TY - JOUR
T1 - Estimation of chlorophyll-a concentration in estuarine waters
T2 - Case study of the Pearl River estuary, South China Sea
AU - Zhang, Yuanzhi
AU - Lin, Hui
AU - Chen, Chuqun
AU - Chen, Liding
AU - Zhang, Bing
AU - Gitelson, Anatoly A.
N1 - Copyright:
Copyright 2015 Elsevier B.V., All rights reserved.
PY - 2011
Y1 - 2011
N2 - The objective of this work is to estimate chlorophyll-a (chl-a) concentration in the Pearl River estuary in China. To test the performance of algorithms for the estimation of the chl-a concentration in these productive turbid waters, the maximum band ratio (MBR) and near-infrared-red (NIR-red) models are used in this study. Specific focus is placed on (a)comparing the ability of the models to estimate chl-a in the range 1-12 mg m-3, which is typical for coastal and estuarine waters, and (b) assessing the potential of the Moderate Resolution Imaging Spectrometer (MODIS) and Medium Resolution Imaging Spectrometer (MERIS) to estimate chl-a concentrations. Reflectance spectra and water samples were collected at 13 stations with chl-a ranging from 0.83 to 11.8 mg m-3 and total suspended matter from 9.9 to 21.5 g m-3. A close relationship was found between chl-a concentration and total suspended matter concentration with the determining coefficient (R2) above 0.89. The MBR calculated in the spectral bands of MODIS proved to be a good proxy for chl-a concentration (R2 > 0.93). On the other hand, both the NIR-red three-band model, with wavebands around 665, 700, and 730nm, and the NIR-red two-band model (with bands around 665 and 700nm) explained more than 95% of the chl-a variation, and we were able to estimate chl-a concentrations with a root mean square error below 1 mg m -3. The two-and three-band NIR-red models with MERIS spectral bands accounted for 93% of the chl-a variation. These findings imply that the extensive database of MODIS and MERIS images could be used to quantitatively monitor chl-a in the Pearl River estuary.
AB - The objective of this work is to estimate chlorophyll-a (chl-a) concentration in the Pearl River estuary in China. To test the performance of algorithms for the estimation of the chl-a concentration in these productive turbid waters, the maximum band ratio (MBR) and near-infrared-red (NIR-red) models are used in this study. Specific focus is placed on (a)comparing the ability of the models to estimate chl-a in the range 1-12 mg m-3, which is typical for coastal and estuarine waters, and (b) assessing the potential of the Moderate Resolution Imaging Spectrometer (MODIS) and Medium Resolution Imaging Spectrometer (MERIS) to estimate chl-a concentrations. Reflectance spectra and water samples were collected at 13 stations with chl-a ranging from 0.83 to 11.8 mg m-3 and total suspended matter from 9.9 to 21.5 g m-3. A close relationship was found between chl-a concentration and total suspended matter concentration with the determining coefficient (R2) above 0.89. The MBR calculated in the spectral bands of MODIS proved to be a good proxy for chl-a concentration (R2 > 0.93). On the other hand, both the NIR-red three-band model, with wavebands around 665, 700, and 730nm, and the NIR-red two-band model (with bands around 665 and 700nm) explained more than 95% of the chl-a variation, and we were able to estimate chl-a concentrations with a root mean square error below 1 mg m -3. The two-and three-band NIR-red models with MERIS spectral bands accounted for 93% of the chl-a variation. These findings imply that the extensive database of MODIS and MERIS images could be used to quantitatively monitor chl-a in the Pearl River estuary.
KW - chlorophyll
KW - reflectance
KW - remote sensing
UR - http://www.scopus.com/inward/record.url?scp=79960331320&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79960331320&partnerID=8YFLogxK
U2 - 10.1088/1748-9326/6/2/024016
DO - 10.1088/1748-9326/6/2/024016
M3 - Article
AN - SCOPUS:79960331320
VL - 6
JO - Environmental Research Letters
JF - Environmental Research Letters
SN - 1748-9326
IS - 2
M1 - 024016
ER -