Characterization of Historical Aerosol Optical Depth Dynamics Using LSTM and Peak Enhancement Techniques
This study addresses the challenges of characterizing aerosol optical depth (AOD) dynamics from satellite observations, which are often hindered by data gaps and variability. A long short-term memory (LSTM) network was trained on an extended AOD dataset from Sicily to capture temporal patterns. The...
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| Автори: | , , , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
MDPI AG
2025-06-01
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| Серія: | Atmosphere |
| Предмети: | |
| Онлайн доступ: | https://www.mdpi.com/2073-4433/16/6/743 |
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