Advanced Deep Learning Approaches for Forecasting High-Resolution Fire Weather Index (FWI) over CONUS: Integration of GNN-LSTM, GNN-TCNN, and GNN-DeepAR

Advanced Deep Learning Approaches for Forecasting High-Resolution Fire Weather Index (FWI) over CONUS: Integration of GNN-LSTM, GNN-TCNN, and GNN-DeepAR

Wildfires in the United States have increased in frequency and severity over recent decades, driven by climate change, altered weather patterns, and accumulated flammable materials. Accurately forecasting the Fire Weather Index (FWI) is crucial for mitigating wildfire risks and protecting ecosystems...

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Bibliographic Details
Main Authors: Shihab Ahmad Shahriar, Yunsoo Choi, Rashik Islam
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Remote Sensing
Subjects:
FWI
GNN
GNN-LSTM
CONUS
GNN-TCNN
deep learning
Online Access:https://www.mdpi.com/2072-4292/17/3/515

Internet

https://www.mdpi.com/2072-4292/17/3/515

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