Erik Nightingale Næsset
#118,485
Most Influential Person Now
Erik Nightingale Næsset's AcademicInfluence.com Rankings
Erik Nightingale Næssetphilosophy Degrees
Philosophy
#5264
World Rank
#8021
Historical Rank
Logic
#2573
World Rank
#3585
Historical Rank
Download Badge
Philosophy Mathematics
Erik Nightingale Næsset's Degrees
- PhD Forest Sciences Norwegian University of Life Sciences
- Masters Forest Sciences Norwegian University of Life Sciences
- Bachelors Forest Sciences Norwegian University of Life Sciences
Why Is Erik Nightingale Næsset Influential?
(Suggest an Edit or Addition)Erik Nightingale Næsset's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Predicting forest stand characteristics with airborne scanning laser using a practical two-stage procedure and field data (2002) (1345)
- Determination of mean tree height of forest stands using airborne laser scanner data (1997) (640)
- Lidar sampling for large-area forest characterization: A review (2012) (582)
- Estimating timber volume of forest stands using airborne laser scanner data (1997) (574)
- Practical large-scale forest stand inventory using a small-footprint airborne scanning laser (2004) (547)
- Laser scanning of forest resources: the nordic experience (2004) (508)
- Estimating tree height and tree crown properties using airborne scanning laser in a boreal nature reserve (2002) (447)
- An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning (2012) (424)
- Estimating tree heights and number of stems in young forest stands using airborne laser scanner data (2001) (345)
- Estimation of above- and below-ground biomass across regions of the boreal forest zone using airborne laser (2008) (343)
- Comparative testing of single-tree detection algorithms under different types of forest (2011) (331)
- Inventory of Small Forest Areas Using an Unmanned Aerial System (2015) (284)
- Airborne laser scanning as a method in operational forest inventory: Status of accuracy assessments accomplished in Scandinavia (2007) (279)
- Tree Species Classification in Boreal Forests With Hyperspectral Data (2013) (274)
- Single Tree Segmentation Using Airborne Laser Scanner Data in a Structurally Heterogeneous Spruce Forest (2006) (265)
- Classifying species of individual trees by intensity and structure features derived from airborne laser scanner data (2009) (255)
- Prediction of species specific forest inventory attributes using a nonparametric semi-individual tree crown approach based on fused airborne laser scanning and multispectral data (2010) (252)
- Tree crown delineation and tree species classification in boreal forests using hyperspectral and ALS data (2014) (242)
- Accuracy of forest inventory using airborne laser scanning: evaluating the first nordic full-scale operational project (2004) (242)
- Mapping defoliation during a severe insect attack on Scots pine using airborne laser scanning (2006) (238)
- Effects of different sensors, flying altitudes, and pulse repetition frequencies on forest canopy metrics and biophysical stand properties derived from small-footprint airborne laser data (2009) (236)
- Forestry applications of airborne laser scanning : concepts and case studies (2014) (206)
- Assessing effects of laser point density, ground sampling intensity, and field sample plot size on biophysical stand properties derived from airborne laser scanner data (2008) (199)
- Estimating forest growth using canopy metrics derived from airborne laser scanner data (2005) (198)
- Forestry Applications of Airborne Laser Scanning (2014) (185)
- Comparing regression methods in estimation of biophysical properties of forest stands from two different inventories using laser scanner data (2005) (174)
- Mapping LAI in a Norway spruce forest using airborne laser scanning (2009) (173)
- Effects of different flying altitudes on biophysical stand properties estimated from canopy height and density measured with a small-footprint airborne scanning laser (2004) (169)
- Model-based inference for biomass estimation in a LiDAR sample survey in Hedmark County, Norway (2011) (163)
- Advances and emerging issues in national forest inventories (2010) (157)
- Comparing stand inventories for large areas based on photo-interpretation and laser scanning by means of cost-plus-loss analyses (2004) (156)
- Inference for lidar-assisted estimation of forest growing stock volume (2013) (156)
- Estimation of diameter and basal area distributions in coniferous forest by means of airborne laser scanner data (2004) (155)
- Model-assisted regional forest biomass estimation using LiDAR and InSAR as auxiliary data: A case study from a boreal forest area (2011) (149)
