of forest attributes for improved composite estimation S Ehlers, S Saarela, N Lindgren, E Lindberg, M Nyström, HJ Persson, ... Remote Sensing 10 (5), 667, 2018 | 18 | 2018 |
Combining point clouds from image matching with SPOT 5 multispectral data for mountain vegetation classification H Reese, K Nordkvist, M Nyström, J Bohlin, H Olsson International Journal of Remote Sensing 36 (2), 403-416, 2015 | 17 | 2015 |
Improved prediction of forest variables using data assimilation of interferometric synthetic aperture radar data N Lindgren, HJ Persson, M Nyström, K Nyström, A Grafström, A Muszta, ... Canadian Journal of Remote Sensing 43 (4), 374-383, 2017 | 16 | 2017 |
Data assimilation of growing stock volume using a sequence of remote sensing data from different sensors N Lindgren, H Olsson, K Nyström, M Nyström, G Ståhl Canadian Journal of Remote Sensing 48 (2), 127-143, 2022 | 10 | 2022 |
Mapping and monitoring of vegetation using airborne laser scanning M Nyström Department of Forest Resource Management, Swedish University of Agricultural …, 2014 | 5 | 2014 |
Non-parametric point classification for phase-shift laser scanning G Newnham, J Mashford, P Püschel, J Armston, D Culvenor, A Siggins, ... Proceedings of the SilviLaser, 2012 | 4 | 2012 |
Change detection of mountain vegetation using multi-temporal ALS point clouds. M Nyström, J Holmgren, H Olsson | 4 | 2011 |
Vegetation classification in the Swedish sub-arctic using a combination of optical satellite images and airborne laser scanner data K Nordkvist, M Nyström, H Reese, J Holmgren, H Olsson Proceedings of the SilviLaser Conference, Hobart, Australia, 2011 | 3 | 2011 |
The potential of airborne laser scanning for monitoring the subalpine birch forest ecotone M Nyström, J Holmgren, H Olsson | 2 | 2010 |
Assessing error correlations in remote sensing-based predictions of forest attributes for improved data assimilation S Ehlers, S Saarela, N Lindgren, E Lindberg, M Nyström, A Grafström, ... | 1 | 2017 |
Markbaserad laserskanning K Olofsson, J Holmgren, E Lindberg, M Nyström, H Olsson Fakta. Skog, 2017 | 1 | 2017 |
Markbaserad laserskanning-ger stammars form och läge K Olofsson, J Holmgren, E Lindberg, M Nyström, H Olsson | 1 | 2017 |