Near Real-Time Monitoring of Fire Spots Using a Novel SBT-FireNet Based on Himawari-8 Satellite Images

Near Real-Time Monitoring of Fire Spots Using a Novel SBT-FireNet Based on Himawari-8 Satellite Images

Detailed and timely monitoring of the location and intensity of the fire is critical to reducing the destructive impacts of a fire. Satellite imagery platforms, in particular geostationary satellites with high temporal resolution, allow for real-time fire monitoring. However, because of the coarse r...

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Bibliographic Details
Main Authors: Zhonghua Hong, Zhizhou Tang, Haiyan Pan, Yuewei Zhang, Zongsheng Zheng, Ruyan Zhou, Yun Zhang, Yanling Han, Jing Wang, Shuhu Yang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional neural network (CNN)
deep learning
LSTM
near-real-time monitoring
transformer
wildfire
Online Access:https://ieeexplore.ieee.org/document/10336905/

Internet

https://ieeexplore.ieee.org/document/10336905/

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