The roles of nearest neighbor methods in imputing missing data in forest inventory and monitoring databases

No abstract is available for this paper.

• Publication year

  2009

• Venue

  Scandinavian Journal of Forest Research

• Publication date

  2009-06-01

• Fields of study

  Computer Science, Environmental Science

• Identifiers
  DOI 10.1080/02827580902870490
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Predicting categorical forest variables using an improved k-Nearest Neighbour estimator and Landsat imagery

  2009cited by this paper
• Diagnostic tools for nearest neighbors techniques when used with satellite imagery

  2009influential reference
• Spatially consistent nearest neighbor imputation of forest stand data

  2009influential reference
• Design-based approach to k-nearest neighbours technique for coupling field and remotely sensed data in forest surveys

  2009cited by this paper
• Model-based mean square error estimators for k-nearest neighbour predictions and applications using remotely sensed data for forest inventories

  2009cited by this paper
• Using satellite imagery and the k-nearest neighbors technique as a bridge between strategic and management forest inventories

  2008cited by this paper
• yaImpute: An R Package for kNN Imputation

  2008influential reference
• Nearest neighbor imputation of species-level, plot-scale forest structure attributes from LiDAR data

  2008influential reference
• Combining national forest inventory field plots and remote sensing data for forest databases

  2008cited by this paper
• Estimation of species-specific diameter distributions using airborne laser scanning and aerial photographs

  2008cited by this paper
• Estimating stand structural details using nearest neighbor analyses to link ground data, forest cover maps, and Landsat imagery

  2008cited by this paper
• Comparison of linear and mixed-effect regression models and a k-nearest neighbour approach for estimation of single-tree biomass

  2008influential reference
• Non-parametric and parametric methods using satellite images for estimating growing stock volume in alpine and Mediterranean forest ecosystems

  2008influential reference
• Examination of imputation methods to estimate status and change of forest attributes from paneled inventory data

  2008cited by this paper
• Estimating Cavity Tree Abundance Using Nearest Neighbor Imputation Methods for Western Oregon and Washington Forests

  2008influential reference
• Area-based lidar-assisted estimation of forest standing volume

  2008cited by this paper
• Localization of growth estimates using non-parametric imputation methods

  2008influential reference
• Estimating areal means and variances of forest attributes using the k-Nearest Neighbors technique and satellite imagery

  2007cited by this paper
• A Multiscale Curvature Algorithm for Classifying Discrete Return LiDAR in Forested Environments

  2007cited by this paper
• Partitioning Error Components for Accuracy-Assessment of Near-Neighbor Methods of Imputation

  2007influential reference
• Estimation in Surveys with Nonresponse

  2007cited by this paper
• Forest Measurement and Biometrics in Forest Management: Status and Future Needs of the Pacific Northwest USA

  2007cited by this paper
• The k-MSN method for the prediction of species-specific stand attributes using airborne laser scanning and aerial photographs

  2007influential reference
• Nonparametric estimation of stem volume using airborne laser scanning, aerial photography, and stand-register data

  2006influential reference
• Regression modeling and mapping of coniferous forest basal area and tree density from discrete-return lidar and multispectral satellite data

  2006cited by this paper
• Sampling Methods, Remote Sensing and GIS Multiresource Forest Inventory

  2006cited by this paper
• Model-based prediction error uncertainty estimation for k-nn method

  2006cited by this paper
• Comparison of Nearest Neighbor Methods for Estimating Basal Area and Stems per Hectare Using Aerial Auxiliary Variables

  2005influential reference
• Light Detection and Ranging (LIDAR): An Emerging Tool for Multiple Resource Inventory

  2005cited by this paper
• Estimation of Mediterranean forest attributes by the application of k‐NN procedures to multitemporal Landsat ETM+ images

  2005influential reference
• Using satellite imagery as ancillary data for increasing the precision of estimates for the Forest Inventory and Analysis program of the USDA Forest Service

  2005cited by this paper
• Estimation in Surveys with Nonresponse

  2005influential reference
• CONNECTING INVENTORY INFORMATION SOURCES FOR LANDSCAPE LEVEL ANALYSES

  2005influential reference
• Statistical Analysis With Missing Data (2nd ed.) (Book)

  2004influential reference
• Using coarse scale forest variables as ancillary information and weighting of variables in k-NN estimation: a genetic algorithm approach

  2004cited by this paper
• Regeneration imputation models for complex stands of southeastern British Columbia

  2004influential reference
• Laser scanning of forest resources: the nordic experience

  2004cited by this paper
• Locally Adaptable Non-parametric Methods for Estimating Stand Characteristics for Wood Procurement Planning

  2003influential reference
• Combining Remotely Sensed Optical and Radar Data in kNN-Estimation of Forest Variables

  2003influential reference
• Imputing tree-lists from aerial attributes for complex stands of south-eastern British Columbia

  2003influential reference
• Measuring Similarity in Nearest Neighbor Imputation: Some New Alternatives

  2003influential reference
• Compensating for missing plot observations in forest inventory estimation

  2003cited by this paper
• Combining remote sensing, data from earlier inventories, and geostatistical interpolation in multisource forest inventory

  2003influential reference
• Most similar neighbour‐based stand variable estimation for use in inventory by compartments in Finland

  2003influential reference
• Estimating individual tree growth with nonparametric methods

  2003cited by this paper
• Stratified estimation of forest area using satellite imagery, inventory data, and the k-Nearest Neighbors technique

  2002influential reference
• Users guide to the Most Similar Neighbor Imputation Program Version 2

  2002cited by this paper
• Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data

  2002influential reference
• Integration of lidar and Landsat ETM+ data for estimating and mapping forest canopy height

  2002cited by this paper
• Predictive mapping of forest composition and structure with direct gradient analysis and nearest- neighbor imputation in coastal Oregon, U.S.A.

  2002influential reference
• Random Forests

  2001cited by this paper
• Imputation and Model-Based Updating Techniques for Annual Forest Inventories

  2001cited by this paper
• Estimating Individual Tree Growth with the k-Nearest Neighbour and k-Most Similar Neighbour Methods

  2001cited by this paper
• The Most Similar Neighbour reference in the yield prediction of Pinus kesiya stands in Zambia

  2001influential reference
• Simultaneous Estimations of Forest Parameters using Aerial Photograph Interpreted Data and the k Nearest Neighbour Method

  2001influential reference
• Extension of environmental parameters over the land surface by improved fuzzy classification of remotely sensed data

  2001cited by this paper
• Forest stand characteristics estimation using a most similar neighbor approach and image spatial structure information

  2001cited by this paper
• Estimating the Characteristics of a Marked Stand Using k-Nearest- Neighbour Regression

  1999cited by this paper
• The cambridge dictionary of statistics

  1999cited by this paper
• Methods based on k-nearest neighbor regression in the prediction of basal area diameter distribution

  1998influential reference
• Reconstructing the Spatial Pattern of Trees from Routine Stand Examination Measurements

  1998cited by this paper
• Application of nearest-neighbour regression for generalizing sample tree information

  1997influential reference
• Development and testing of regeneration imputation models for forests in Minnesota

  1997cited by this paper
• Most Similar Neighbor: An Improved Sampling Inference Procedure for Natural Resource Planning

  1995influential reference
• An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression

  1992cited by this paper
• Satellite image-based national forest inventory of finland for publication in the igarss'91 digest

  1991cited by this paper
• Statistical Analysis with Missing Data.

  1989cited by this paper
• Generalized Distance and Discrete Variables

  1970cited by this paper

• Monitoring data cleaning of in-service historic masonry structures: A case study using BiLSTM-AdaBoost and DBSCAN models

  2026cites this paper
• Assessing ecological environmental quality and conservation effectiveness in the World’s largest urban green heart using the remote sensing ecological index (RSEI) and propensity score matching (PSM)

  2025cites this paper
• Geospatial Estimation of Forest Relative Density for Carbon Stewardship Decision Support across the Continental US

  2025cites this paper
• The effects of area-level deprivation on colorectal cancer incidence at the small area-level in Pennsylvania from 2008 to 2017.

