The optical properties of river and floodplain waters in the Amazon River Basin: Implications for satellite-based measurements of suspended particulate matter

2015 ◽  
Vol 120 (7) ◽  
pp. 1274-1287 ◽  
Author(s):  
Jean-Michel Martinez ◽  
Raul Espinoza-Villar ◽  
Elisa Armijos ◽  
Luciane Silva Moreira
Keyword(s):  
Optical Properties ◽  
Particulate Matter ◽  
River Basin ◽  
Suspended Particulate Matter ◽  
Amazon River ◽  
Amazon River Basin ◽  
Suspended Particulate ◽  
Floodplain Waters

Holocene provenance shift of suspended particulate matter in the Amazon River basin

2018 ◽  
Vol 190 ◽  
pp. 66-80 ◽  
Author(s):  
Natalie Höppner ◽  
Friedrich Lucassen ◽  
Cristiano M. Chiessi ◽  
André O. Sawakuchi ◽  
Simone A. Kasemann
Keyword(s):  
Particulate Matter ◽  
River Basin ◽  
Suspended Particulate Matter ◽  
Amazon River ◽  
Amazon River Basin ◽  
Suspended Particulate

scholarly journals An Algorithm to Estimate Suspended Particulate Matter Concentrations and Associated Uncertainties from Remote Sensing Reflectance in Coastal Environments

2020 ◽  
Vol 12 (13) ◽  
pp. 2172 ◽  
Author(s):  
Juliana Tavora ◽  
Emmanuel Boss ◽  
David Doxaran ◽  
Paul Hill
Keyword(s):  
Remote Sensing ◽  
Optical Properties ◽  
Particulate Matter ◽  
Suspended Particulate Matter ◽  
Ocean Color ◽  
Major Constituent ◽  
Coastal Environments ◽  
Suspended Particulate ◽  
Spm Concentration

Suspended Particulate Matter (SPM) is a major constituent in coastal waters, involved in processes such as light attenuation, pollutant propagation, and waterways blockage. The spatial distribution of SPM is an indicator of deposition and erosion patterns in estuaries and coastal zones and a necessary input to estimate the material fluxes from the land through rivers to the sea. In-situ methods to estimate SPM provide limited spatial data in comparison to the coverage that can be obtained remotely. Ocean color remote sensing complements field measurements by providing estimates of the spatial distributions of surface SPM concentration in natural waters, with high spatial and temporal resolution. Existing methods to obtain SPM from remote sensing vary between purely empirical ones to those that are based on radiative transfer theory together with empirical inputs regarding the optical properties of SPM. Most algorithms use a single satellite band that is switched to other bands for different ranges of turbidity. The necessity to switch bands is due to the saturation of reflectance as SPM concentration increases. Here we propose a multi-band approach for SPM retrievals that also provides an estimate of uncertainty, where the latter is based on both uncertainties in reflectance and in the assumed optical properties of SPM. The approach proposed is general and can be applied to any ocean color sensor or in-situ radiometer system with red and near-infra-red bands. We apply it to six globally distributed in-situ datasets of spectral water reflectance and SPM measurements over a wide range of SPM concentrations collected in estuaries and coastal environments (the focus regions of our study). Results show good performance for SPM retrieval at all ranges of concentration. As with all algorithms, better performance may be achieved by constraining empirical assumptions to specific environments. To demonstrate the flexibility of the algorithm we apply it to a remote sensing scene from an environment with highly variable sediment concentrations.

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

2019 ◽  
Vol 11 (19) ◽  
pp. 2283 ◽  
Author(s):  
Nariane Bernardo ◽  
Alisson do Carmo ◽  
Edward Park ◽  
Enner Alcântara
Keyword(s):  
Remote Sensing ◽  
Optical Properties ◽  
Particulate Matter ◽  
Suspended Particulate Matter ◽  
Optical Model ◽  
Water Clarity ◽  
Average Error ◽  
Inland Waters ◽  
Chl A ◽  
Suspended Particulate

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%.

Changes in Optical Properties Caused by UV-Irradiation of Aquatic Humic Substances from the Amazon River Basin: Seasonal Variability Evaluation

2008 ◽  
Vol 42 (6) ◽  
pp. 1948-1953 ◽  
Author(s):  
Ursula Fabiola Rodríguez-Zúñiga ◽  
Débora Marcondes Bastos Pereira Milori ◽  
Wilson Tadeu Lopes da Silva ◽  
Ladislau Martin-Neto ◽  
Luciana Camargo Oliveira ◽  
...  
Keyword(s):  
Optical Properties ◽  
Humic Substances ◽  
River Basin ◽  
Uv Irradiation ◽  
Seasonal Variability ◽  
Amazon River ◽  
Amazon River Basin ◽  
Aquatic Humic Substances
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