A geophone wireless sensor network for investigating glacier stick-slip motion
- Submitting institution
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University of Southampton
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 34084878
- Type
- D - Journal article
- DOI
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10.1016/j.cageo.2017.05.005
- Title of journal
- Computers & Geosciences
- Article number
- -
- First page
- 103
- Volume
- 105
- Issue
- -
- ISSN
- 0098-3004
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2017
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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5
- Research group(s)
-
-
- Citation count
- 7
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper reports on a world-first smart sensor network for geophones in glaciers, developing low power and signal processing algorithms. Previous systems did not detect events and were not Internet linked, leading to system failures and short recording periods. This paper contributed to next stage NERC proof of concept grant on further IoT research (NE/LE012405/1). After further data analysis it contributed to two journal papers ((doi:10.1002/esp.4611, doi:10.1038/s41467-019-09547-6), and to a portfolio of work for the first author’s American Geophysical Union Leptoukh Prize in Dec 2017 (https://connect.agu.org/essi/awards/leptoukh-lecture-winners).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -