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A continuous-time state-space model for rapid quality-control of Argos locations from animal-borne tags
| Content Provider | Semantic Scholar |
|---|---|
| Author | Jonsen, Ian D. Patterson, T. A. Costa, Daniel P. Doherty, Philip D. Godley, Brendan J. Grecian, W. James Guinet, Christophe Hoenner, Xavier Kienle, Sarah S. Robison, Patrick W. Votier, Stephen C. Witt, Matthew J. Hindell, Mark A. Harcourt, Robert G. McMahon, Clive R. |
| Copyright Year | 2020 |
| Abstract | Background: State-space models are important tools for quality control and analysis of error-prone animal movement data. The near real-time (within 24 h) capability of the Argos satellite system can aid dynamic ocean management of human activities by informing when animals enter wind farms, shipping lanes, and other intensive use zones. This capability also facilitates the use of ocean observations from animal-borne sensors in operational ocean forecasting models. Such near real-time data provision requires rapid, reliable quality control to deal with error-prone Argos locations. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://arxiv.org/pdf/2005.00401v1.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
