Hans Ole Ørka
Hans Ole Ørka
Verifisert e-postadresse på umb.no - Startside
Sitert av
Sitert av
Lidar sampling for large-area forest characterization: A review
MA Wulder, JC White, RF Nelson, E Næsset, HO Ørka, NC Coops, ...
Remote Sensing of Environment 121, 196-209, 2012
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
Tree species classification in boreal forests with hyperspectral data
M Dalponte, HO Ørka, T Gobakken, D Gianelle, E Næsset
IEEE Transactions on Geoscience and Remote Sensing 51 (5), 2632-2645, 2012
Inventory of small forest areas using an unmanned aerial system
S Puliti, HO Ørka, T Gobakken, E Næsset
Remote Sensing 7 (8), 9632-9654, 2015
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
Tree crown delineation and tree species classification in boreal forests using hyperspectral and ALS data
M Dalponte, HO Ørka, LT Ene, T Gobakken, E Næsset
Remote sensing of environment 140, 306-317, 2014
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
Range and AGC normalization in airborne discrete-return LiDAR intensity data for forest canopies
I Korpela, HO Ørka, J Hyyppä, V Heikkinen, T Tokola
ISPRS Journal of Photogrammetry and Remote Sensing 65 (4), 369-379, 2010
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
Biomass estimation using 3D data from unmanned aerial vehicle imagery in a tropical woodland
DJ Kachamba, HO Ørka, T Gobakken, T Eid, W Mwase
Remote Sensing 8 (11), 968, 2016
Utilizing airborne laser intensity for tree species classification
HO Ørka, E Næsset, OM Bollandsås
International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2007
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
Assessing 3D point clouds from aerial photographs for species-specific forest inventories
S Puliti, T Gobakken, HO Ørka, E Næsset
Scandinavian journal of forest research 32 (1), 68-79, 2017
Simultaneously acquired airborne laser scanning and multispectral imagery for individual tree species identification
HO Ørka, T Gobakken, E Næsset, L Ene, V Lien
Canadian Journal of Remote Sensing 38 (2), 125-138, 2012
Characterizing forest species composition using multiple remote sensing data sources and inventory approaches
HO Ørka, M Dalponte, T Gobakken, E Næsset, LT Ene
Scandinavian Journal of Forest Research 28 (7), 677-688, 2013
Interpreting cultural remains in airborne laser scanning generated digital terrain models: effects of size and shape on detection success rates
O Risbøl, OM Bollandsås, A Nesbakken, HO Ørka, E Næsset, T Gobakken
Journal of Archaeological Science 40 (12), 4688-4700, 2013
Tree species recognition based on airborne laser scanning and complementary data sources
J Vauhkonen, HO Ørka, J Holmgren, M Dalponte, J Heinzel, B Koch
Forestry applications of airborne laser scanning, 135-156, 2014
Assessing forest inventory information obtained from different inventory approaches and remote sensing data sources
E Bergseng, HO Ørka, E Næsset, T Gobakken
Annals of forest science 72 (1), 33-45, 2015
Predicting stem diameters and aboveground biomass of individual trees using remote sensing data
M Dalponte, L Frizzera, HO Ørka, T Gobakken, E Næsset, D Gianelle
Ecological Indicators 85, 367-376, 2018
Individual tree crown approach for predicting site index in boreal forests using airborne laser scanning and hyperspectral data
K Kandare, HO Ørka, M Dalponte, E Næsset, T Gobakken
International journal of applied earth observation and geoinformation 60, 72-82, 2017
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