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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.)

Estimation of Chlorophyll-a Concentration from Optimizing a Semi-Analytical Algorithm in Productive Inland Waters

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Author(s):
Watanabe, Fernanda [1] ; Alcantara, Enner [2] ; Imai, Nilton [1] ; Rodrigues, Thanan [3] ; Bernardo, Nariane [1]
Total Authors: 5
Affiliation:
[1] Sao Paulo State Univ UNESP, Fac Sci & Technol, Dept Cartog, Rua Roberto Simonsen 305, BR-19060900 Presidente Prudente, SP - Brazil
[2] Sao Paulo State Univ UNESP, Inst Sci & Technol, Dept Environm Engn, Rodovia Presidente Dutra Km 137-8, BR-12247004 Sao Jose Dos Campos, SP - Brazil
[3] Fed Inst Educ Sci & Technol Para, Rodovia BR 316, Km 61, BR-68740970 Castanhal, PA - Brazil
Total Affiliations: 3
Document type: Journal article
Source: REMOTE SENSING; v. 10, n. 2 FEB 2018.
Web of Science Citations: 9
Abstract

The high nutrient concentrations coming from non-point and point pollution have been linked to algae blooms, especially in hydroelectric plant reservoirs, due to higher residence time compared to rivers. The monitoring of algae is important to prevent risk of contamination by toxins in reservoirs used for drinking water supply. In this context, a physical model-based approach was adopted to retrieve chlorophyll-a (chl a) concentration, a photosynthetic pigment found in all phytoplankton species. We assumed that a semi-analytical algorithm parameterized to a eutrophic reservoir could also be applied to other eutrophic reservoirs, at least the specific inherent optical properties (SIOPs) are not similar. The parameterization was carried out based on Ocean and Land Color Instrument (OLCI) bands aboard Sentinel-3 spacecraft. In our study, the semi-analytical approach showed good performance in retrieving chl a content, with a normalized root mean square error (NRMSE) of 18.7%. The findings encourage the use of a unique semi-analytical algorithm in a reservoir cascade, where the impoundments present similar bio-optical status. The good performance of the algorithm indicates that this approach is rather useful in predicting trophic status in reservoirs. (AU)

FAPESP's process: 13/09045-7 - Submersed aquatic vegetation - SAV mapping based on radiative transfer theory - RTT in water bodies
Grantee:Nilton Nobuhiro Imai
Support type: Regular Research Grants
FAPESP's process: 15/21586-9 - Re-parametrization of a Quasi-Analytical Algorithm (QAA) to estimating the inherent optical properties in reservoirs of Tietê River
Grantee:Enner Herenio de Alcântara
Support type: Regular Research Grants
FAPESP's process: 12/19821-1 - Bio-optical model parametrization to study the chlorophyll-A concentration along a cascade of reservoirs
Grantee:Enner Herenio de Alcântara
Support type: Regular Research Grants
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