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...
Hlavní autoři: | Bugliaro, L, Piontek, D, Kox, S, Grainger, RG |
---|---|
Médium: | Journal article |
Jazyk: | English |
Vydáno: |
Copernicus Publications
2022
|
Podobné jednotky
-
The New Volcanic Ash Satellite Retrieval VACOS Using MSG/SEVIRI and Artificial Neural Networks: 1. Development
Autor: Dennis Piontek, a další
Vydáno: (2021-08-01) -
The New Volcanic Ash Satellite Retrieval VACOS Using MSG/SEVIRI and Artificial Neural Networks: 2. Validation
Autor: Dennis Piontek, a další
Vydáno: (2021-08-01) -
Cirrus cloud retrieval with MSG/SEVIRI using artificial neural networks
Autor: J. Strandgren, a další
Vydáno: (2017-09-01) -
Diurnal evolution of cloud base heights in convective cloud fields from MSG/SEVIRI data
Autor: R. Meerkötter, a další
Vydáno: (2009-03-01) -
Combining MWL and MSG SEVIRI Satellite Signals for Rainfall Detection and Estimation
Autor: Kingsley K. Kumah, a další
Vydáno: (2020-08-01)