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Updated: Jan 17, 2026

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
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每小时每小时 PM 2.5 地图使用地球静止卫星

Seohui Park1,2, Alqamah Sayeed3,4, Junhyeon Seo1,2

  • 1Goddard Earth Sciences Technology and Research (GESTAR) II, Morgan State University, Baltimore, Maryland 21251, United States.

ACS ES&T air
|September 18, 2025
PubMed
概括

本研究使用卫星数据和机器学习来估计地面细颗粒物 (PM2.5) 度. 通过使用TEMPO卫星数据增强的深度神经网络模型显著提高了准确性,特别是在野火烟雾事件期间.

关键词:
监测PM2.5的监测是非常重要的.时间表 时间表数据融合数据融合深度学习是一种深度学习.地静止卫星 (Geostationary Satellite) 是一个地静止卫星.

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