Comparing Accuracy of Wildfire Spread Prediction Models under Different Data Deficiency Conditions

Comparing Accuracy of Wildfire Spread Prediction Models under Different Data Deficiency Conditions

Wildfire is one of the most severe natural disasters globally, profoundly affecting natural ecology, economy, and health and safety. Precisely predicting the spread of wildfires has become an important research topic. Current fire spread prediction models depend on inputs from a variety of geographi...

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Bibliographic Details
Main Authors: Jiahao Zhou, Wenyu Jiang, Fei Wang, Yuming Qiao, Qingxiang Meng
Format: Article
Language:English
Published: MDPI AG 2024-04-01
Series:Fire
Subjects:
wildfire spread prediction model
data gap
robustness test
uncertainty analysis
evaluation metrics
Online Access:https://www.mdpi.com/2571-6255/7/4/141

Internet

https://www.mdpi.com/2571-6255/7/4/141

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