Liviu T. Ene
Liviu T. Ene
Skogforsk, Sweden
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Cited by
Cited by
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
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
Single tree detection in heterogeneous boreal forests using airborne laser scanning and area-based stem number estimates
L Ene, E Næsset, T Gobakken
International Journal of Remote Sensing 33 (16), 5171-5193, 2012
Modelling tree diameter from airborne laser scanning derived variables: A comparison of spatial statistical models
C Salas, L Ene, TG Gregoire, E Næsset, T Gobakken
Remote Sensing of Environment 114 (6), 1277-1285, 2010
Assessing the accuracy of regional LiDAR-based biomass estimation using a simulation approach
LT Ene, E Næsset, T Gobakken, TG Gregoire, G Ståhl, R Nelson
Remote Sensing of Environment 123, 579-592, 2012
Use of partial-coverage UAV data in sampling for large scale forest inventories
S Puliti, LT Ene, T Gobakken, E Næsset
Remote Sensing of Environment 194, 115-126, 2017
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
Efficient sampling strategies for forest inventories by spreading the sample in auxiliary space
A Grafström, S Saarela, LT Ene
Canadian Journal of Forest Research 44 (10), 1156-1164, 2014
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
Statistical rigor in LiDAR-assisted estimation of aboveground forest biomass
TG Gregoire, E Næsset, RE McRoberts, G Ståhl, HE Andersen, ...
Remote Sensing of Environment 173, 98-108, 2016
Semi-supervised SVM for individual tree crown species classification
M Dalponte, LT Ene, M Marconcini, T Gobakken, E Næsset
ISPRS Journal of Photogrammetry and Remote Sensing 110, 77-87, 2015
A simulation approach for accuracy assessment of two-phase post-stratified estimation in large-area LiDAR biomass surveys
LT Ene, E Næsset, T Gobakken, TG Gregoire, G Ståhl, S Holm
Remote Sensing of Environment 133, 210-224, 2013
Large-scale estimation of change in aboveground biomass in miombo woodlands using airborne laser scanning and national forest inventory data
LT Ene, E Næsset, T Gobakken, OM Bollandsås, EW Mauya, E Zahabu
Remote Sensing of Environment 188, 106-117, 2017
Using airborne small-footprint laser scanner data for detection of cultural remains in forests: an experimental study of the effects of pulse density and DTM smoothing
OM Bollandsås, O Risbøl, LT Ene, A Nesbakken, T Gobakken, E Næsset
Journal of Archaeological Science 39 (8), 2733-2743, 2012
Estimating single-tree crown biomass of Norway spruce by airborne laser scanning: A comparison of methods with and without the use of terrestrial laser scanning to obtain the …
M Hauglin, T Gobakken, R Astrup, L Ene, E Næsset
Forests 5 (3), 384-403, 2014
Large-scale estimation of aboveground biomass in miombo woodlands using airborne laser scanning and national forest inventory data
LT Ene, E Næsset, T Gobakken, EW Mauya, OM Bollandsås, TG Gregoire, ...
Remote Sensing of Environment 186, 626-636, 2016
Modelling aboveground forest biomass using airborne laser scanner data in the miombo woodlands of Tanzania
EW Mauya, LT Ene, OM Bollandsås, T Gobakken, E Næsset, ...
Carbon balance and management 10 (1), 1-16, 2015
Large-area hybrid estimation of aboveground biomass in interior Alaska using airborne laser scanning data
LT Ene, T Gobakken, HE Andersen, E Næsset, BD Cook, DC Morton, ...
Remote Sensing of Environment 204, 741-755, 2018
Geostatistical estimation of forest biomass in interior Alaska combining Landsat-derived tree cover, sampled airborne lidar and field observations
C Babcock, AO Finley, HE Andersen, R Pattison, BD Cook, DC Morton, ...
Remote Sensing of Environment 212, 212-230, 2018
Predicting selected forest stand characteristics with multispectral ALS data
M Dalponte, LT Ene, T Gobakken, E Næsset, D Gianelle
Remote Sensing 10 (4), 586, 2018
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