Methods for variable selection in LiDAR-assisted forest inventories

Comparing echo-based and canopy height model-based metrics for enhancing estimation of forest aboveground biomass in a model-assisted framework

(2016) Gherardo Chirici et al.   REMOTE SENSING OF ENVIRONMENT

A general method for assessing the effects of uncertainty in individual-tree volume model predictions on large-area volume estimates with a subtropical forest illustration

(2015) Ronald E. McRoberts et al.   CANADIAN JOURNAL OF FOREST RESEARCH

Comparison of uncertainty in per unit area estimates of aboveground biomass for two selected model sets

(2015) Michael Shettles et al.   FOREST ECOLOGY AND MANAGEMENT

A critical review of forest biomass estimation models, common mistakes and corrective measures

(2014) Gudeta W. Sileshi   FOREST ECOLOGY AND MANAGEMENT

Estimation for inaccessible and non-sampled forest areas using model-based inference and remotely sensed auxiliary information

(2014) Ronald E. McRoberts et al.   REMOTE SENSING OF ENVIRONMENT

How did we get here? An early history of forestry lidar1

(2013) Ross Nelson   CANADIAN JOURNAL OF REMOTE SENSING

Accuracy and Precision for Remote Sensing Applications of Nonlinear Model-Based Inference

(2013) Ronald E. McRoberts et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Evolutionary feature selection to estimate forest stand variables using LiDAR

(2013) Jorge Garcia-Gutierrez et al.   International Journal of Applied Earth Observation and Geoinformation

Data Combination and Feature Selection for Multi-source Forest Inventory

(2013) Reija Haapanen et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Above-Ground Biomass and Biomass Components Estimation Using LiDAR Data in a Coniferous Forest

(2013) Qisheng He et al.   Forests

Allometric equation choice impacts lidar-based forest biomass estimates: A case study from the Sierra National Forest, CA

(2012) Feng Zhao et al.   AGRICULTURAL AND FOREST METEOROLOGY

A new variable selection approach using Random Forests

(2012) A. Hapfelmeier et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Assessing the accuracy of regional LiDAR-based biomass estimation using a simulation approach

(2012) Liviu Theodor Ene et al.   REMOTE SENSING OF ENVIRONMENT

Inference for lidar-assisted estimation of forest growing stock volume

(2012) Ronald E. McRoberts et al.   REMOTE SENSING OF ENVIRONMENT

Estimating above-ground biomass in young forests with airborne laser scanning

(2011) Erik Næsset   INTERNATIONAL JOURNAL OF REMOTE SENSING

Measuring forest structure and biomass in New England forest stands using Echidna ground-based lidar

(2011) Tian Yao et al.   REMOTE SENSING OF ENVIRONMENT

Measuring effective leaf area index, foliage profile, and stand height in New England forest stands using a full-waveform ground-based lidar

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

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

Assessing general relationships between aboveground biomass and vegetation structure parameters for improved carbon estimate from lidar remote sensing

(2010) Wenge Ni-Meister et al.   JOURNAL OF GEOPHYSICAL RESEARCH

Variable selection using random forests

(2010) Robin Genuer et al.   PATTERN RECOGNITION LETTERS

Using remotely sensed data to construct and assess forest attribute maps and related spatial products

(2010) Ronald E. McRoberts et al.   SCANDINAVIAN JOURNAL OF FOREST RESEARCH

Conditional Variable Importance for Random Forests

(2008) Carolin Strobl et al.   BMC BIOINFORMATICS

Overfitting cautious selection of classifier ensembles with genetic algorithms

(2008) Eulanda M. Dos Santos et al.   Information Fusion

An approach to estimate carbon stocks change in forest carbon pools under the UNFCCC: the Italian case

(2008) S Federici et al.   iForest-Biogeosciences and Forestry