VADUGS: A neural network for the remote sensing of volcanic ash with MSG/SEVIRI trained with synthetic thermal satellite observations simulated with a radiative transfer model
After the eruption of volcanoes around the world, monitoring of the dispersion of ash in the atmosphere is an important task for satellite remote sensing since ash represents a threat to air traffic. In this work we present a novel method, tailored for Eyjafjallajökull ash but applicable to other er...
Asıl Yazarlar: | Bugliaro, L, Piontek, D, Kox, S, Grainger, RG |
---|---|
Materyal Türü: | Journal article |
Dil: | English |
Baskı/Yayın Bilgisi: |
Copernicus Publications
2022
|
Benzer Materyaller
-
The New Volcanic Ash Satellite Retrieval VACOS Using MSG/SEVIRI and Artificial Neural Networks: 1. Development
Yazar:: Dennis Piontek, ve diğerleri
Baskı/Yayın Bilgisi: (2021-08-01) -
The New Volcanic Ash Satellite Retrieval VACOS Using MSG/SEVIRI and Artificial Neural Networks: 2. Validation
Yazar:: Dennis Piontek, ve diğerleri
Baskı/Yayın Bilgisi: (2021-08-01) -
Cirrus cloud retrieval with MSG/SEVIRI using artificial neural networks
Yazar:: J. Strandgren, ve diğerleri
Baskı/Yayın Bilgisi: (2017-09-01) -
Diurnal evolution of cloud base heights in convective cloud fields from MSG/SEVIRI data
Yazar:: R. Meerkötter, ve diğerleri
Baskı/Yayın Bilgisi: (2009-03-01) -
Combining MWL and MSG SEVIRI Satellite Signals for Rainfall Detection and Estimation
Yazar:: Kingsley K. Kumah, ve diğerleri
Baskı/Yayın Bilgisi: (2020-08-01)