Evaluation of most similar neighbour and random forest methods for imputing forest inventory variables using data from target and auxiliary stands

yaImpute: AnRPackage forkNN Imputation

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Non-parametric prediction and mapping of standing timber volume and biomass in a temperate forest: application of multiple optical/LiDAR-derived predictors

(2010) H. Latifi et al.   FORESTRY

Status and future of laser scanning, synthetic aperture radar and hyperspectral remote sensing data for forest biomass assessment

(2010) Barbara Koch   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Predicting individual tree attributes from airborne laser point clouds based on the random forests technique

(2010) Xiaowei Yu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

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) Johannes Breidenbach et al.   REMOTE SENSING OF ENVIRONMENT

Imputation of single-tree attributes using airborne laser scanning-based height, intensity, and alpha shape metrics

(2010) Jari Vauhkonen et al.   REMOTE SENSING OF ENVIRONMENT

Spatial prediction of forest stand variables

(2009) Arne Nothdurft et al.   EUROPEAN JOURNAL OF FOREST RESEARCH

A comparative analysis of kNN and decision tree methods for the Irish National Forest Inventory

(2009) Daniel O. McInerney et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Using Airborne Laser Scanner Data and CIR Orthophotos to Estimate the Stem Volume of Forest Stands

(2009) Christoph Straub et al.   Photogrammetrie Fernerkundung Geoinformation

Non-parametric prediction of diameter distributions using airborne laser scanner data

(2009) Matti Maltamo et al.   SCANDINAVIAN JOURNAL OF FOREST RESEARCH

Review of methods of small‐footprint airborne laser scanning for extracting forest inventory data in boreal forests

(2008) J. Hyyppä et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

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

(2008) Andrew T. Hudak et al.   REMOTE SENSING OF ENVIRONMENT