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...

תיאור מלא

מידע ביבליוגרפי
Main Authors: A. Ahajjam, M. Allgaier, R. Chance, E. Chukwuemeka, J. Putkonen, T. Pasch
פורמט: Article
שפה:English
יצא לאור: Elsevier 2025-03-01
סדרה:Ecological Informatics
נושאים:
Wildfires
Alaska
Permafrost lanscape
Machine learning
Deep learning
Feature selection
גישה מקוונת:http://www.sciencedirect.com/science/article/pii/S1574954124005053

אינטרנט

http://www.sciencedirect.com/science/article/pii/S1574954124005053

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