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Open AccessArticle

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

1
Department of Cartography, São Paulo State University—Unesp, Presidente Prudente, São Paulo State 19063841, Brazil
2
National Institute of Education, Nanyang Technological University, Singapore 639798, Singapore
3
Department of Environmental Engineering, São Paulo State University—Unesp, São José Dos Campos, São Paulo State 12247-004, Brazil
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(19), 2283; https://doi.org/10.3390/rs11192283
Received: 13 August 2019 / Revised: 23 September 2019 / Accepted: 25 September 2019 / Published: 30 September 2019
(This article belongs to the Special Issue Remote Sensing of Large Rivers)
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 Tietê River Cascade System (TRCS) in Brazil). In this system, high levels of Chl-a concentration of up to 700 mg/m3, 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 Kd is not susceptible to the saturation issue encountered when using remote sensing reflectance (Rrs), we estimate SPM concentrations via Kd. Kd 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 Kd(655) was capable of describing 74% of SPM variations in the TRCS, with average error consistently lower than 30%. View Full-Text
Keywords: semi-analytical model; inherent optical properties; light attenuation; water quality monitoring semi-analytical model; inherent optical properties; light attenuation; water quality monitoring
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MDPI and ACS Style

Bernardo, N.; do Carmo, A.; Park, E.; Alcântara, E. Retrieval of Suspended Particulate Matter in Inland Waters with Widely Differing Optical Properties Using a Semi-Analytical Scheme. Remote Sens. 2019, 11, 2283.

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