An LSTM deep learning framework for history-based tornado prediction using meteorological data and damage assessment using NDVI anomalies
Extreme weather patterns can affect ground and satellite sensors before and after their occur. This study focused on tornadoes that occurred on December 10 and 11, 2021 in the state of Kentucky. The main goal of this research was to develop a deep learning algorithm based on history to predict this...
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| Main Author: | Omid Memarian Sorkhabi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
|
| Series: | Results in Earth Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S221171482400027X |
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