A MERIS-based model for estimating the concentration of suspended particulates in the ST. Lawrence Estuary

Author

Mohammadpour, Gholamreza ; Montes-Hugo, Martin Alejandro ; Gagne, Jean-Pierre ; Larouche, Pierre ; Bouakba, Habiba

Author_Institution

Inst. des Sci. de la Mer de Rimouski, Univ. du Quebec a Rimouski, Rimouski, QC, Canada

fYear

2014

fDate

13-18 July 2014

Firstpage

5156

Lastpage

5159

Abstract

The MERIS-derived remote sensing reflectance (R_rs) ratios R_rs(708)/R_rs(665) and R_rs(753)/[R_rs(665)-R_rs(708)] have been successfully used to estimate chlorophyll concentration in diverse turbid coastal waters of US. Here, the response of these two optical proxies with respect to changes on concentration of suspended particulate matter (C_SPM) is evaluated in the St. Lawrence Estuary for the first time. Preliminary results showed that R_rs(708)/R_rs(665) had a better performance (RMSE = 3.06) than R_rs(753)/[R_rs(665)-R_rs(708)] (RMSE = 7.76) for estimating C_SPM distributions during spring conditions.

Keywords

ocean composition; oceanographic regions; remote sensing; underwater optics; CSPM distribution estimation; MERIS-based model; MERIS-derived remote sensing reflectance ratio; RMSE; Saint Lawrence Estuary; US diverse turbid coastal waters; chlorophyll concentration estimation; concentration changes; optical proxy; spring conditions; suspended particulate concentration estimation; suspended particulate matter; Atmospheric modeling; Biological system modeling; Biomedical optical imaging; Optical sensors; Optical variables measurement; Remote sensing; Sea measurements;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International

Conference_Location

Quebec City, QC

Type

conf

DOI

10.1109/IGARSS.2014.6947659

Filename

6947659