Geostationary Image Simulation on Coastal Waters Using Hydrodynamic Biogeochemical and Sedimentary Coupled Models

Lei, Manchun; Minghelli, Audrey; Fraysse, Marion; Pairaud, Ivane; Verney, Romaric; Pinazo, Christel

doi:10.1109/jstars.2016.2533662

Cited by 3 publications

(3 citation statements)

References 36 publications

(44 reference statements)

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“…They showed that the sun zenith angle variation is not considered to be a major cause of the error in the estimation of SPM concentration up to a very high sun zenith angle (typically greater than 70°). Simulations by Lei et al [31] showed that the solar angle variation could have a greater impact on chlorophyll estimation (53%) than SPM estimation (5%).…”

Section: B Goci Satellite Datamentioning

confidence: 99%

Monitoring Suspended Particle Matter Using GOCI Satellite Data After the Tohoku (Japan) Tsunami in 2011

Minghelli

Lei²,

Charmasson

et al. 2019

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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The Fukushima Daiichi nuclear disaster that occurred on March 11, 2011 was caused by the Tohoku tsunami which was itself triggered by the devastating 9.0Mw moment magnitude earthquake. The present study investigates spatial and temporal changes of Suspended Particulate Matter (SPM) content in the NorthEastern part of Japan (Pacific Ocean) using a geostationary ocean color sensor. The Geostationary Ocean Color Imager (GOCI), which is centered on the Korean peninsula but could also observe the Japanese area, is able to acquire 8 images per day, thus allowing the analysis of rapid daily changes in water mass. The analysis of GOCI data shows that SPM concentration notably increased both along the coast and within the Bay of Sendai shortly after the tsunami. Motionless patterns of SPM were observed at 2, 14, 25 and 37 km from the coast. It is shown that SPM concentration rapidly decreased one month later. The SPM concentration did not remain high the following year, contrary to what was observed for the Sumatra Tsunami in 2004. The origin of SPM is also investigated in this study. Our analysis suggests that some of the SPM originates from the resuspension of bottom sediments due to the reflection of the tsunami on the coastline that leads to the migration of marine particles towards the sea surface. The fate of the SPM concentration is then discussed based on the analysis of meteorological conditions, river discharge and tsunami wave properties.

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Section: B Goci Satellite Datamentioning

confidence: 99%

Monitoring Suspended Particle Matter Using GOCI Satellite Data After the Tohoku (Japan) Tsunami in 2011

Minghelli

Lei²,

Charmasson

et al. 2019

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…Both the absorption and backscattering coefficient of TSM are significantly elevated with increasing sediment, which makes it possible to construct relationships between TSM and the remote sensing signal. Over the past several decades, an increasing number of studies based on analytical, empirical and semi-analytical methods have mapped TSM concentrations with satellite data around the world [7][8][9][10][11][12][13]. The analytical models in these studies were based on strict theoretical derivation, which tends to be more applicable for different water types than empirical models.…”

Section: Introductionmentioning

confidence: 99%

“…Based on the radiative transfer theory, Lee, et al [26] gave a theoretical explanation of a p (λ) and b bp (λ) and then established a quasi-analytical algorithm (QAA) for relating a p (λ) and b bp (λ) to multiband surface reflectance for ocean and coastal environments. Many subsequent works have presented applications of the QAA model in deriving a p (λ) as well as b bp (λ) from remote sensing reflectance and, consequently, for estimating the surface TSM concentration in different water types [11][12][13]. The semianalytical methods allow insights on the process themselves and provide a representation of the current water condition that is consistent with the governing physical processes [9,10].…”

Section: Introductionmentioning

confidence: 99%

A semi-analytical model for estimating total suspended matter in highly turbid waters

et al. 2018

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Total suspended matter (TSM) is related to water quality. High TSM concentrations limit underwater light availability, thus affecting the primary productivity of aquatic ecosystems. Accurate estimation of TSM concentrations in various waters with remote sensing technology is particularly challenging, as the concentrations and optical properties vary greatly among different waters. In this research, a semi-analytical model was established for Hangzhou Bay and Lake Taihu for estimating TSM concentration. The model construction proceeded in two steps. 1) Two indices of the model were calculated by deriving absorption and backscattering coefficients of suspended matter (a p (λ) and b bp (λ)) from the reflectance signal using a semi-analytical method. 2) The two indices were then weighted to derive TSM. The performance of the proposed model was tested using in situ reflectance and Geostationary Ocean Color Imager (GOCI) data. The derived TSM based on in situ reflectance and GOCI images both corresponded well with the in situ TSM with low mean relative error (32%, 41%), root mean square error (20.1 mg/L, 43.1 mg/L), and normalized root mean square error (33%, 55%). The model was further used for the slightly turbid Xin'anjiang Reservoir to demonstrate its applicability to derive a p (λ) and b bp (λ) in other water types. The results indicated that the form R rs −1 (λ 1 ) − R rs −1 (λ 2 ) could minimize the effect of CDOM absorption in deriving a p (λ) from the total absorption. The model exploited the different relationships between TSM concentration and multiband reflectance, thus improving the performance and application range in deriving TSM.

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Foreword to the Special Issue on the Remote Sensing of the World Oceans

Fablet

2016

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Geostationary Image Simulation on Coastal Waters Using Hydrodynamic Biogeochemical and Sedimentary Coupled Models

Abstract: International audienc

Cited by 3 publications

References 36 publications

Monitoring Suspended Particle Matter Using GOCI Satellite Data After the Tohoku (Japan) Tsunami in 2011

Monitoring Suspended Particle Matter Using GOCI Satellite Data After the Tohoku (Japan) Tsunami in 2011

A semi-analytical model for estimating total suspended matter in highly turbid waters

Foreword to the Special Issue on the Remote Sensing of the World Oceans

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