Operational monitoring of suspended matter distribution using MODIS images and numerical modelling

Sipelgas, Liis; Raudsepp, Urmas; Kõuts, Tarmo

doi:10.1016/j.asr.2006.03.011

Cited by 51 publications

(31 citation statements)

References 6 publications

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“…In such cases, a non-linear approximation such as a higher order polynomial or exponential function [13,29,35,45] is used to relate the TSS concentration to reflectance. Combinations of different spectral bands in visible and near infrared (NIR) spectral regions have been used to estimate the TSS concentration in coastal waters that varied vastly in concentrations, from less than 11.0 mg/L [25,[46][47][48] to very high, greater than 2000 mg/L [13,49,50]. Spectral bands in the blue and green spectral regions with [23,41,51,52] or without (Jiang and Liu 2011 as cited in [28,53]) the combinations of red or NIR bands are used by many researchers to explore the potential of TSS mapping using different band combinations.…”

Section: Introductionmentioning

confidence: 99%

A Semi-Analytic Model for Estimating Total Suspended Sediment Concentration in Turbid Coastal Waters of Northern Western Australia Using MODIS-Aqua 250 m Data

2016

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Abstract:Knowledge of the concentration of total suspended sediment (TSS) in coastal waters is of significance to marine environmental monitoring agencies to determine the turbidity of water that serve as a proxy to estimate the availability of light at depth for benthic habitats. TSS models applicable to data collected by satellite sensors can be used to determine TSS with reasonable accuracy and of adequate spatial and temporal resolution to be of use for coastal water quality monitoring. Thus, a study is presented here where we develop a semi-analytic sediment model (SASM) applicable to any sensor with red and near infrared (NIR) bands. The calibration and validation of the SASM using bootstrap and cross-validation methods showed that the SASM applied to Moderate Resolution Imaging Spectroradiometer (MODIS)-Aqua band 1 data retrieved TSS with a root mean square error (RMSE) and mean averaged relative error (MARE) of 5.75 mg/L and 33.33% respectively. The application of the SASM over our study region using MODIS-Aqua band 1 data showed that the SASM can be used to monitor the on-going, post and pre-dredging activities and identify daily TSS anomalies that are caused by natural and anthropogenic processes in coastal waters of northern Western Australia.

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Section: Introductionmentioning

confidence: 99%

A Semi-Analytic Model for Estimating Total Suspended Sediment Concentration in Turbid Coastal Waters of Northern Western Australia Using MODIS-Aqua 250 m Data

2016

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“…FORGET and OUILLON (1998), for example, have shown how the TSM distribution patterns in the Mediterranean varied according to wind-driven currents. Also, the combination of satellite images and numerical models during a period of dredging in a port in Finland indicated that TSM patterns depend not only on the dredging itself, but also on wind-driven currents (SIPELGAS et al, 2006). In addition, TSM concentration in Santos Bay seems to vary with wind direction as well: winds from southern quadrant tend to increase overall turbulence and sediment resuspension to the water column, while winds form E-N quadrant tend to increase estuarine contributions and decrease TSM concentrations.…”

Section: Dynamics Of Tsm In Santos Bay and Its Adjacent Estuarine Commentioning

confidence: 99%

“…Simpler approaches are also possible, such as the one from MILLER and MCKEE (2004), also using red spectral bands (620-670 nm from MODIS/Aqua), which proposed empirical TSM algorithms for the Gulf of Mexico. The authors assumed that an increase in TSM concentration linearly increases water-leaving reflectance in the red band, an approach also used by SIPELGAS et al (2006) for TSM determination in the Gulf of Finland. At Santos Bay, averaged TSM values estimated from DEKKER's algorithm were slightly lower than the in situ dataset presented here.…”

Section: Dynamics Of Tsm In Santos Bay and Its Adjacent Estuarine Commentioning

confidence: 99%

The use of CBERS (China-Brazil Earth Resources Satellite) to trace the dynamics of total suspended matter at an urbanized coastal area

Giannini

Harari

Ciotti³

2017

Braz. j. oceanogr.

