| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6347572 | Remote Sensing of Environment | 2012 | 8 Pages |
Abstract
⺠We improved and created algorithms to detect mesoscale oceanic fronts and filaments. ⺠We quantified the improvement gained by using our new algorithms to detect fronts. ⺠We used our algorithms to characterise fronts and filaments of the Canary upwelling. ⺠In the Canary system, fronts are related to upwelling, coastline shape and season. ⺠We showed the general applicability of the front and filament detection methods.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Computers in Earth Sciences
Authors
K. Nieto, H. Demarcq, S. McClatchie,