Ole Martin Bollandsås
Ole Martin Bollandsås
Researcher
Verified email at nmbu.no
Title
Cited by
Cited by
Year
Classifying species of individual trees by intensity and structure features derived from airborne laser scanner data
HO Ørka, E Næsset, OM Bollandsås
Remote Sensing of Environment 113 (6), 1163-1174, 2009
2632009
Comparing regression methods in estimation of biophysical properties of forest stands from two different inventories using laser scanner data
E Næsset, OM Bollandsås, T Gobakken
Remote sensing of environment 94 (4), 541-553, 2005
1802005
Allometric models for prediction of above-and belowground biomass of trees in the miombo woodlands of Tanzania
WA Mugasha, T Eid, OM Bollandsås, RE Malimbwi, SAO Chamshama, ...
Forest Ecology and Management 310, 87-101, 2013
1672013
Model-assisted estimation of change in forest biomass over an 11 year period in a sample survey supported by airborne LiDAR: A case study with post-stratification to provide …
E Næsset, OM Bollandsås, T Gobakken, TG Gregoire, G Ståhl
Remote Sensing of Environment 128, 299-314, 2013
1102013
Estimating biomass in Hedmark County, Norway using national forest inventory field plots and airborne laser scanning
T Gobakken, E Næsset, R Nelson, OM Bollandsås, TG Gregoire, G Ståhl, ...
Remote Sensing of Environment 123, 443-456, 2012
1022012
Comparison of precision of biomass estimates in regional field sample surveys and airborne LiDAR-assisted surveys in Hedmark County, Norway
E Næsset, T Gobakken, OM Bollandsås, TG Gregoire, R Nelson, G Ståhl
Remote Sensing of Environment 130, 108-120, 2013
942013
Comparing biophysical forest characteristics estimated from photogrammetric matching of aerial images and airborne laser scanning data
T Gobakken, OM Bollandsås, E Næsset
Scandinavian Journal of Forest Research 30 (1), 73-86, 2015
892015
Different plot selection strategies for field training data in ALS-assisted forest inventory
M Maltamo, OM Bollandsås, E Næsset, T Gobakken, P Packalén
Forestry 84 (1), 23-31, 2011
812011
Effects of different sensors and leaf-on and leaf-off canopy conditions on echo distributions and individual tree properties derived from airborne laser scanning
HO Ørka, E Næsset, OM Bollandsås
Remote Sensing of Environment 114 (7), 1445-1461, 2010
802010
Predicting the growth of stands of trees of mixed species and size: A matrix model for Norway
O Martin Bollandsås, J Buongiorno, T Gobakken
Scandinavian Journal of Forest Research 23 (2), 167-178, 2008
712008
Utilizing airborne laser intensity for tree species classification
HO Ørka, E Næsset, OM Bollandsås
International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2007
642007
Estimating percentile-based diameter distributions in uneven-sized Norway spruce stands using airborne laser scanner data
O Martin Bollandsås, E Næsset
Scandinavian Journal of Forest Research 22 (1), 33-47, 2007
592007
Non-parametric prediction of diameter distributions using airborne laser scanner data
M Maltamo, E Næsset, OM Bollandsås, T Gobakken, P Packalen
Scandinavian Journal of Forest Research 24 (6), 541-553, 2009
582009
Mapping and estimating forest area and aboveground biomass in miombo woodlands in Tanzania using data from airborne laser scanning, TanDEM-X, RapidEye, and global forest maps …
E Næsset, HO Ørka, S Solberg, OM Bollandsås, EH Hansen, E Mauya, ...
Remote Sensing of Environment 175, 282-300, 2016
572016
Modeling aboveground biomass in dense tropical submontane rainforest using airborne laser scanner data
EH Hansen, T Gobakken, OM Bollandsås, E Zahabu, E Næsset
Remote Sensing 7 (1), 788-807, 2015
542015
Detection of biomass change in a Norwegian mountain forest area using small footprint airborne laser scanner data
OM Bollandsås, TG Gregoire, E Næsset, BH Øyen
Statistical Methods & Applications 22 (1), 113-129, 2013
502013
Indirect and direct estimation of forest biomass change using forest inventory and airborne laser scanning data
RE McRoberts, E Næsset, T Gobakken, OM Bollandsås
Remote Sensing of Environment 164, 36-42, 2015
472015
Relationships between diameter and height of trees in natural tropical forest in Tanzania
WA Mugasha, OM Bollandsås, T Eid
Southern Forests: a Journal of Forest Science 75 (4), 221-237, 2013
472013
Effects of field plot size on prediction accuracy of aboveground biomass in airborne laser scanning-assisted inventories in tropical rain forests of Tanzania
EW Mauya, EH Hansen, T Gobakken, OM Bollandsås, RE Malimbwi, ...
Carbon balance and management 10 (1), 10, 2015
462015
Deriving forest monitoring variables from X-band InSAR SRTM height
S Solberg, R Astrup, OM Bollandsås, E Næsset, DJ Weydahl
Canadian Journal of Remote Sensing 36 (1), 68-79, 2010
462010
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