Enhancing prediction of wildfire occurrence and behavior in Alaska using spatio-temporal clustering and ensemble machine learning

Enhancing prediction of wildfire occurrence and behavior in Alaska using spatio-temporal clustering and ensemble machine learning

Wildfires are an integral part of Alaska’s ecological landscape, shaping its boreal forests and tundra. However, recent shifts in wildfire frequency, intensity, and seasonality pose unprecedented challenges for fire management in Alaska’s remote and ecologically vulnerable regions. This study addres...

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Bibliographic Details
Main Authors: A. Ahajjam, M. Allgaier, R. Chance, E. Chukwuemeka, J. Putkonen, T. Pasch
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Ecological Informatics
Subjects:
Wildfires
Alaska
Permafrost lanscape
Machine learning
Deep learning
Feature selection
Online Access:http://www.sciencedirect.com/science/article/pii/S1574954124005053
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