19 citations as recorded by crossref.

1. A neural network approach for the simultaneous retrieval of volcanic ash parameters and SO<sub>2</sub> using MODIS data A. Piscini et al. 10.5194/amt-7-4023-2014
2. Evolution of the 2011 Mt. Etna ash and SO2 lava fountain episodes using SEVIRI data and VPR retrieval approach L. Guerrieri et al. 10.1016/j.jvolgeores.2014.12.016
3. Simultaneous retrieval of volcanic sulphur dioxide and plume height from hyperspectral data using artificial neural networks A. Piscini et al. 10.1093/gji/ggu152
4. A retrospective analysis of the Shinmoedake (Japan) eruption of 26–27 January 2011 by means of Japanese geostationary satellite data F. Marchese et al. 10.1016/j.jvolgeores.2013.10.011
5. Satellite retrieval of aerosol microphysical and optical parameters using neural networks: a new methodology applied to the Sahara desert dust peak M. Taylor et al. 10.5194/amt-7-3151-2014
6. Use of neural networks in ground-based aerosol retrievals from multi-angle spectropolarimetric observations A. Di Noia et al. 10.5194/amt-8-281-2015
7. A New Data Fusion Neural Network Scheme for Rainfall Retrieval Using Passive Microwave and Visible/Infrared Satellite Data M. Sist et al. 10.3390/app11104686
8. Predicting the extent of the volcanic ash dispersion using GOCI image and HYSPLIT model - A case study of the 17 Sep, 2013 eruption in SAKURAJIMA volcano - S. Lee et al. 10.7780/kjrs.2014.30.2.12
9. Retrieving Volcanic Ash Top Height through Combined Polar Orbit Active and Geostationary Passive Remote Sensing Data W. Zhu et al. 10.3390/rs12060953
10. Automatic volcanic ash detection from MODIS observations using a back-propagation neural network T. Gray & R. Bennartz 10.5194/amt-8-5089-2015
11. The New Volcanic Ash Satellite Retrieval VACOS Using MSG/SEVIRI and Artificial Neural Networks: 1. Development D. Piontek et al. 10.3390/rs13163112
12. Review of Thermal Infrared Applications and Requirements for Future High-Resolution Sensors J. Sobrino et al. 10.1109/TGRS.2015.2509179
13. A Novel Vision-Based Classification System for Explosion Phenomena S. Abusaleh et al. 10.3390/jimaging3020014
14. Nonlinear Spectral Unmixing for the Characterisation of Volcanic Surface Deposit and Airborne Plumes from Remote Sensing Imagery G. Licciardi et al. 10.3390/geosciences7030046
15. The Art of Reading Explosion Phenomena: Science and Algorithms S. Abusaleh et al. 10.1109/ACCESS.2017.2780277
16. Ensemble-Based Data Assimilation of Volcanic Ash Clouds from Satellite Observations: Application to the 24 December 2018 Mt. Etna Explosive Eruption F. Pardini et al. 10.3390/atmos11040359
17. Predicting the hazard area of the volcanic ash caused by Mt. Ontake Eruption S. Lee & C. Lee 10.7780/kjrs.2014.30.6.8
18. A multi-scale hybrid neural network retrieval model for dust storm detection, a study in Asia M. Wong et al. 10.1016/j.atmosres.2015.02.006
19. Retrieval of dust storm aerosols using an integrated Neural Network model F. Xiao et al. 10.1016/j.cageo.2015.02.016