Prediction of Forest Fire Spread Rate Using UAV Images and an LSTM Model Considering the Interaction between Fire and Wind

Prediction of Forest Fire Spread Rate Using UAV Images and an LSTM Model Considering the Interaction between Fire and Wind

Modeling forest fire spread is a very complex problem, and the existing models usually need some input parameters which are hard to get. How to predict the time series of forest fire spread rate based on passed series may be a key problem to break through the current technical bottleneck. In the pro...

Full description

Saved in:
Bibliographic Details
Main Authors: Xingdong Li, Hewei Gao, Mingxian Zhang, Shiyu Zhang, Zhiming Gao, Jiuqing Liu, Shufa Sun, Tongxin Hu, Long Sun
Format: article
Language:EN
Published: MDPI AG 2021
Subjects:
UAV remote sensing
forest fire
fire spread modelling
LSTM
wind prediction
Science
Q
Online Access:https://doaj.org/article/797219ca3a504f9782a0df5107c41d23
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doaj.org/article/797219ca3a504f9782a0df5107c41d23

Similar Items