Spatial predictions of tree density and tree height across Mexico forests using ensemble learning and forest inventory data

Spatial predictions of tree density and tree height across Mexico forests using ensemble learning and forest inventory data

Abstract The National Forestry Commission of Mexico continuously monitors forest structure within the country's continental territory by the implementation of the National Forest and Soils Inventory (INFyS). Due to the challenges involved in collecting data exclusively from field surveys, there...

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Bibliographic Details
Main Authors: Aylin Barreras, José Armando Alanís de la Rosa, Rafael Mayorga, Rubi Cuenca, César Moreno‐G, Carlos Godínez, Carina Delgado, Maria de los Ángeles Soriano‐Luna, Stephanie George, Metzli Ileana Aldrete‐Leal, Sandra Medina, Johny Romero, Sergio Villela, Andrew Lister, Rachel Sheridan, Rafael Flores, Thomas W. Crowther, Mario Guevara
Format: Article
Language:English
Published: Wiley 2023-05-01
Series:Ecology and Evolution
Subjects:
ensemble machine learning
forest inventory
spatial prediction
tree density
tree height
Online Access:https://doi.org/10.1002/ece3.10090

Internet

https://doi.org/10.1002/ece3.10090

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