- Model-assisted estimation of biomass in a LiDAR sample survey in Hedmark County, NorwayThis article is one of a selection of papers from Extending Forest Inventory and Monitoring over Space and Time. (2011) (149)
- Assessing effects of positioning errors and sample plot size on biophysical stand properties derived from airborne laser scanner data. (2009) (140)
- Decomposition rate constants of Picea abies logs in southeastern Norway (1999) (134)
- Using remotely sensed data to construct and assess forest attribute maps and related spatial products (2010) (130)
- Area-Based Inventory in Norway – From Innovation to an Operational Reality (2014) (125)
- Assessing sensor effects and effects of leaf-off and leaf-on canopy conditions on biophysical stand properties derived from small-footprint airborne laser data (2005) (121)
- Comparison of four types of 3D data for timber volume estimation (2014) (120)
- 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 “activity data” (2013) (117)
- Use of models in large-area forest surveys: comparing model-assisted, model-based and hybrid estimation (2016) (114)
- Combining UAV and Sentinel-2 auxiliary data for forest growing stock volume estimation through hierarchical model-based inference (2018) (113)
- Estimating biomass in Hedmark County, Norway using national forest inventory field plots and airborne laser scanning (2012) (111)
- Remote sensing and forest inventories in Nordic countries – roadmap for the future (2018) (110)
- Estimating spruce and pine biomass with interferometric X-band SAR (2010) (109)
- Comparing biophysical forest characteristics estimated from photogrammetric matching of aerial images and airborne laser scanning data (2015) (107)
- Single tree detection in heterogeneous boreal forests using airborne laser scanning and area-based stem number estimates (2012) (99)
- Comparison of precision of biomass estimates in regional field sample surveys and airborne LiDAR-assisted surveys in Hedmark County, Norway (2013) (97)
- Different plot selection strategies for field training data in ALS-assisted forest (2010) (93)
- Determination of Mean Tree Height of Forest Stands by Digital Photogrammetry (2002) (92)
- Weibull and percentile models for lidar-based estimation of basal area distribution (2005) (90)
- Taking stock of circumboreal forest carbon with ground measurements, airborne and spaceborne LiDAR (2013) (90)
- Modelling tree diameter from airborne laser scanning derived variables: A comparison of spatial statistical models (2010) (89)
- Introduction to Forestry Applications of Airborne Laser Scanning (2014) (89)
- Assessing the accuracy of regional LiDAR-based biomass estimation using a simulation approach (2012) (86)
- Estimating Quebec provincial forest resources using ICESat/GLAS (2009) (85)
- Assessing 3D point clouds from aerial photographs for species-specific forest inventories (2017) (82)
- Effects of different sensors and leaf-on and leaf-off canopy conditions on echo distributions and individual tree properties derived from airborne laser scanning (2010) (81)
- The Importance of Consistent Global Forest Aboveground Biomass Product Validation (2019) (81)
- Reliability of LiDAR derived predictors of forest inventory attributes: A case study with Norway spruce (2010) (80)
- 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: A comparison of estimated precision (2016) (77)
- A new approach with DTM-independent metrics for forest growing stock prediction using UAV photogrammetric data (2018) (77)
- Modeling Aboveground Biomass in Dense Tropical Submontane Rainforest Using Airborne Laser Scanner Data (2015) (76)
- Generic methodologies applicable to multiple land-use categories (2019) (75)
- Effects of Differential Single- and Dual-Frequency GPS and GLONASS Observations on Point Accuracy under Forest Canopies (2001) (73)
- Characterizing forest species composition using multiple remote sensing data sources and inventory approaches (2013) (72)
- Estimating above-ground biomass in young forests with airborne laser scanning (2011) (72)
- Effects of field plot size on prediction accuracy of aboveground biomass in airborne laser scanning-assisted inventories in tropical rain forests of Tanzania (2015) (72)
- Using airborne laser scanning to monitor tree migration in the boreal–alpine transition zone (2007) (72)
- The Role and Need for Space-Based Forest Biomass-Related Measurements in Environmental Management and Policy (2019) (71)
- Post-stratified estimation of forest area and growing stock volume using lidar-based stratifications (2012) (69)
- Large-scale estimation of change in aboveground biomass in miombo woodlands using airborne laser scanning and national forest inventory data (2016) (69)
- Simultaneously acquired airborne laser scanning and multispectral imagery for individual tree species identification (2012) (68)
- Point accuracy of combined pseudorange and carrier phase differential GPS under forest canopy (1999) (67)
- Estimating percentile-based diameter distributions in uneven-sized Norway spruce stands using airborne laser scanner data (2007) (67)
- Statistical rigor in LiDAR-assisted estimation of aboveground forest biomass (2016) (67)
- Detection of biomass change in a Norwegian mountain forest area using small footprint airborne laser scanner data (2013) (66)
- Use of partial-coverage UAV data in sampling for large scale forest inventories (2017) (66)
- Relationship Between Relative Wood Density of Picea abies Logs and Simple Classification Systems of Decayed Coarse Woody Debris (1999) (62)
- Non-parametric prediction of diameter distributions using airborne laser scanner data (2009) (62)
- Indirect and direct estimation of forest biomass change using forest inventory and airborne laser scanning data (2015) (61)
- Using LiDAR and quickbird data to model plant production and quantify uncertainties associated with wetland detection and land cover generalizations (2009) (59)
- Interpreting cultural remains in airborne laser scanning generated digital terrain models: effects of size and shape on detection success rates (2013) (58)
- Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission (2022) (57)
- Hierarchical model-based inference for forest inventory utilizing three sources of information (2016) (56)
- How important are choice of model selection method and spatial autocorrelation of presence data for distribution modelling by MaxEnt (2016) (56)
- A spatial decision support system for long‐term forest management planning by means of linear programming and a geographical information system (1997) (56)
- Forest biomass change estimated from height change in interferometric SAR height models (2014) (55)
- UTILIZING AIRBORNE LASER INTENSITY FOR TREE SPECIES CLASSIFICATION (2007) (55)
- The effects of field plot size on model-assisted estimation of aboveground biomass change using multitemporal interferometric SAR and airborne laser scanning data (2015) (55)
- Geographical information systems in long-term forest management and planning with special reference to preservation of biological diversity: a review (1997) (54)
- Optimizing the k-Nearest Neighbors technique for estimating forest aboveground biomass using airborne laser scanning data (2015) (52)
- Use of the Weighted Kappa Coefficient in Classification Error Assessment of Thematic Maps (1996) (51)
- Mapping and estimating the total living biomass and carbon in low-biomass woodlands using Landsat 8 CDR data (2016) (51)
- The uncertainty of biomass estimates from LiDAR and SAR across a boreal forest structure gradient (2014) (51)
- Semi-supervised SVM for individual tree crown species classification (2015) (50)
- A simulation approach for accuracy assessment of two-phase post-stratified estimation in large-area LiDAR biomass surveys (2013) (50)
- Contributions of differential GPS and GLONASS observations to point accuracy under forest canopies (2000) (49)
- Estimating single-tree branch biomass of Norway spruce with terrestrial laser scanning using voxel-based and crown dimension features (2013) (48)
- The effects of imperfect reference data on remote sensing-assisted estimators of land cover class proportions (2018) (47)
- ESTIMATION OF ABOVE-AND BELOW-GROUND BIOMASS IN BOREAL FOREST ECOSYSTEMS (2004) (46)
- Determination of stand volume in practical forest inventories based on field measurements and photo‐interpretation: The Norwegian experience (1998) (46)
- Predicting stem diameters and aboveground biomass of individual trees using remote sensing data (2018) (46)
- Deriving forest monitoring variables from X-band InSAR SRTM height (2010) (45)
- Laser-assisted selection of field plots for an area-based forest inventory (2013) (44)
- Assessing forest inventory information obtained from different inventory approaches and remote sensing data sources (2014) (44)
- Geo-referencing forest field plots by co-registration of terrestrial and airborne laser scanning data (2014) (44)
- Lidar sampling — Using an airborne profiler to estimate forest biomass in Hedmark County, Norway (2012) (43)
- REMOTE SENSING OF FOREST HEALTH (42)
- Cost-Sensitive Active Learning With Lookahead: Optimizing Field Surveys for Remote Sensing Data Classification (2014) (42)
- Tree species classification in Norway from airborne hyperspectral and airborne laser scanning data (2018) (42)
- Generalized Hierarchical Model-Based Estimation for Aboveground Biomass Assessment Using GEDI and Landsat Data (2018) (41)
- Comparing the accuracies of forest attributes predicted from airborne laser scanning and digital aerial photogrammetry in operational forest inventories (2019) (41)
- Estimating Forest Volume and Biomass and Their Changes Using Random Forests and Remotely Sensed Data (2019) (40)
- Sampling and Mapping Forest Volume and Biomass Using Airborne LIDARs (2009) (40)
- Value of airborne laser scanning and digital aerial (2018) (39)
- Comparing different methods for prediction of mean crown height in Norway spruce stands using airborne laser scanner data (2010) (39)
- Digital aerial photogrammetry can efficiently support large-area forest inventories in Norway (2017) (39)
- 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 Ground Reference Data (2014) (39)
- 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 (2012) (39)
- A fine-scale model for area-based predictions of tree-size-related attributes derived from LiDAR canopy heights (2012) (39)
- Model-assisted forest inventory with parametric, semiparametric, and nonparametric models (2016) (38)
- Effects of Pulse Density on Digital Terrain Models and Canopy Metrics Using Airborne Laser Scanning in a Tropical Rainforest (2015) (38)
- Detection of small single trees in the forest–tundra ecotone using height values from airborne laser scanning (2011) (37)
- Improving k-nearest neighbor predictions in forest inventories by combining high and low density airborne laser scanning data (2012) (37)
- Assessing components of the model-based mean square error estimator for remote sensing assisted forest applications (2018) (36)
- Using Airborne Laser Scanning Data to Support Forest Sample Surveys (2014) (34)
- Estimating single-tree branch biomass of Norway spruce by airborne laser scanning (2013) (34)
- Automatic Estimation of Tree Position and Stem Diameter Using a Moving Terrestrial Laser Scanner (2017) (34)
- Geostatistical estimation of forest biomass in interior Alaska combining Landsat-derived tree cover, sampled airborne lidar and field observations (2017) (33)
- Conditional tau coefficient for assessment of producer's accuracy of classified remotely sensed data (1996) (33)
- Comparing parametric and non-parametric modelling of diameter distributions on independent data using airborne laser scanning in a boreal conifer forest (2013) (33)
- Accurate single-tree positions from a harvester: a test of two global satellite-based positioning systems (2017) (31)
- Determination of number of stems in coniferous forest stands by means of aerial photo‐interpretation (1996) (31)
- Modelling aboveground forest biomass using airborne laser scanner data in the miombo woodlands of Tanzania (2015) (30)
- Influence of Plot Size on Efficiency of Biomass Estimates in Inventories of Dry Tropical Forests Assisted by Photogrammetric Data from an Unmanned Aircraft System (2017) (29)
- Methods for variable selection in LiDAR-assisted forest inventories (2017) (29)
- Deriving individual tree competition indices from airborne laser scanning (2012) (29)
- Large-area hybrid estimation of aboveground biomass in interior Alaska using airborne laser scanning data (2018) (29)
- Performance of GPS Precise Point Positioning Under Conifer Forest Canopies (2008) (28)
- Individual tree crown approach for predicting site index in boreal forests using airborne laser scanning and hyperspectral data (2017) (28)
- Subalpine zone delineation using LiDAR and Landsat imagery (2012) (28)
- Effects of UAV Image Resolution, Camera Type, and Image Overlap on Accuracy of Biomass Predictions in a Tropical Woodland (2019) (28)
- Deriving airborne laser scanning based computational canopy volume for forest biomass and allometry studies (2014) (27)
- Direct and indirect site index determination for Norway spruce and Scots pine using bitemporal airborne laser scanner data (2018) (26)
- Weibull models for single-tree increment of Norway spruce, Scots pine, birch and other broadleaves in Norway (2009) (25)
- Modeling and predicting aboveground biomass change in young forest using multi-temporal airborne laser scanner data (2015) (25)
- Monitoring forest carbon in a Tanzanian woodland using interferometric SAR: a novel methodology for REDD+ (2015) (25)
- Influence of terrain model smoothing and flight and sensor configurations on detection of small pioneer trees in the boreal-alpine transition zone utilizing height metrics derived from airborne scanning lasers. (2009) (24)
- Predicting Selected Forest Stand Characteristics with Multispectral ALS Data (2018) (24)
- Assessing forest windthrow damage using single-date, post-event airborne laser scanning data (2018) (24)
- Aboveground Woody Biomass Product Validation Good Practices Protocol (2021) (24)
- Prediction of tree-size distributions and inventory variables from cumulants of canopy height distributions (2013) (23)
- Methods for evaluating the utilities of local and global maps for increasing the precision of estimates of subtropical forest area (2016) (23)
- Mapping Above- and Below-Ground Carbon Pools in Boreal Forests: The Case for Airborne Lidar (2015) (23)
- Measures of spatial forest structure derived from airborne laser data are associated with natural regeneration patterns in an uneven-aged spruce forest (2008) (23)
- Use of local and global maps of forest canopy height and aboveground biomass to enhance local estimates of biomass in miombo woodlands in Tanzania (2020) (23)
- Modeling and Estimating Change (2014) (23)
- Economic analysis of timber management practices promoting preservation of biological diversity (1997) (22)
- Predicting and mapping site index in operational forest inventories using bitemporal airborne laser scanner data (2020) (22)
- ASSESSING EFFECTS OF LASER POINT DENSITY ON BIOPHYSICAL STAND PROPERTIES DERIVED FROM AIRBORNE LASER SCANNER DATA IN MATURE FOREST (2007) (21)
- Prediction of Species-Specific Volume Using Different Inventory Approaches by Fusing Airborne Laser Scanning and Hyperspectral Data (2017) (21)
- Relative Efficiency of ALS and InSAR for Biomass Estimation in a Tanzanian Rainforest (2015) (21)
- Using pre-classification to improve the accuracy of species-specific forest attribute estimates from airborne laser scanner data and aerial images (2014) (21)
- Estimating stand level stem diameter distribution utilizing harvester data and airborne laser scanning (2019) (20)
- LiDAR-supported estimation of change in forest biomass with time-invariant regression models (2015) (20)
- Large-scale prediction of aboveground biomass in heterogeneous mountain forests by means of airborne laser scanning (2016) (19)
- Models for predicting above-ground biomass of Betula pubescens spp. czerepanóvii in mountain areas of southern Norway (2009) (19)
- Can airborne laser scanning assist in mapping and monitoring natural forests (2016) (19)
- Accuracy and Precision for Remote Sensing Applications of Nonlinear Model-Based Inference (2013) (19)
- Effects of terrain slope and aspect on the error of ALS-based predictions of forest attributes (2018) (19)
- Predicting Attributes of Regeneration Forests Using Airborne Laser Scanning (2016) (19)
- Simulation-based assessment of sampling strategies for large-area biomass estimation using wall-to-wall and partial coverage airborne laser scanning surveys (2016) (18)
- Local validation of global biomass maps (2019) (18)
- Comparison of linear regression, k-nearest neighbour and random forest methods in airborne laser-scanning-based prediction of growing stock (2020) (18)
- Estimating potential logging residues in a boreal forest by airborne laser scanning (2012) (17)
- Vertical Height Errors in Digital Terrain Models Derived from Airborne Laser Scanner Data in a Boreal-Alpine Ecotone in Norway (2015) (17)
- Proceedings of the Scandlaser scientific workshop on airborne laser scanning of forests (2003) (17)
- Modeling biophysical properties of broad-leaved stands in the hyrcanian forests of Iran using fused airborne laser scanner data and ultraCam-D images (2017) (16)
- Utilizing accurately positioned harvester data: modelling forest volume with airborne laser scanning (2018) (16)
- Spruce diameter growth in young mixed stands of Norway spruce (Picea abies (L.) Karst.) and birch (Betula pendula Roth B. pubescens Ehrh.) (2002) (16)
- Detection and Segmentation of Small Trees in the Forest-Tundra Ecotone Using Airborne Laser Scanning (2016) (16)
- Modelling bird richness and bird species presence in a boreal forest reserve using airborne laser-scanning and aerial images (2014) (15)
- Efficient multiresolution spatial predictions for large data arrays (2007) (15)
- Using genetic algorithms to optimize k-Nearest Neighbors configurations for use with airborne laser scanning data (2016) (15)
- Using a Finer Resolution Biomass Map to Assess the Accuracy of a Regional, Map-Based Estimate of Forest Biomass (2019) (14)
- The efficiency of post-stratification compared to model-assisted estimation (2017) (14)
- Classifying tree and nontree echoes from airborne laser scanning in the forest–tundra ecotone (2013) (14)
- Positional accuracy of boundaries between clearcuts and mature forest stands delineated by means of aerial photointerpretation (1998) (14)
- The effects of temporal differences between map and ground data on map-assisted estimates of forest area and biomass (2016) (13)
- Comparing Empirical and Semi-Empirical Approaches to Forest Biomass Modelling in Different Biomes Using Airborne Laser Scanner Data (2017) (13)
- Classifications of Forest Change by Using Bitemporal Airborne Laser Scanner Data (2019) (13)
- On the evaluation of competition indices – The problem of overlapping samples (2013) (12)
- Estimation of biomass change in montane forests in Norway along a 1200 km latitudinal gradient using airborne laser scanning: a comparison of direct and indirect prediction of change under a model-based inferential approach (2018) (12)
- Post-stratified change estimation for large-area forest biomass using repeated ALS strip sampling (2017) (12)
- A functional regression model for inventories supported by aerial laser scanner data or photogrammetric point clouds (2016) (12)
- Estimation of Forest Area and Canopy Cover Based on Visual Interpretation of Satellite Images in Ethiopia (2018) (12)
- Automatic Detection of Small Single Trees in the Forest-Tundra Ecotone Using Airborne Laser Scanning (2014) (11)
- Scale effects in survey estimates of proportions and quantiles of per unit area attributes (2016) (11)
- Assessing Dead Wood by Airborne Laser Scanning (2014) (11)
- Comparing the stock-change and gain–loss approaches for estimating forest carbon emissions for the aboveground biomass pool (2018) (11)
- Stand Volume Functions for Picea abies in Eastern, Central and Northern Norway (1999) (10)
- Determination of mean diameter by basal area in stands of picea abies and pinus sylvestris in southeastern Norway by means of aerial photographs (1995) (10)
- Optimizing nearest neighbour configurations for airborne laser scanning-assisted estimation of forest volume and biomass (2017) (10)
- An Estimator of Variance for Two-Stage Ratio Regression Estimators (2014) (10)
- A practical measure for determining if diameter (D) and height (H) should be combined into D2H in allometric biomass models (2019) (10)
- Multi-sensor forest vegetation height mapping methods for Tanzania (2018) (10)
- Coupling a differential global navigation satellite system to a cut-to-length harvester operating system enables precise positioning of harvested trees (2021) (9)
- A poststratified ratio estimator for model-assisted biomass estimation in sample-based airborne laser scanning surveys (2016) (9)
- Modelling Site Index in Forest Stands Using Airborne Hyperspectral Imagery and Bi-Temporal Laser Scanner Data (2019) (9)
- Improving Classification of Airborne Laser Scanning Echoes in the Forest-Tundra Ecotone Using Geostatistical and Statistical Measures (2014) (9)
- EFFECTS OF FOREST GROWTH ON LASER DERIVED CANOPY METRICS (2004) (9)
- Remote Sensing Support for the Gain-Loss Approach for Greenhouse Gas Inventories (2020) (9)
- Assessing effects of sample plot positioning errors on biophysical stand properties derived from airborne laser scanner data. (2008) (8)
- Predicting the occurrence of large-diameter trees using airborne laser scanning (2014) (8)
- Harvested area did not increase abruptly—how advancements in satellite-based mapping led to erroneous conclusions (2022) (8)
- Modelling above Ground Biomass in Tanzanian Miombo Woodlands Using TanDEM-X WorldDEM and Field Data (2017) (8)
- Extending and improving methods for operational stand-wise forest inventories utilizing multi-resolution airborne laser scanner data (2006) (8)
- Monitoring small pioneer trees in the forest-tundra ecotone: using multi-temporal airborne laser scanning data to model height growth (2017) (8)
- Prediction of stem diameter and biomass at individual tree crown level with advanced machine learning techniques (2019) (8)
- Use of Remotely Sensed Data to Enhance Estimation of Aboveground Biomass for the Dry Afromontane Forest in South-Central Ethiopia (2020) (8)
- Assessing the Effect of Erroneous Placement of Forest Stand Boundaries on the Estimated Area of Individual Stands (1999) (8)
- Combining airborne laser scanning and Landsat data for statistical modeling of soil carbon and tree biomass in Tanzanian Miombo woodlands (2017) (7)
- Model-based inference for k-nearest neighbours predictions using a canonical vine copula (2013) (7)
- Unsupervised Selection of Training Samples for Tree Species Classification Using Hyperspectral Data (2014) (7)
- The relative role of climate and herbivory in driving treeline dynamics along a latitudinal gradient (2020) (6)
- REMOTE SENSING OF FOLIAR MASS AND CHLOROPHYLL AS INDICATORS OF FOREST HEALTH : PRELIMINARY RESULTS FROM A PROJECT IN NORWAY (2007) (6)
- Comparing frameworks for biomass prediction for the Global Ecosystem Dynamics Investigation (2022) (6)
- Prediction of mean diameter, tariff number and gross value in coniferous stands from aerial photographs. (1990) (5)
