Satellite Estimation of Chlorophyll-a Concentration Using the Red and NIR Bands of MERIS—The Azov Sea Case Study

Authors

Wesley J. Moses, University of Nebraska- LincolnFollow
Anatoly A. Gitelson, University of Nebraska-LincolnFollow
Sergey Berdnikov, Southern Scientific Center of the Russian Academy of Sciences, Rostov-on-DonFollow
Vasiliy Povazhnyy, Southern Scientific Center of the Russian Academy of Sciences, Rostov-on-DonFollow

Document Type

Article

Date of this Version

10-2009

Comments

Published in IEEE Geoscience and Remote Sensing Letters, vol. 6, no. 4, October 2009, pp. 845-849. Copyright 2009, IEEE. Used by permission.

Abstract

We present here the results of calibrating and validating a three-band model and, its special case, a two-band model, which use MEdium Resolution Imaging Spectrometer (MERIS) reflectances in the red and near-infrared spectral regions for estimating chlorophyll-a (chl-a) concentration in inland, estuarine, and coastal turbid productive waters. During four data collection campaigns in 2008 and one campaign in 2009 in the Taganrog Bay and the Azov Sea, Russia, water samples were collected, and concentrations of chl-a and total suspended solids were measured in the laboratory. The data collected in 2008 were used for model calibration, and the data collected in 2009 were used for model validation. The models were applied to MERIS images acquired within two days from the date of in situ data collection. Two different atmospheric correction procedures were considered for processing the MERIS images. The results illustrate the high potential of the models to estimate chl-a concentration in turbid productive (Case II) waters in real time from satellite data, which will be of immense value to scientists, natural resource managers, and decision makers involved in managing the inland and coastal aquatic ecosystems.