Name
Abstract | ||
|---|---|---|
Analysis and study of coastal upwelling using sea surface temperature (SST) satellite images is a common procedure because of its coast effectiveness (economic, time, frequency, and manpower). Developing on the Ekman theory, we propose a robust method to identify the upwelling regions along the north-west African margin. The proposed method comes to overcome the issues encountered in a recent method devoted for the same purpose and for the same upwelling system. Afterward, we show how our method can serve as a framework to study and monitor the spatio-temporal variability of the upwelling phenomenon in the studied region. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/LGRS.2020.2983826 | IEEE Geoscience and Remote Sensing Letters |
Keywords | DocType | Volume |
Sea surface temperature (SST) images,upwelling,upwelling identification and extraction,upwelling index | Journal | 18 |
Issue | ISSN | Citations |
4 | 1545-598X | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anass El Aouni | 1 | 0 | 1.01 |
| Khalid Daoudi | 2 | 145 | 23.68 |
| Khalid Minaoui | 3 | 7 | 7.42 |
| Hussein M. Yahia | 4 | 87 | 16.06 |