An Efficient Detection of Moroccan Coastal Upwelling Based on Fusion of Chlorophyll-a and Sea Surface Temperature Images With a New Validation Index

被引：4

作者：

El Abidi, Zineb ^{[1
]}

Minaoui, Khalid ^{[1
]}

El Aouni, Anass ^{[2
,3
]}

Tamim, Ayoub ^{[4
]}

Laanaya, Hicham ^{[1
]}

机构：

[1] Mohammed V Univ Rabat, Fac Sci, CNRST URAC29, LRIT Lab,IT Rabat Ctr, Rabat 10056, Morocco

[2] Inria Grenoble Alpes, Airsea Team, F-38000 Grenoble, France

[3] Lab Jean Kuntzmann, F-38000 Grenoble, France

[4] Higher Inst Marine Fisheries ISPM, Dept Marine Fisheries, Agadir 80000, Morocco

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2021年 / 18卷 / 08期

关键词：

Ocean temperature; Indexes; Satellites; Image color analysis; Sea surface; Chlorophyll-a; image fusion; main Moroccan upwelling front; sea-surface temperature (SST); validation index;

D O I：

10.1109/LGRS.2020.3002473

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

This research deals with the problem of identifying and extracting effectively the main Moroccan upwelling front. The proposed methodology, based on the image-fusion concept, comes to benefit from the information available in both sea-surface temperature (SST) and chlorophyll-a satellite images. Moreover, a new validation index is proposed by computing a simple gradient along the extracted upwelling limit. The developed procedure is applied over a database of 366 SST and 366 chlorophyll-a images from 2007 to 2014, covering the Moroccan Atlantic coast. The final results are validated qualitatively by an oceanographer and quantitatively by our innovative index. The findings of validation demonstrate the performance of our fusion approach.

引用

页码：1322 / 1326

页数：5