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Updated: Jun 5, 2025

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
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Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

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基于离散卷积的地球观测数据处理时间序列的计算框架:全球规模的Landsat历史无云聚合物,空间分辨率为30米

Davide Consoli1, Leandro Parente1, Rolf Simoes1

  • 1OpenGeoHub Foundation, Doorwerth, Netherlands.

PeerJ
|December 9, 2024
PubMed
概括

我们开发了一个新的框架,TSIRF (时间序列代无重建框架),以有效处理大型地球观测 (EO) 数据集. 这使得无云,重建的全球Landsat数据可用于机器学习和环境分析.

关键词:
分析准备数据 (ARD)离散的卷积离散的卷积地球观测数据 地球观测数据填补差距 - 填补差距的方法地理信息系统 (GIS) 是一个地理信息系统.高性能计算 (HPC) 是一种高性能计算.计入计算是指计入计算的方法.陆地卫星 (Landsat) 是一个地球卫星.时间序列处理时间序列处理.时间序列重建的时间序列重建.

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