  2025cites this paper
• Missing data in ecology: Syntheses, clarifications, and considerations

  2025cites this paper
• Characterizing post-fire northern boreal forest height dynamics

  2024cites this paper
• An Adaptive Missing Data Restoration Method for UAV Confrontation Based on Deep Regression Model

  2024cites this paper
• Evaluation of data imputation approaches for multi-stream building systems data1

  2024cites this paper
• Machine Learning-Based Trustworthy Diabetes Prediction Model

  2024cites this paper
• Improving Pinus densata Carbon Stock Estimations through Remote Sensing in Shangri-La: A Nonlinear Mixed-Effects Model Integrating Soil Thickness and Topographic Variables

  2024cites this paper
• Updating Forest Stand Inventories: Integration of Photo-Interpreted and Airborne Laser Scanning Forest Attributes Using Generic Region Merging Segmentation and kNN Imputation

  2024cites this paper
• A novel ranked k-nearest neighbors algorithm for missing data imputation

  2024cites this paper
• Comparing Single and Multiple Imputation Approaches for Missing Values in Univariate and Multivariate Water Level Data

  2023cites this paper
• Multi-Tempo Forecasting of Soil Temperature Data; Application over Quebec, Canada

  2023cites this paper
• A novel method to repair missing vibration data in rolling bearing vibration signals based on improved optimized measurement matrix

  2023cites this paper
• Enhancing water use efficiency in precision irrigation: data-driven approaches for addressing data gaps in time series

  2023cites this paper
• Uncovering forest dynamics using historical forest inventory data and Landsat time series

  2022cites this paper
• Combining Weibull distribution and k-nearest neighbor imputation method to predict wall-to-wall tree lists for the entire forest region of Northeast China

  2022cites this paper
• Quantitative Investigation of Wildlife Trafficking Supply Chains: A Review

  2022cites this paper
• Imputation of Missing Genotypes with Intelegent K-Nearest Neighbore Algorithm

  2022cites this paper
• Abnormal Data Recovery of Structural Health Monitoring for Ancient City Wall Using Deep Learning Neural Network

  2022cites this paper
• Examining k-Nearest Neighbor Small Area Estimation Across Scales Using National Forest Inventory Data

  2022cites this paper
• Nonresponse bias in change estimation: a national forest inventory example

  2022cites this paper
• Prediction of cardiovascular diseases using weight learning based on density information

  2021cites this paper
• Modelling lidar-derived estimates of forest attributes over space and time: A review of approaches and future trends

  2021cites this paper
• 동향 Technical Trends of Time-Series Data Imputation

  2021cites this paper
• Una Propuesta de Sistema de Diagnóstico de Fallos Robusto Ante la Presencia de Pérdida de Información y Ruido en Sistemas Mecánicos

  2021cites this paper
• Machine learning predictions for lost time injuries in power transmission and distribution projects

  2021cites this paper
• FOSTER—An R package for forest structure extrapolation

  2021cites this paper
• Predicting commercial tree quality by means of airborne laser scanning

  2020cites this paper
• Estimating wildfire fuel consumption with multitemporal airborne laser scanning data and demonstrating linkage with MODIS-derived fire radiative energy

  2020cites this paper
• Constrained Functional Regression of National Forest Inventory Data Over Time Using Remote Sensing Observations

  2020cites this paper
• Biogeographical Ancestry Inference from Genotype: A Comparison of Ancestral Informative SNPs and Genome-wide SNPs

  2020cites this paper
• Cross Assessment of Twenty-One Different Methods for Missing Precipitation Data Estimation

  2020cites this paper
• Optimised Big Data analytics for health and safety hazards prediction in power infrastructure operations

  2020cites this paper
• Monitoring aboveground forest biomass dynamics over three decades using Landsat time-series and single-date inventory data

  2020cites this paper
• Imputation of Rainfall Data Using Improved Neural Network Algorithm

  2020cites this paper
• Assessing the 3-D Structure of Bamboo Forests Using an Advanced Pseudo-Vertical Waveform Approach Based on Airborne Full-Waveform LiDAR Data

  2020cites this paper
• Environmental Conditions, Preseason Fitness Levels, and Game Workload: Analysis of a Female NCAA DI National Championship Soccer Season.

