Comparison of Artificial Intelligence Algorithms and Remote Sensing for Modeling Pine Bark Beetle Susceptibility in Honduras

Comparison of Artificial Intelligence Algorithms and Remote Sensing for Modeling Pine Bark Beetle Susceptibility in Honduras

The pine bark beetle is a devastating forest pest, causing significant forest losses worldwide, including 25% of pine forests in Honduras. This study focuses on <i>Dendroctonus frontalis</i> and <i>Ips</i> spp., which have affected four of the seven native pine species in Hon...

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Bibliographic Details
Main Authors: Omar Orellana, Marco Sandoval, Erick Zagal, Marcela Hidalgo, Jonathan Suazo-Hernández, Leandro Paulino, Efrain Duarte
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Remote Sensing
Subjects:
random forest
gradient boosting
maximum entropy
artificial intelligence
covariates
pine bark beetle
Online Access:https://www.mdpi.com/2072-4292/17/5/912
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