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Modelling height-diameter relationships in complex tropical rain forest ecosystems using deep learning algorithm
Modelling tree height-diameter relationships in complex tropical rain forest ecosystems
remains a challenge because of characteristics of multi-species, multi-layers, and …
remains a challenge because of characteristics of multi-species, multi-layers, and …
A comparison between derivative and numerical optimization methods used for diameter distribution estimation
Modeling diameter distribution of forest stands requires suitable function (s) with the
appropriate parameter estimation methods. To date, the parameters of most familiar …
appropriate parameter estimation methods. To date, the parameters of most familiar …
[HTML][HTML] A nonlinear mixed-effects tree height prediction model: Application to Pinus pinaster Ait in Northwest Spain
This study introduced a new height prediction model based on the modification of power
function distribution. The model was fitted to the Pinus pinaster Ait (Maritime pine) data set …
function distribution. The model was fitted to the Pinus pinaster Ait (Maritime pine) data set …
[HTML][HTML] Allometric model for height estimation of Alnus acuminata Kunth in agroecological zones of the high Andean tropics
The complexity in the management of field tools for recording dasometric information has led
to the use of allometric equations that save time, work, and costs allowing the estimation of …
to the use of allometric equations that save time, work, and costs allowing the estimation of …
A mixed-effects height-diameter model for Gmelina arborea Roxb stands in Southwest Nigeria
Nonlinear mixed-effects (NLME) is an important tool for explaining inter-and intra-plot/stand
variations, especially when modelling height–diameter relationships. The NLME technique …
variations, especially when modelling height–diameter relationships. The NLME technique …
An evaluation of ten estimators for fitting two-parameter weibull function to Nigerian forest stands
The quality fit produce by distribution function such as the Weibull depends to an extent the
type of estimator used to derive its parameters. Inappropriate choice of estimator could affect …
type of estimator used to derive its parameters. Inappropriate choice of estimator could affect …