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FireCluster: A multi-source satellite active fire data clustering algorithm for comprehensive wildfire event identification

delete2026-04-06
delete0
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OA
AI
R
Rongxin Chen
X
Xue Rui
J
Jun Zhang
W
Weiguo Song *
DOI：10.1016/j.srs.2026.100423delete
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摘要

摘要

En 中文
• 通过两阶段层次密度聚类集成MODIS、VIIRS、Landsat-8和Himawari-8。 • 采用自适应时空邻域来减少因分辨率不匹配导致的火灾遗漏。 • 将野火召回率从∼15%（ST-DBSCAN/HDBSCAN）提升至44.12%，在高峰季节达到63.25%。 • 基于2020年中国大陆数据和四川凉山案例进行验证，实现了更精细的事件重构。
Keyword:
Wildfire identification
Cluster analysis
Active fire
Data multi-source fusion
AI总结

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期刊

Science of Remote Sensing 封面图
Science of Remote Sensing
IF:
5.2
论文数:
517
被引数:
980

机构

U
university of science and technology of china
学者数:
1.0W
论文数: 3.9K
被引数: 3
N
Nanjing University of Information Science and Technology
学者数:
2.9K
论文数: 1.2K
被引数: 1.7W
引用论文

引用论文

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