4.4 Article

Effects of numbers of observations and predictors for various model types on the performance of forest inventory with airborne laser scanning

Related references

Note: Only part of the references are listed.
Article Forestry

Comparison of linear regression, k-nearest neighbour and random forest methods in airborne laser-scanning-based prediction of growing stock

Diogo N. Cosenza et al.

Summary: In this study, the performances of OLS, kNN, and RF in forest yield modeling were compared, revealing that OLS and RF had similar and higher accuracies compared to kNN. Variable selection did not significantly impact RF performance, while heuristic and exhaustive selection methods had similar effects on OLS. Caution is advised when building kNN models for volume prediction, with a preference for OLS with variable selection or RF with all variables included.

FORESTRY (2021)

Article Environmental Sciences

Resolution dependence in an area-based approach to forest inventory with airborne laser scanning

Petteri Packalen et al.

REMOTE SENSING OF ENVIRONMENT (2019)

Article Geochemistry & Geophysics

Gaussian Process Regression for Forest Attribute Estimation From Airborne Laser Scanning Data

Petri Varvia et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)

Article Geochemistry & Geophysics

Multispectral Airborne LiDAR Data in the Prediction of Boreal Tree Species Composition

Mikko Kukkonen et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)

Article Environmental Sciences

Combining LiDAR and hyperspectral data for aboveground biomass modeling in the Brazilian Amazon using different regression algorithms

Catherine Torres de Almeida et al.

REMOTE SENSING OF ENVIRONMENT (2019)

Article Remote Sensing

Comparing Modeling Methods for Predicting Forest Attributes Using LiDAR Metrics and Ground Measurements

Joonghoon Shin et al.

CANADIAN JOURNAL OF REMOTE SENSING (2016)

Review Geography, Physical

Random forest in remote sensing: A review of applications and future directions

Mariana Belgiu et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2016)

Article Computer Science, Artificial Intelligence

Overfitting in linear feature extraction for classification of high-dimensional image data

Raymond Liu et al.

PATTERN RECOGNITION (2016)

Article Remote Sensing

Comparing Modeling Methods for Predicting Forest Attributes Using LiDAR Metrics and Ground Measurements

Joonghoon Shin et al.

CANADIAN JOURNAL OF REMOTE SENSING (2016)

Article Agriculture, Multidisciplinary

A performance comparison of machine learning methods to estimate the fast-growing forest plantation yield based on laser scanning metrics

Eric Bastos Goergens et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2015)

Article Computer Science, Artificial Intelligence

A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables

J. Garcia-Gutierrez et al.

NEUROCOMPUTING (2015)

Article Statistics & Probability

yaImpute: AnRPackage forkNN Imputation

Nicholas L. Crookston et al.

Journal of Statistical Software (2015)

Article Statistics & Probability

Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent

Noah Simon et al.

Journal of Statistical Software (2015)

Article Engineering, Electrical & Electronic

Forest Biomass and Carbon Stock Quantification Using Airborne LiDAR Data: A Case Study Over Huntington Wildlife Forest in the Adirondack Park

Manqi Li et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2014)

Article Remote Sensing

Variable selection strategies for nearest neighbor imputation methods used in remote sensing based forest inventory

Petteri Packalen et al.

CANADIAN JOURNAL OF REMOTE SENSING (2012)

Review Geography, Physical

Support vector machines in remote sensing: A review

Giorgos Mountrakis et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2011)

Article Geochemistry & Geophysics

Neural Networks for the Prediction of Species-Specific Plot Volumes Using Airborne Laser Scanning and Aerial Photographs

Harri Niska et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2010)

Article Forestry

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

E Næsset

SCANDINAVIAN JOURNAL OF FOREST RESEARCH (2004)

Article Chemistry, Multidisciplinary

The problem of overfitting

DM Hawkins

JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES (2004)

Article Dentistry, Oral Surgery & Medicine

Indian hedgehog:: A mechanotransduction mediator in condylar cartilage

GH Tang et al.

JOURNAL OF DENTAL RESEARCH (2004)

Article Chemistry, Multidisciplinary

Assessing model fit by cross-validation

DM Hawkins et al.

JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES (2003)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)

Review Computer Science, Artificial Intelligence

Statistical pattern recognition: A review

AK Jain et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2000)