Kiris, Onur;
Brennan, Paul V;
Lok, Lai Bun;
Amiri, Amin D;
McElwaine, Jim N;
De Angelis, Silvio;
(2024)
An Adaptive Volcanic Eruption Detector to Automate Pyroclastic Flow Monitoring.
In:
IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium.
(pp. pp. 384-388).
IEEE: Athens, Greece.
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Abstract
A power-efficient, adaptive and IoT-based volcanic eruption detector is realised to provide a robust trigger mechanism for a custom-built radar for pyroclastic flow monitoring. The design, simulation and testing of the detector, and its performance measured at Volcano Santiaguito in Guatemala over a three-month deployment are described in detail. The proposed detector controls the radar system and enables a fully automated remote sensing operation with a power consumption of 0.5 W. Typically, around 70% detection accuracy is obtained with almost no false detections and up to 80% less power consumption compared to continual capturing.
| Type: | Proceedings paper |
|---|---|
| Title: | An Adaptive Volcanic Eruption Detector to Automate Pyroclastic Flow Monitoring |
| Event: | IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium |
| Dates: | 7 Jul 2024 - 12 Jul 2024 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/igarss53475.2024.10642109 |
| Publisher version: | https://doi.org/10.1109/IGARSS53475.2024.10642109 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Volcanic eruption detector, PDC monitoring, radar |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10197780 |
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