- Field calibration of merchantable and sawlog volumes in forest inventories based on airborne laser scanning (2020) (5)
- Spatially consistent imputations of forest data under a semivariogram model (2016) (5)
- The effect of lipid-degrading enzyme activities on quality of blanched and unblanched frozen stored cauliflower estimated by sensory and instrumental analysis (1989) (5)
- Conditioning post-stratified inference following two-stage, equal-probability sampling (2016) (5)
- Relationships between single-tree mountain birch summertime albedo and vegetation properties (2021) (5)
- Testing for marginal homogeneity of remote sensing classification error matrices with ordered categories (1995) (5)
- Forest resource mapping using 3 D remote sensing : Combining national forest inventory data and digital aerial photogrammetry (2017) (4)
- Discrimination between Ground Vegetation and Small Pioneer Trees in the Boreal-Alpine Ecotone Using Intensity Metrics Derived from Airborne Laser Scanner Data (2016) (4)
- A new prediction-based variance estimator for two-stage model-assisted surveys of forest resources (2017) (4)
- MAPPING DEFOLIATION WITH LIDAR (2007) (4)
- Statistically rigorous, model-based inferences from maps (2022) (4)
- A framework for a forest ecological base map – An example from Norway (2022) (4)
- Accommodating heteroscedasticity in allometric biomass models (2021) (4)
- Assessing spatial variation for tree and non-tree objects in a forest-tundra ecotone in airborne laser scanning data. (2011) (3)
- Optimizing the ground sample collection with cost-sensitive active learning for tree species classification using hyperspectral images (2013) (3)
- Benefits of past inventory data as prior information for the current inventory (2020) (3)
- Derivation of a predictive model for production of tree species composition maps at small scales using discriminant function analysis (1995) (3)
- Detection of Root, Butt, and Stem Rot presence in Norway spruce with hyperspectral imagery (2022) (3)
- Incorporating interpreter variability into estimation of the total variance of land cover area estimates under simple random sampling (2022) (3)
- Effects of harvester positioning errors on merchantable timber volume predicted and estimated from airborne laser scanner data in mature Norway spruce forests (2022) (3)
- Stand volume functions for picea abies in western Norway (1995) (3)
- Reuse of field data in ALS-assisted forest inventory (2020) (3)
- Economic utility of 3D remote sensing data for estimation of site index in Nordic commercial forest inventories: a comparison of airborne laser scanning, digital aerial photogrammetry and conventional practices (2021) (3)
- A Model-Dependent Method for Monitoring Subtle Changes in Vegetation Height in the Boreal-Alpine Ecotone Using Bi-Temporal, Three Dimensional Point Data from Airborne Laser Scanning (2019) (3)
- An application niche for finite mixture models in forest resource surveys (2019) (3)
- Modeling tree species diversity by combining ALS data and digital aerial photogrammetry (2020) (2)
- Generation of Lidar-Predicted Forest Biomass Maps from Radar Backscatter with Conditional Generative Adversarial Networks (2020) (2)
- Unsupervised selection of training plots and trees for tree species classification (2013) (2)
- No “Abrupt increase in harvested forest area over Europe after 2015” – How the misuse of a satellite-based map led to completely wrong conclusions (2021) (2)
- Countering Negative Effects of Terrain Slope on Airborne Laser Scanner Data Using Procrustean Transformation and Histogram Matching (2017) (2)
- Photo interpretation of areas with thin soil cover and bedrock outcrops within forest stands (1995) (2)
- Forest monitoring with airborne laser scanning in Tanzania (2015) (2)
- Optimizing Field Data Collection for Individual Tree Attribute Predictions Using Active Learning Methods (2019) (2)
- Using airborne & space lidars for large-area inventory (2010) (2)
- Characterizing forest species composition using multiple sensors and inventory approaches (2012) (1)
- On the model-assisted regression estimators using remotely sensed auxiliary data (2022) (1)
- Methods for estimating volume , biomass and tree species diversity using field inventory and airborne laser scanning in the tropical forests of Tanzania (2015) (1)
- Consistent forest biomass stock and change estimation across stand, property, and landscape levels (2020) (1)
- Determination of stumpage value and logging costs in coniferous forest stands by means of aerial photo‐interpretation (1996) (1)
- On the Potential of Sequential and Nonsequential Regression Models for Sentinel-1-Based Biomass Prediction in Tanzanian Miombo Forests (2021) (1)