  2020cites this paper
• Evaluating k-Nearest Neighbor (kNN) Imputation Models for Species-Level Aboveground Forest Biomass Mapping in Northeast China

  2019cites this paper
• A Novel Weight Learning Approach Based on Density for Accurate Prediction of Atherosclerosis

  2019cites this paper
• Evaluating observed versus predicted forest biomass: R-squared, index of agreement or maximal information coefficient?

  2019cites this paper
• Infilling Missing Rainfall and Runoff Data for Sarawak, Malaysia Using Gaussian Mixture Model Based K-Nearest Neighbor Imputation

  2019cites this paper
• Imputation of Multivariate Attribute Values in Big Data

  2019cites this paper
• Faculty of Science and Forestry PREDICTION OF SPECIES-SPECIFIC VOLUMES USING SINGLE- SENSOR MULTISPECTRAL AIRBORNE LASER SCANNING AND NONPARAMETRIC kMSN METHOD

  2019influential citation
• Historical Weather Data Recovery and Estimation

  2019cites this paper
• Prediction of diameter distributions and tree-lists in southwestern Oregon using LiDAR and stand-level auxiliary information

  2019cites this paper
• The transferability of airborne laser scanning based tree-level models between different inventory areas

  2019cites this paper
• Prediction of Diameter Distributions with Multimodal Models Using LiDAR Data in Subtropical Planted Forests

  2019cites this paper
• Comparison of small area estimation methods applied to biopower feedstock supply in the Northern U.S. region

  2019cites this paper
• Landsat Time-Series for Estimating Forest Aboveground Biomass and Its Dynamics across Space and Time: A Review

  2019cites this paper
• Subgrouping Factors Influencing Migraine Intensity in Women: A Semi‐automatic Methodology Based on Machine Learning and Information Geometry

  2019cites this paper
• Collection of historical weather data: issues with missing values

  2019cites this paper
• A macroscale evaluation of forest management in the boreal forest of Canada : linking data and models

  2019influential citation
• Vegetation mapping to support greater sage‐grouse habitat monitoring and management: multi‐ or univariate approach?

  2019cites this paper
• A Comparison of Imputation Approaches for Estimating Forest Biomass Using Landsat Time-Series and Inventory Data

  2018influential citation
• Imputing Structured Missing Values in Spatial Data with Clustered Adversarial Matrix Factorization

  2018cites this paper
• Recent Advances in Activity-Based Travel Demand Models for Greater Flexibility

  2018cites this paper
• A comparison of manned and unmanned aerial Lidar systems in the context of sustainable forest management

  2018cites this paper
• Development and assessment of regeneration imputation models for National Forests of Oregon and Washington

  2018cites this paper
• Three decades of forest structural dynamics over Canada's forested ecosystems using Landsat time-series and lidar plots

  2018cites this paper
• Low voltage current estimation using AMI/smart meter data

  2018cites this paper
• Lidar supported estimators of wood volume and aboveground biomass from the Danish national forest inventory (2012–2016)

  2018cites this paper
• Evaluation of IRS and Landsat 8 OLI imagery data for estimation forest attributes using k nearest neighbour non-parametric method

  2018cites this paper
• Large-area mapping of Canadian boreal forest cover, height, biomass and other structural attributes using Landsat composites and lidar plots

  2018cites this paper
• Optimization of forest sampling strategies for woody plant species distribution modelling at the landscape scale

  2018cites this paper
• Individual tree detection and modelling aboveground biomass and forest parameters using discrete return airborne LiDAR data

  2018cites this paper
• An Assessment of Small Unmanned Aerial Systems in Support of Sustainable Forestry Management Initiatives

  2018cites this paper
• Comparison of approaches for estimating individual tree height–diameter relationships in the Acadian forest region

  2018cites this paper
• Multivariate estimation for accurate and logically consistent forest-attributes maps at macroscales

  2018cites this paper
• Modeling of stem form and volume through machine learning.

