气候变化领域集成服务门户(CCPortal): Global Wildfire Danger Predictions Based on Deep Learning Taking into Account Static and Dynamic Variables

CCPortal

DOI	10.3390/f15010216
	Global Wildfire Danger Predictions Based on Deep Learning Taking into Account Static and Dynamic Variables
	Ji, Yuheng; Wang, Dan; Li, Qingliang; Liu, Taihui; Bai, Yu
发表日期	2024
EISSN	1999-4907
起始页码	15
结束页码	1
卷号	15 期号:1
英文摘要	Climate change will intensify the danger of wildfires, significantly impacting human life. Deep Learning (DL) has been extensively applied in wildfire prediction research. In the realm of wildfire prediction, previous deep learning methods have overlooked the inherent differences between static positional information and dynamic variables. Additionally, most existing deep learning models have not integrated the global system characteristics of the Earth's features and teleconnection during the learning phase. Here, we propose a static location-aware ConvLSTM (SLA-ConvLSTM) model that is aware of static positional elements and interconnected with global information and teleconnection. The model we propose can discern the influence of dynamic variables across various geographical locations on predictive outcomes. Compared with other deep learning models, our SLA-ConvLSTM model has achieved commendable performance. The outcomes indicate that the collaborative interplay of spatiotemporal features and the extraction of static positional information present a promising technique for wildfire prediction. Moreover, the incorporation of climate indices and global feature variables enhances the predictive capability of the model in wildfire prediction.
英文关键词	deep learning; wildfire; spatiotemporal; SLA-ConvLSTM
语种	英语
WOS研究方向	Forestry
WOS类目	Forestry
WOS记录号	WOS:001149128200001
来源期刊	FORESTS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/293535
作者单位	Beihua University; Changchun Normal University
推荐引用方式 GB/T 7714	Ji, Yuheng,Wang, Dan,Li, Qingliang,et al. Global Wildfire Danger Predictions Based on Deep Learning Taking into Account Static and Dynamic Variables[J],2024,15(1).
APA	Ji, Yuheng,Wang, Dan,Li, Qingliang,Liu, Taihui,&Bai, Yu.(2024).Global Wildfire Danger Predictions Based on Deep Learning Taking into Account Static and Dynamic Variables.FORESTS,15(1).
MLA	Ji, Yuheng,et al."Global Wildfire Danger Predictions Based on Deep Learning Taking into Account Static and Dynamic Variables".FORESTS 15.1(2024).