- UAV-Based Hyperspectral Imagery for Detection of Root, Butt, and Stem Rot in Norway Spruce (2022) (1)
- Prediction of Forest Attributes with Multispectral Lidar Data (2018) (1)
- Derivation of stumpage value and logging costs for individual forest stands using aerial photographs and cartographic modelling (1996) (1)
- SIMULATING SAMPLING EFFICIENCY IN AIRBORNE LASER SCANNING BASED FOREST INVENTORY (2007) (1)
- In-situ calibration of stand level merchantable and sawlog volumes using cut-to-length harvester measurements and airborne laser scanning data (2021) (1)
- Wood Decay Detection in Norway Spruce Forests Based on Airborne Hyperspectral and ALS Data (2022) (1)
- Determination of Stand Parameters in Large-Scale Forest Inventories by Means of Airborne Laser Scanner (2002) (1)
- Short-range spatial distribution of soil depth in forest stands with shallow soils (1994) (1)
- Draft Spatially consistent imputations of forest data under a semivariogram model 1 (2016) (0)
- Draft Utilizing accurately positioned harvester data : Modelling forest volume with airborne laser scanning (2018) (0)
- Effects of tree crown delineation in individual tree species classification with hyperspectral and LiDAR data (2012) (0)
- Detection of heartwood rot in Norway spruce trees with lidar and multi-temporal satellite data (2022) (0)
- Assessing forest inventory information obtained from different inventory approaches and remote sensing data sources (2014) (0)
- Detection of biomass change in a Norwegian mountain forest area using small footprint airborne laser scanner data (2012) (0)
- Benefits of past inventory data as prior information for the current inventory (2020) (0)
- Biases in an airborne profiling survey of Hedmark County, Norway. (2011) (0)
- Estimating Volume, Biomass, and Carbon in Hedmark County, Norway Using a Profiling LiDAR (2009) (0)
- How many bootstrap replications are necessary for estimating remote sensing-assisted, model-based standard errors? (2023) (0)
- Spatial Estimates of GPP Using LiDAR- and Quickbird-Derived fPAR (2007) (0)
- The effects of temporal differences between map and ground data on map-assisted estimates of forest area and biomass (2015) (0)
- Use of models in large-area forest surveys: comparing model-assisted, model-based and hybrid estimation (2016) (0)
- Using genetic algorithms to optimize k-Nearest Neighbors con fi gurations for use with airborne laser scanning data (2016) (0)
- Comparing 3D Point Cloud Data from Laser Scanning and Digital Aerial Photogrammetry for Height Estimation of Small Trees and Other Vegetation in a Boreal-Alpine Ecotone (2021) (0)
- Predicting the aboveground biomass of individual trees using remote sensing data and new allometric models: a case study in Norway (2016) (0)
- Accuracy assessment of the nationwide forest attribute map of Norway constructed by using airborne laser scanning data and field data from the national forest inventory (2023) (0)
- Aberystwyth University The Role and Need for Space-Based Forest Biomass-Related Measurements in Environmental Management and Policy (2019) (0)
- Fine-Spatial Boreal-Alpine Single-Tree Albedo Measured by UAV: Experiences and Challenges (2022) (0)
- Tree species classification with hyperspectral data and artificial training samples (2017) (0)
- Soil carbon stocks in forest-tundra ecotones along a 500 km latitudinal gradient in northern Norway (2022) (0)
- Corrigendum to “Accommodating heteroscedasticity in allometric biomass models” [For. Ecol. Manage. 505 (2022) 119865] (2022) (0)
- Comparison of Different Remotely Sensed Data Sources for Detection of Presence of Standing Dead Trees Using a Tree-Based Approach (2023) (0)
- Fjernmåling av barmasse - en skoghelsevariabel (2005) (0)
- Constructing Forest Biomass Prediction Maps from Radar Backscatter by Sequential Regression with a Conditional Generative Adversarial Network (2021) (0)
- Monitoring tree occupancy and height in the Norwegian alpine treeline using a time series of airborne laser scanner data (2023) (0)
- Harvested area did not increase abruptly – How an inconsistency in satellite-based mapping led to erroneous conclusions (2021) (0)
- Reducing extrapolation bias of area-based k-nearest neighbor predictions by using individual tree crown approaches in areas with high density airborne laser scanning data. (2011) (0)
- USING AIRBORNE SMALL-FOOTPRINT LASER SCANNER TO ASSESS THE QUANTITY OF SEEDLINGS IN AN UNEVEN-AGED SPRUCE FOREST (2007) (0)
- Conditioning post-stratified inference following two-stage, equal-probability sampling (2015) (0)
This paper list is powered by the following services:
What Schools Are Affiliated With Erik Nightingale Næsset?
Erik Nightingale Næsset is affiliated with the following schools:
