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

Autor(es)

Yoshino Watanabe, Fernanda Sayuri ^[1] ; Alcantara, Enner ^[2] ; Stech, Jose Luiz ^[3]

Afiliação do(s) autor(es)

^[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

• Tipo de documento: Artigo Científico
• Fonte: Advances in Space Research; v. 62, n. 2, p. 265-273, JUL 15 2018.
• Citações Web of Science: 0

Resumo

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)

• Processo FAPESP: 15/18525-8 - Inversão de modelo baseado na equação de transferência radiativa para estimar a concentração de clorofila-a em águas produtivas - reservatório de Barra Bonita, Rio Tietê, SP
• Beneficiário: Fernanda Sayuri Yoshino Watanabe
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 11/19523-8 - Desenvolvimento de modelo semi-analítico para o estudo da concentração de clorofila-a e estado trófico em reservatórios hidrelétrico tropicais
• Beneficiário: José Luiz Stech
• Modalidade de apoio: Auxílio à Pesquisa - Regular