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...
Main Authors: | Bugliaro, L, Piontek, D, Kox, S, Grainger, RG |
---|---|
Formato: | Journal article |
Idioma: | English |
Publicado em: |
Copernicus Publications
2022
|
Registos relacionados
-
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
Por: L. Bugliaro, et al.
Publicado em: (2022-03-01) -
The New Volcanic Ash Satellite Retrieval VACOS Using MSG/SEVIRI and Artificial Neural Networks: 1. Development
Por: Dennis Piontek, et al.
Publicado em: (2021-08-01) -
The New Volcanic Ash Satellite Retrieval VACOS Using MSG/SEVIRI and Artificial Neural Networks: 2. Validation
Por: Dennis Piontek, et al.
Publicado em: (2021-08-01) -
Characterisation of the artificial neural network CiPS for cirrus cloud remote sensing with MSG/SEVIRI
Por: J. Strandgren, et al.
Publicado em: (2017-11-01) -
Cirrus cloud retrieval with MSG/SEVIRI using artificial neural networks
Por: J. Strandgren, et al.
Publicado em: (2017-09-01)