Combined Impact of Sample Size and Modeling Approaches for Predicting Stem Volume in Eucalyptus spp. Forest Plantations Using Field and LiDAR Data
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Combined Impact of Sample Size and Modeling Approaches for Predicting Stem Volume in Eucalyptus spp. Forest Plantations Using Field and LiDAR Data
Authors
Keywords
-
Journal
Remote Sensing
Volume 12, Issue 9, Pages 1438
Publisher
MDPI AG
Online
2020-05-05
DOI
10.3390/rs12091438
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Measuring Individual Tree Diameter and Height Using GatorEye High-Density UAV-Lidar in an Integrated Crop-Livestock-Forest System
- (2020) Ana Paula Dalla Corte et al. Remote Sensing
- ForestGapR: An R Package for Forest Gap Analysis from Canopy Height Models
- (2019) Carlos Alberto Silva et al. Methods in Ecology and Evolution
- Assessment of Individual Tree Detection and Canopy Cover Estimation using Unmanned Aerial Vehicle based Light Detection and Ranging (UAV-LiDAR) Data in Planted Forests
- (2019) Xiangqian Wu et al. Remote Sensing
- A Comparative Assessment of the Performance of Individual Tree Crowns Delineation Algorithms from ALS Data in Tropical Forests
- (2019) Mélaine Aubry-Kientz et al. Remote Sensing
- A Comparison of Two Tree Detection Methods for Estimation of Forest Stand and Ecological Variables from Airborne LiDAR Data in Central European Forests
- (2019) Ivan Sačkov et al. Remote Sensing
- Optimizing individual tree detection accuracy and measuring forest uniformity in coconut (Cocos nucifera L.) plantations using airborne laser scanning
- (2019) Midhun Mohan et al. ECOLOGICAL MODELLING
- Estimating Stand Height and Tree Density in Pinus taeda plantations using in-situ data, airborne LiDAR and k-Nearest Neighbor Imputation
- (2018) CARLOS ALBERTO SILVA et al. ANAIS DA ACADEMIA BRASILEIRA DE CIENCIAS
- The effect of machine learning regression algorithms and sample size on individualized behavioral prediction with functional connectivity features
- (2018) Zaixu Cui et al. NEUROIMAGE
- Integrating Airborne LiDAR and Optical Data to Estimate Forest Aboveground Biomass in Arid and Semi-Arid Regions of China
- (2018) Luodan Cao et al. Remote Sensing
- Quantification of uncertainty in aboveground biomass estimates derived from small-footprint airborne LiDAR
- (2018) Qing Xu et al. REMOTE SENSING OF ENVIRONMENT
- Improving Individual Tree Crown Delineation and Attributes Estimation of Tropical Forests Using Airborne LiDAR Data
- (2018) Wan Wan Mohd Jaafar et al. Forests
- Effects of Sample Plot Size and GPS Location Errors on Aboveground Biomass Estimates from LiDAR in Tropical Dry Forests
- (2018) José Hernández-Stefanoni et al. Remote Sensing
- Most similar neighbor imputation of forest attributes using metrics derived from combined airborne LIDAR and multispectral sensors
- (2017) Ruben Valbuena et al. International Journal of Digital Earth
- Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery
- (2017) Phan Thanh Noi et al. SENSORS
- Predicting Stem Total and Assortment Volumes in an Industrial Pinus taeda L. Forest Plantation Using Airborne Laser Scanning Data and Random Forest
- (2017) Carlos Silva et al. Forests
- Linear mixed-effects models and calibration applied to volume models in two rotations of Eucalyptus grandis plantations
- (2016) Edgar de Souza Vismara et al. CANADIAN JOURNAL OF FOREST RESEARCH
- Comparing Modeling Methods for Predicting Forest Attributes Using LiDAR Metrics and Ground Measurements
- (2016) Joonghoon Shin 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
- Timber production assessment of a plantation forest: An integrated framework with field-based inventory, multi-source remote sensing data and forest management history
- (2016) Tian Gao et al. International Journal of Applied Earth Observation and Geoinformation
- Correlation and variable importance in random forests
- (2016) Baptiste Gregorutti et al. STATISTICS AND COMPUTING
- Comparing Modeling Methods for Predicting Forest Attributes Using LiDAR Metrics and Ground Measurements
- (2016) Joonghoon Shin 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
- CURVAS DE SÍTIO E RELAÇÕES HIPSOMÉTRICAS PARA Eucalyptus grandisNA REGIÃO DOS CAMPOS GERAIS, PARANÁ
- (2015) Fabiane Aparecida de Souza Retslaff et al. Cerne
- A performance comparison of machine learning methods to estimate the fast-growing forest plantation yield based on laser scanning metrics
- (2015) Eric Bastos Görgens et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape
- (2015) Kennedy Were et al. ECOLOGICAL INDICATORS
- Automatic registration of UAV-borne sequent images and LiDAR data
- (2015) Bisheng Yang et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- 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
- Dynamic growth and yield model including environmental factors for Eucalyptus nitens (Deane & Maiden) Maiden short rotation woody crops in Northwest Spain
- (2015) Marta González-García et al. NEW FORESTS
- Redução do erro amostral na estimativa do volume de povoamentos de Eucalyptus ssp. por meio de escaneamento laser aerotransportado
- (2015) Danitiele Cristina França Laranja et al. Scientia Forestalis
- Redução do erro amostral na estimativa do volume de povoamentos de Eucalyptus ssp. por meio de escaneamento laser aerotransportado
- (2015) Danitiele Cristina França Laranja et al. Scientia Forestalis
- yaImpute: AnRPackage forkNN Imputation
- (2015) Nicholas L. Crookston et al. Journal of Statistical Software
- Linear Mixed-Effects Models to Describe Individual Tree Crown Width for China-Fir in Fujian Province, Southeast China
- (2015) Xu Hao et al. PLoS One
- Imputing Forest Structure Attributes from Stand Inventory and Remotely Sensed Data in Western Oregon, USA
- (2014) Andrew T. Hudak et al. FOREST SCIENCE
- Estimating Forest Stand Age from LiDAR-Derived Predictors and Nearest Neighbor Imputation
- (2014) Etienne B. Racine et al. FOREST SCIENCE
- Köppen's climate classification map for Brazil
- (2014) Clayton Alcarde Alvares et al. METEOROLOGISCHE ZEITSCHRIFT
- Importance of sample size, data type and prediction method for remote sensing-based estimations of aboveground forest biomass
- (2014) F.E. Fassnacht et al. REMOTE SENSING OF ENVIRONMENT
- The Utility of Image-Based Point Clouds for Forest Inventory: A Comparison with Airborne Laser Scanning
- (2013) Joanne White et al. Forests
- Effects of lidar pulse density and sample size on a model-assisted approach to estimate forest inventory variables
- (2012) Jacob Strunk et al. CANADIAN JOURNAL OF REMOTE SENSING
- Airborne laser scanning of forest resources: An overview of research in Italy as a commentary case study
- (2012) Alessandro Montaghi et al. International Journal of Applied Earth Observation and Geoinformation
- Quantifying aboveground forest carbon pools and fluxes from repeat LiDAR surveys
- (2012) Andrew T. Hudak et al. REMOTE SENSING OF ENVIRONMENT
- ALS-based estimation of plot volume and site index in a eucalyptus plantation with a nonlinear mixed-effect model that accounts for the clone effect
- (2011) Petteri Packalén et al. ANNALS OF FOREST SCIENCE
- Characterizing forest canopy structure with lidar composite metrics and machine learning
- (2011) Kaiguang Zhao et al. REMOTE SENSING OF ENVIRONMENT
- Landscape-scale parameterization of a tree-level forest growth model: a k-nearest neighbor imputation approach incorporating LiDAR data
- (2010) Michael J. Falkowski et al. CANADIAN JOURNAL OF FOREST RESEARCH
- Estimating plot-level tree height and volume of Eucalyptus grandis plantations using small-footprint, discrete return lidar data
- (2010) S.G. Tesfamichael et al. PROGRESS IN PHYSICAL GEOGRAPHY
- A generalized nonlinear mixed-effects height–diameter model for Eucalyptus globulus L. in northwestern Spain
- (2009) Felipe Crecente-Campo et al. FOREST ECOLOGY AND MANAGEMENT
- Assessing effects of laser point density, ground sampling intensity, and field sample plot size on biophysical stand properties derived from airborne laser scanner data
- (2008) Terje Gobakken et al. CANADIAN JOURNAL OF FOREST RESEARCH
- Energy Product Options for Eucalyptus Species Grown as Short Rotation Woody Crops
- (2008) Donald Rockwood et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Nearest neighbor imputation of species-level, plot-scale forest structure attributes from LiDAR data
- (2008) Andrew T. Hudak et al. REMOTE SENSING OF ENVIRONMENT
- Lidar remote sensing of forest biomass: A scale-invariant estimation approach using airborne lasers
- (2008) Kaiguang Zhao et al. REMOTE SENSING OF ENVIRONMENT
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now