Understanding forest insect outbreak dynamics: a comparative analysis of machine learning techniques
Accurate modeling and simulation of forest land cover change resulting from epidemic insect outbreaks play a crucial role in equipping scientists and forest managers with essential insights. These insights enable proactive planning and the formulation of effective strategies to mitigate the impact o...
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Main Authors: | Roberto Molowny-Horas, Saeed Harati-Asl, Liliana Perez |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2025-07-01
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Series: | Geo-spatial Information Science |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/10095020.2025.2529992 |
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