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Reliability of LiDAR derived predictors of forest inventory attributes: A case study with Norway spruce

Remote sensing of environment, 2010-04, Vol.114 (4), p.700-712

2010

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The uncertainty of biomass estimates from LiDAR and SAR across a boreal forest structure gradient

Remote sensing of environment, 2014-11, Vol.154, p.398-407

2014

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Prediction of stem diameter and biomass at individual tree crown level with advanced machine learning techniques

IForest (Viterbo), 2019-06, Vol.12 (3), p.323-329

2019

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Lidar sampling — Using an airborne profiler to estimate forest biomass in Hedmark County, Norway

Remote sensing of environment, 2012-08, Vol.123, p.563-578

2012

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Different plot selection strategies for field training data in ALS-assisted forest inventory

Forestry (London), 2011-01, Vol.84 (1), p.23-31

2011

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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

Journal of archaeological science, 2012-08, Vol.39 (8), p.2733-2743

2012

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The Importance of Consistent Global Forest Aboveground Biomass Product Validation

Surveys in geophysics, 2019, Vol.40 (4), p.979-999

2019

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LiDAR-supported estimation of change in forest biomass with time-invariant regression models

Canadian journal of forest research, 2015-11, Vol.45 (11), p.1514-1523

2015

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Large-scale prediction of aboveground biomass in heterogeneous mountain forests by means of airborne laser scanning

Canadian journal of forest research, 2016-09, Vol.46 (9), p.1138-1144

2016

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Estimating timber volume of forest stands using airborne laser scanner data

Remote sensing of environment, 1997-08, Vol.61 (2), p.246-253

NAESSET, E

1997

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Comparing different methods for prediction of mean crown height in Norway spruce stands using airborne laser scanner data

Forestry (London), 2010-07, Vol.83 (3), p.257-268

2010

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Comparative testing of single-tree detection algorithms under different types of forest

Forestry (London), 2012-01, Vol.85 (1), p.27-40

2012

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fine-scale model for area-based predictions of tree-size-related attributes derived from LiDAR canopy heights

Scandinavian journal of forest research, 2012-04, Vol.27 (3), p.312-322

2012

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A functional regression model for inventories supported by aerial laser scanner data or photogrammetric point clouds

Remote sensing of environment, 2016-10, Vol.184, p.496-505

2016

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A practical measure for determining if diameter (D) and height (H) should be combined into D2H in allometric biomass models

Forestry (London), 2019-12, Vol.92 (5), p.627-634

2019

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Efficient multiresolution spatial predictions for large data arrays

Remote sensing of environment, 2007-08, Vol.109 (4), p.451-463

2007

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Estimation of above- and below-ground biomass across regions of the boreal forest zone using airborne laser

Remote sensing of environment, 2008-06, Vol.112 (6), p.3079-3090

2008

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Predicting forest stand characteristics with airborne scanning laser using a practical two-stage procedure and field data

Remote sensing of environment, 2002-04, Vol.80 (1), p.88-99

NAESSET, Erik

2002

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Practical large-scale forest stand inventory using a small-footprint airborne scanning laser

Scandinavian journal of forest research, 2004-04, Vol.19 (2), p.164-179

Naesset, E

2004

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Airborne laser scanning as a method in operational forest inventory: Status of accuracy assessments accomplished in Scandinavia

Scandinavian journal of forest research, 2007-10, Vol.22 (5), p.433-442

Naesset, E

2007

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Using pre-classification to improve the accuracy of species-specific forest attribute estimates from airborne laser scanner data and aerial images

Scandinavian journal of forest research, 2015-05, Vol.30 (4), p.336-345

2015

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Assessing effects of laser point density, ground sampling intensity, and field sample plot size on biophysical stand properties derived from airborne laser scanner data

Canadian journal of forest research, 2008-05, Vol.38 (5), p.1095-1109

2008

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A poststratified ratio estimator for model-assisted biomass estimation in sample-based airborne laser scanning surveys

Canadian journal of forest research, 2016-11, Vol.46 (11), p.1386-1395

2016

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Classifying species of individual trees by intensity and structure features derived from airborne laser scanner data

Remote sensing of environment, 2009-06, Vol.113 (6), p.1163-1174

2009

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Assessing sensor effects and effects of leaf-off and leaf-on canopy conditions on biophysical stand properties derived from small-footprint airborne laser data

Remote sensing of environment, 2005-10, Vol.98 (2), p.356-370

NAESSET, Erik

2005

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Reliability of LiDAR derived predictors of forest inventory attributes: A case study with Norway spruce

The uncertainty of biomass estimates from LiDAR and SAR across a boreal forest structure gradient

Prediction of stem diameter and biomass at individual tree crown level with advanced machine learning techniques

Lidar sampling — Using an airborne profiler to estimate forest biomass in Hedmark County, Norway

Different plot selection strategies for field training data in ALS-assisted forest inventory

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

The Importance of Consistent Global Forest Aboveground Biomass Product Validation

LiDAR-supported estimation of change in forest biomass with time-invariant regression models

Large-scale prediction of aboveground biomass in heterogeneous mountain forests by means of airborne laser scanning

Estimating timber volume of forest stands using airborne laser scanner data

Comparing different methods for prediction of mean crown height in Norway spruce stands using airborne laser scanner data

Comparative testing of single-tree detection algorithms under different types of forest

fine-scale model for area-based predictions of tree-size-related attributes derived from LiDAR canopy heights

A functional regression model for inventories supported by aerial laser scanner data or photogrammetric point clouds

A practical measure for determining if diameter (D) and height (H) should be combined into D2H in allometric biomass models

Efficient multiresolution spatial predictions for large data arrays

Estimation of above- and below-ground biomass across regions of the boreal forest zone using airborne laser

Predicting forest stand characteristics with airborne scanning laser using a practical two-stage procedure and field data

Practical large-scale forest stand inventory using a small-footprint airborne scanning laser

Airborne laser scanning as a method in operational forest inventory: Status of accuracy assessments accomplished in Scandinavia

Using pre-classification to improve the accuracy of species-specific forest attribute estimates from airborne laser scanner data and aerial images

Assessing effects of laser point density, ground sampling intensity, and field sample plot size on biophysical stand properties derived from airborne laser scanner data

A poststratified ratio estimator for model-assisted biomass estimation in sample-based airborne laser scanning surveys

Classifying species of individual trees by intensity and structure features derived from airborne laser scanner data

Assessing sensor effects and effects of leaf-off and leaf-on canopy conditions on biophysical stand properties derived from small-footprint airborne laser data

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