Predicting Stem Total and Assortment Volumes in an Industrial Pinus taeda L. Forest Plantation Using Airborne Laser Scanning Data and Random Forest

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

(2016) Andrew T. Hudak et al.   CANADIAN JOURNAL OF REMOTE SENSING

Imputation of Individual Longleaf Pine (Pinus palustrisMill.) Tree Attributes from Field and LiDAR Data

(2016) Carlos A. Silva et al.   CANADIAN JOURNAL OF REMOTE SENSING

A principal component approach for predicting the stem volume in Eucalyptus plantations in Brazil using airborne LiDAR data

(2016) Carlos Alberto Silva et al.   FORESTRY

Comparing Generalized Linear Models and random forest to model vascular plant species richness using LiDAR data in a natural forest in central Chile

(2016) J. Lopatin et al.   REMOTE SENSING OF ENVIRONMENT

Direct Measurement of Tree Height Provides Different Results on the Assessment of LiDAR Accuracy

(2016) Emanuele Sibona et al.   Forests

Maximizing the Diversity of Ensemble Random Forests for Tree Genera Classification Using High Density LiDAR Data

(2016) Connie Ko et al.   Remote Sensing

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

(2016) Andrew T. Hudak et al.   CANADIAN JOURNAL OF REMOTE SENSING

Imputation of Individual Longleaf Pine (Pinus palustrisMill.) Tree Attributes from Field and LiDAR Data

(2016) Carlos A. Silva et al.   CANADIAN JOURNAL OF REMOTE SENSING

Changes in planted forests and future global implications

(2015) Tim Payn et al.   FOREST ECOLOGY AND MANAGEMENT

A Comparative Study of Predicting DBH and Stem Volume of Individual Trees in a Temperate Forest Using Airborne Waveform LiDAR

(2015) Jianwei Wu et al.   IEEE Geoscience and Remote Sensing Letters

Characterizing stand-level forest canopy cover and height using Landsat time series, samples of airborne LiDAR, and the Random Forest algorithm

(2015) Oumer S. Ahmed et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

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

(2015) J. García-Gutiérrez et al.   NEUROCOMPUTING

Validating estimates of merchantable volume from airborne laser scanning (ALS) data using weight scale data

(2014) Joanne C. White et al.   FORESTRY CHRONICLE

Accuracy in estimation of timber assortments and stem distribution – A comparison of airborne and terrestrial laser scanning techniques

(2014) Ville Kankare et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A Tale of Two “Forests”: Random Forest Machine Learning Aids Tropical Forest Carbon Mapping

(2014) Joseph Mascaro et al.   PLoS One

Assessing the Feasibility of Low-Density LiDAR for Stand Inventory Attribute Predictions in Complex and Managed Forests of Northern Maine, USA

(2014) Rei Hayashi et al.   Forests

Estimation of Airborne Lidar-Derived Tropical Forest Canopy Height Using Landsat Time Series in Cambodia

(2014) Tetsuji Ota et al.   Remote Sensing

Predicting live and dead tree basal area of bark beetle affected forests from discrete-return lidar

(2013) Benjamin C. Bright et al.   CANADIAN JOURNAL OF REMOTE SENSING

Retrieval of Forest Aboveground Biomass and Stem Volume with Airborne Scanning LiDAR

(2013) Ville Kankare et al.   Remote Sensing

Classification of savanna tree species, in the Greater Kruger National Park region, by integrating hyperspectral and LiDAR data in a Random Forest data mining environment

(2012) L. Naidoo et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Quantifying aboveground forest carbon pools and fluxes from repeat LiDAR surveys

(2012) Andrew T. Hudak et al.   REMOTE SENSING OF ENVIRONMENT

Characterizing forest canopy structure with lidar composite metrics and machine learning

(2011) Kaiguang Zhao et al.   REMOTE SENSING OF ENVIRONMENT

Object-oriented mapping of landslides using Random Forests

(2011) André Stumpf et al.   REMOTE SENSING OF ENVIRONMENT

Uncertainty in timber assortment estimates predicted from forest inventory data

(2010) Markus Holopainen et al.   EUROPEAN JOURNAL OF FOREST RESEARCH

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

Gradient modeling of conifer species using random forests

(2009) Jeffrey S. Evans et al.   LANDSCAPE ECOLOGY

LiDAR Utility for Natural Resource Managers

(2009) Andrew Thomas Hudak et al.   Remote Sensing

The use of airborne laser scanning to estimate sawlog volumes

(2008) K. Lauri et al.   FORESTRY

Machine Learning Methods Without Tears: A Primer for Ecologists

(2008) Julian D. Olden et al.   QUARTERLY REVIEW OF BIOLOGY

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

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