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

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

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, e...

Full description

Saved in:
Bibliographic Details
Published in:IEEE geoscience and remote sensing letters Vol. 6; no. 4; pp. 845 - 849
Main Authors: Moses, W.J., Gitelson, A.A., Berdnikov, S., Povazhnyy, V.
Format: Journal Article
Language:English
Published: Piscataway IEEE 01-10-2009
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Atmospheric measurements
Atmospheric modeling
Bands
Calibration
Chlorophyll
Chlorophyll- a (chl- a )
Imaging spectrometers
Laboratories
Marine
MEdium Resolution Imaging Spectrometer (MERIS)
MERIS
Remote sensing
Resource management
Satellites
Sea measurements
Solids
Spectra
spectral algorithm
Studies
turbid productive waters
Water resources
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1545-598X
1558-0571
DOI:10.1109/LGRS.2009.2026657