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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.)

Retrieval of Suspended Particulate Matter in Inland Waters with Widely Differing Optical Properties Using a Semi-Analytical Scheme

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Author(s):
Bernardo, Nariane [1] ; do Carmo, Alisson [1] ; Park, Edward [2] ; Alcantara, Enner [3]
Total Authors: 4
Affiliation:
[1] Sao Paulo State Univ Unesp, Dept Cartog, BR-19063841 Presidente Prudente, SP - Brazil
[2] Nanyang Technol Univ, Natl Inst Educ, Singapore 639798 - Singapore
[3] Sao Paulo State Univ Unesp, Dept Environm Engn, BR-12247004 Sao Jose Dos Campos, SP - Brazil
Total Affiliations: 3
Document type: Journal article
Source: REMOTE SENSING; v. 11, n. 19 OCT 2019.
Web of Science Citations: 0
Abstract

Suspended particulate matter (SPM) directly affects the underwater light field and, as a consequence, changes the water clarity and can reduce the primary production. Remote sensing-based bio-optical modeling can provide efficient monitoring of the spatiotemporal dynamics of SPM in inland waters. In this paper, we present a novel and robust bio-optical model to retrieve SPM concentrations for inland waters with widely differing optical properties (the Tiete River Cascade System (TRCS) in Brazil). In this system, high levels of Chl-a concentration of up to 700 mg/m(3), turbidity up to 80 NTU and high CDOM absorption highly complicate the optical characteristics of the surface water, imposing an additional challenge in retrieving SPM concentration. Since K-d is not susceptible to the saturation issue encountered when using remote sensing reflectance (R-rs), we estimate SPM concentrations via K-d. K-d was derived analytically from inherent optical properties (IOPs) retrieved through a re-parameterized quasi-analytical algorithm (QAA) that yields relevant accuracy. Our model improved the estimates of the IOPs by up to 30% when compared to other existing QAAs. Our developed bio-optical model using K-d(655) was capable of describing 74% of SPM variations in the TRCS, with average error consistently lower than 30%. (AU)

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: 19/00259-0 - Algorithms development to retrieve water quality parameters from space
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