24 citations as recorded by crossref.

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9. Review of Thermal Infrared Applications and Requirements for Future High-Resolution Sensors J. Sobrino et al. 10.1109/TGRS.2015.2509179
10. A Novel Vision-Based Classification System for Explosion Phenomena S. Abusaleh et al. 10.3390/jimaging3020014
11. The Art of Reading Explosion Phenomena: Science and Algorithms S. Abusaleh et al. 10.1109/ACCESS.2017.2780277
12. 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
13. 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
14. 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
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16. 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
17. Retrieving Volcanic Ash Top Height through Combined Polar Orbit Active and Geostationary Passive Remote Sensing Data W. Zhu et al. 10.3390/rs12060953
18. Automatic volcanic ash detection from MODIS observations using a back-propagation neural network T. Gray & R. Bennartz 10.5194/amt-8-5089-2015
19. The New Volcanic Ash Satellite Retrieval VACOS Using MSG/SEVIRI and Artificial Neural Networks: 1. Development D. Piontek et al. 10.3390/rs13163112
20. Nonlinear Spectral Unmixing for the Characterisation of Volcanic Surface Deposit and Airborne Plumes from Remote Sensing Imagery G. Licciardi et al. 10.3390/geosciences7030046
21. Volcanic cloud detection using Sentinel-3 satellite data by means of neural networks: the Raikoke 2019 eruption test case I. Petracca et al. 10.5194/amt-15-7195-2022
22. Predicting the hazard area of the volcanic ash caused by Mt. Ontake Eruption S. Lee & C. Lee 10.7780/kjrs.2014.30.6.8
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