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A Bayesian Approach to Estimating Seemingly Unrelated Regression for Tree Biomass Model Systems
Bayesian approaches seemingly unrelated regression Korean larch Markov chain Monte Carlo Gibbs sampler
2024/1/19
Accurate estimation of tree biomass is required for accounting for and monitoring forest carbon stocking. Allometric biomass equations constructed by classical statistical methods are widely used to p...
Fractional Vegetation Cover Estimation Algorithm for FY-3B Reflectance Data Based on Random Forest Regression Method
fractional vegetation cover FY-3B reflectance data random forest regression method
2023/12/8
As an important land surface vegetation parameter, fractional vegetation cover (FVC) has been widely used in many Earth system ecological and climate models. In particular, high-quality and reliable F...
Deforestation modelling using logistic regression and GIS
manmade areas physiographic factors
2015/5/18
A methodology has been used by means of which modellers and planners can quantify the certainty in
predicting the location of deforestation. Geographic information system and logistic regression ana...
Detrending ability of several regression equations in tree-ring research: a case study based on tree-ring data of Norway spruce (Picea abies [L.])
radial increment growth functions empirical fitting tree-ring indices dendroclimatology
2015/3/27
The aim of this study was to investigate tree-ring width variability and to distinguish groups of trees with similar growth trends in order to study tree growth responses to various stand and site con...
Logistic regression approach to the prediction of tree defoliation caused by sawflies (Hymenoptera: Symphyta)
Cephalcia lariciphila soil samples Tomostethus nigritus yellow sticky boards tree defoliation logistic regression
2015/2/2
A relationship between the abundance of phytophagous insects assessed from soil samples (in the case of Cephalcia lariciphila) or yellow sticky boards (in the case of T. nigritus) and percentage of de...