… LiDAR data for forest biomass estimation. ► We examine three machine learning approaches
to forest biomass estimation. ► We estimate forest biomass at both individual tree and …

… The study of grasslands using machine learning (ML) … applied to aboveground biomass
(AGB) estimation in grassland … , namely the relation between estimation performance and the ML …

… In contrast, the results obtained by machine learning methods in this study were better,
and the XGBoost algorithm had a good performance in AGB estimation and could reduce …

… forest biomass estimation by integrating remotely sensed data with field inventory data with
the aid of a machine learning … spectral and texture variables to estimate forest AGB. Using a …

… Aboveground biomass was estimated by combining C-band … Decision tree-based machine
learning algorithms were used in place … in estimating dense forest AGB and machine learning …

… impact of stratified class models on biomass estimation. In this study, both the classification
and biomass simulation of different machine-learning approaches were investigated to find if …

… Machine Learning Regression Algorithms This section presents a brief overview of the machine
learning … the performances of machine learning algorithms for estimating forest AGB, this …

… biomass using remotely sensed data and machine learning … biomass equations, and a suite
of machine learning techniques were used to develop spatial models of mangrove biomass. …

… , the application of machine learning models has largely focused on crop yield estimation
[6,… performance of four machine learning models in estimating the corn biomass of the whole …

… In this work, we have proposed a study of the machine learning approaches in UAV
multispectral images to build a Brazilian wheat biomass estimation model. To achieve that, we …