  2018cites this paper
• An Examination of Diameter Density Prediction with k-NN and Lidar

  2017cites this paper
• A space-time data cube: Multi-temporal forest structure maps from landsat and lidar

  2017cites this paper
• An imputation/copula-based stochastic individual tree growth model for mixed species Acadian forests: a case study using the Nova Scotia permanent sample plot network

  2017cites this paper
• Mapping site index and volume increment from forest inventory, Landsat, and ecological variables in Tahoe National Forest, California, USA

  2017cites this paper
• An Examination of Diameter Density Prediction with k-NN and Airborne Lidar

  2017cites this paper
• Updating Canada’s National Forest Inventory with multiple imputations of missing contemporary data

  2017cites this paper
• Enhancing of accuracy assessment for forest above-ground biomass estimates obtained from remote sensing via hypothesis testing and overfitting evaluation

  2017cites this paper
• Estimating Stem Diameter Distributions in a Management Context for a Tolerant Hardwood Forest Using ALS Height and Intensity Data

  2017influential citation
• Monitoring miombo woodlands of Southern Africa with multi-source information in a model-based framework

  2017cites this paper
• A model development and application guide for generating an enhanced forest inventory using airborne laser scanning data and an area-based approach

  2017influential citation
• Gap-filling a spatially-explicit plant trait database : comparing imputation methods and different levels of ecological information

  2017cites this paper
• Preprocessing and analysis of environmental data: Application to the water quality assessment of Mexican rivers. (Pré-traitement et analyse des données environnementales: application à l'évaluation de la qualité de l'eau des rivières mexicaines)

  2017cites this paper
• Gap-filling a spatially explicit plant trait database: comparing imputation methods and different levels of environmental information

  2017cites this paper
• Features selection for arrhythmia diagnosis using Relief-F algorithm and support vector machine

  2017cites this paper
• A novel hybrid subset-learning method for predicting risk factors of atherosclerosis

  2017cites this paper
• Lidar Aboveground Vegetation Biomass Estimates in Shrublands: Prediction, Uncertainties and Application to Coarser Scales

  2017cites this paper
• The protective effect of forests against rockfalls across the French Alps: Influence of forest diversity

  2016cites this paper
• Contrasting fire damage and fire susceptibility between seasonally flooded forest and upland forest in the Central Amazon using portable profiling LiDAR

  2016cites this paper
• A meta-analysis and review of the literature on the k-Nearest Neighbors technique for forestry applications that use remotely sensed data

  2016cites this paper
• Integrating Landsat pixel composites and change metrics with lidar plots to predictively map forest structure and aboveground biomass in Saskatchewan, Canada

  2016cites this paper
• Assessing the Limitations and Capabilities of Lidar and Landsat 8 to Estimate the Aboveground Vegetation Biomass and Cover in a Rangeland Ecosystem Using a Machine Learning Algorithm

  2016cites this paper
• Comparing Modeling Methods for Predicting Forest Attributes Using LiDAR Metrics and Ground Measurements

  2016cites this paper
• Canopy cover estimation in miombo woodlands of Zambia: Comparison of Landsat 8 OLI versus RapidEye imagery using parametric, nonparametric, and semiparametric methods

  2016cites this paper
• Adaptive logistic group Lasso method for predicting the no-reflow among the multiple types of high-dimensional variables with missing data

  2016cites this paper
• Simulated water budget of a small forested watershed in the continental/maritime hydroclimatic region of the United States

  2016cites this paper
• Mapping Forest Structure and Composition from Low-Density LiDAR for Informed Forest, Fuel, and Fire Management at Eglin Air Force Base, Florida, USA

  2016cites this paper
• Modelling aboveground forest biomass using airborne laser scanner data in the miombo woodlands of Tanzania

  2015cites this paper
• Improved methods for the imputation of missing data by nearest neighbor methods

  2015cites this paper
• A Comparison of Airborne Laser Scanning and Image Point Cloud Derived Tree Size Class Distribution Models in Boreal Ontario

  2015cites this paper