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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

High performance of chlorophyll-a prediction algorithms based on simulated OLCI Sentinel-3A bands in cyanobacteria-dominated inland waters

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Author(s):
Yoshino Watanabe, Fernanda Sayuri [1] ; Alcantara, Enner [2] ; Stech, Jose Luiz [3]
Total Authors: 3
Affiliation:
[1] Univ Estadual Paulista, Dept Cartog, UNESP, Rua Roberto Simonsen 305, BR-19060900 Presidente Prudente, SP - Brazil
[2] Univ Estadual Paulista, Dept Environm Engn, UNESP, Rodovia Presidente Dutra, Km 137, 8 Eugenio de Melo, BR-12247004 Sao Jose Dos Campos, SP - Brazil
[3] INPE, Remote Sensing Div, Ave Astronautas 1758, BR-12227010 Sao Jose Dos Campos, SP - Brazil
Total Affiliations: 3
Document type: Journal article
Source: Advances in Space Research; v. 62, n. 2, p. 265-273, JUL 15 2018.
Web of Science Citations: 0
Abstract

In this research, we have investigated whether the chlorophyll-a (chl a) retrieval algorithms based on OLCI Sentinel-3A bands are suitable for cyanobacteria-dominated waters. Phytoplankton assemblages model optical properties of the water, influencing the performance of bio-optical algorithms. Understanding these processes is important to improve the prediction of photoactive pigments in order to use them as a proxy for trophic state and harmful algal bloom. So that, both empirical and semi-analytical approaches designed for different inland waters were tested. In addition, empirical models were tuned based on dataset collected in situ. The study was conducted in the Funil hydroelectric reservoir, where chl a ranged from 2.33 to 208.68 mg m(-3) in May 2012 (austral fall) and 4.37 to 306.03 mg m(-3) in October 2012 (austral spring). OLCI Sentinel-3A bands were tested in existing algorithms developed for other sensors and new band combinations were compared to analyze the errors produced. Normalized Difference Chlorophyll Index (NDCI) exhibited the best performance, with a Normalized Root Mean Square Error (NRMSE) of 9.30%. Result showed that wavelength at 665 nm is adequate to estimate chl a, although the maximum pigment absorption band is shifted due to phycocyanin fluorescence at approximately 650 nm. (C) 2018 COSPAR. Published by Elsevier Ltd. All rights reserved. (AU)

FAPESP's process: 15/18525-8 - Inversion model based on radiactive transfer equation for estimating the chlorophyll-a concentration in productive waters - Barra Bonita Reservoir, Tietê River, SP
Grantee:Fernanda Sayuri Yoshino Watanabe
Support type: Scholarships in Brazil - Post-Doctorate
FAPESP's process: 11/19523-8 - Developing a semi-analytical model to study the chlorophyll-a concentration and the trophic state of tropical hydroelectric reservoirs
Grantee:José Luiz Stech
Support type: Regular Research Grants