Deep learning modeling of human activity affected wildfire risk by incorporating structural features: A case study in eastern China

Deep learning modeling of human activity affected wildfire risk by incorporating structural features: A case study in eastern China

Wildfire risk prediction is a critical component of disaster prevention and mitigation, often closely associated with local human activities in most regions. Recent studies demonstrate that employing joint modeling techniques using diverse datasets alongside Convolutional Neural Networks-Long Short-...

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Bibliographic Details
Main Authors: Zhonghua He, Gaofeng Fan, Zhengquan Li, Shaohong Li, Ling Gao, Xiang Li, Zhao-Cheng Zeng
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Ecological Indicators
Subjects:
Wildfire risk prediction
Deep learning
ConvLSTM
Vision Transformer
Attention mechanism
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X24004035

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http://www.sciencedirect.com/science/article/pii/S1470160X24004035

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