Novel Intelligent Spatiotemporal Grid Earthquake Early-Warning Model

Novel Intelligent Spatiotemporal Grid Earthquake Early-Warning Model

The integration analysis of multi-type geospatial information poses challenges to existing spatiotemporal data organization models and analysis models based on deep learning. For earthquake early warning, this study proposes a novel intelligent spatiotemporal grid model based on GeoSOT (SGMG-EEW) fo...

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Bibliographic Details
Main Authors: Daoye Zhu, Yi Yang, Fuhu Ren, Shunji Murai, Chengqi Cheng, Min Huang
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Remote Sensing
Subjects:
GeoSOT spatiotemporal grid
data organization model
3D group convolution
atmospheric anomaly
earthquake early warning
Online Access:https://www.mdpi.com/2072-4292/13/17/3426

Internet

https://www.mdpi.com/2072-4292/13/17/3426

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