Advanced Technologies in Monitoring of Volcanic Clouds with GNSS
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Geology, Geomorphology and Hydrology".
Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 410
Special Issue Editors
Interests: remote sensing; detection and characteristion of hazardous clouds (volcanic emission, duststorm, smoke from wildfire) from UV-vis and IR hyperspectral sensors; GNSS meteorology
Interests: remote sensing; volcanic clouds; convection; tropical cyclones; GNSS radio occultation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The volcanic emission of hazardous gas and ash into the atmosphere poses a worldwide risk to human society. It can impact the health of and threaten local population, but it is also a major risk for the safety of air traffic. Volcanic clouds can also contribute to the natural damaging of the atmosphere and the Earth’s climate. In order to enhance the monitoring of these problems, this Special Issue invites studies aiming at characterising volcanic clouds. Using GNSS ground-based and/or radio-occultation techniques, this characterisation can rely on retrieving the composition of the volcanic emission and its plume height, thickness and density. Such studies can include observations of the ground-deformation and the seismicity, the understanding of the mechanisms of an eruption using multi-techniques, and the analysis of the composition of gas emissions. SNR data analysis can demonstrate daily repeatability and seasonal trends that indicate a strong dependence of multipath error on changes in the antenna environment, but it can also be an indicator of sudden variation in the composition and the height of volcanic clouds. The implementation of new GNSS products (using propagation delay and post-fit one-way residuals, SNR or C/N0 data) characterising the volcanic cloud can be explored in synergy with other observations from ground-based instruments or hyperspectral and broadband sensors on-board polar orbiting and geostationary satellites. Study combining GNSS solutions (from radio occultation and ground-based observations) to retrieve continuous 3D properties of volcanic plume with tomographic technique can also be investigated and compared with other techniques.
Dr. Hugues Brenot
Dr. Riccardo Biondi
Guest Editors
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Keywords
- Propagation delay
- Post-fit one-way residuals
- Bending angle anomaly
- Refractivity anomaly
- Signal-to-noise ratio (SNR)
- Carrier-to-noise density (C/N0)