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The distribution of organic and inorganic particles in the water column, or the total suspended matter (TSM), responds to local and remote oceanographic and meteorological processes, potentially impacting biogeochemical cycles. In shallow coastal areas, where particles have distinct origins and compositions and vary in different time scales, the use of remote sensing tools for monitoring and tracing this material is highly encouraged due to the high temporal and spatial data resolution. The objective of this work was to understand the variability of in situ TSM at Santos Bay (Southeastern Brazil) and its response to oceanographic and meteorological conditions. We also aimed to verify the applicability of the satellite data from CBERS-2 sensor in order to map the dynamics of TSM in this region. Our results have shown that the distribution of TSM in Santos Bay varied consistently with winds, currents and tidal cycles, with significant relationships emphasizing the role of south-western winds and spring tides. Neap tides and eastern winds, along with rainfall, play an important role in the input of organic matter into the bay. In conclusion, our analyses showed that the main patterns observed in situ regarding the responses of TSM to the ocean-meteorological processes could be reproduced in the CBERS-2 satellite data, after simple and standard methods of images processing. TSM data retrieval from CBERS-2 or other satellite sensors were shown to be feasible, becoming an essential tool for synoptic observations of the composition and quality of water, especially at urbanized and impacted coastal areas. A distribuição de partículas orgânicas e inorgânicas na coluna d'água, ou o material em suspensão total (MST), responde a processos oceanográficos e meteorológicos locais e remotos, que potencialmente impactam processos biogeoquímicos. Em áreas costeiras, onde partículas possuem diferentes origens e composições e variam em diferentes escalas de tempo, o uso de ferramentas de sensoriamento remoto para monitoramento e mapeamento desse material é altamente indicado devido à alta resolução temporal e espacial dos dados. O objetivo desse trabalho foi compreender a variabilidade do MST in situ na Baía de Santos (sudeste brasileiro) e sua resposta a condições oceanográficas e meteorológicas. Buscou-se também verificar a aplicabilidade dos dados de satélite do sensor CBERS-2 a fim de mapear a dinâmica do MST na região. Nossos resultados mostraram que a distribuição do MST na Baía de Santos variou consistentemente com os ventos, correntes e ciclos de maré, com correlações significantes que enfatizam o papel de ventos de sudoeste e da maré de sizígia. Marés de quadratura e ventos de leste, somados à precipitação, possuem papel importante na entrada de matéria orgânica na baía. Como conclusão, nossas análises mostraram que os principais padrões observados in situ em relação às respostas do MST aos processos meteorológicos e oceanográficos poderiam ser reproduzidas nos dados do satélite CBERS-2, após métodos padrões de processamen...

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“…Likewise, the suspended sediment concentration (SSC) in the sea is an important water quality parameter that can directly influence optical properties, such as water transparency, turbidity, water colour, etc. (Tassan, S., 2003;Yan and Tang 2009), and its absorption coefficient has significant influences on ocean biogeochemical processes (Sipelgas et al 2006;Liu et al 2010Liu et al , 2012.…”

Section: Introductionmentioning

confidence: 99%

The impacts of 2008 snowstorm in China on the ecological environments in the Northern South China Sea

Tang

Levy

2017

Geomatics, Natural Hazards and Risk

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At the beginning of 2008, disastrous weather with snowstorms truck South China. Analysis of satellite and in situ data revealed obvious changes in ecological environments in the northern South China Sea after snowstorms. The sea surface temperature (SST) data from NOAA and Moderate Resolution Imaging Spectroradiometer (MODIS) from 2000 to 2013, and the chlorophyll-a (Chla) concentration from MODIS are analysed. In the study area, the multiple-day-averaged SST dropped by 20.01% and Chla concentration increased by 22.42% during and after snowstorm. SST decreased more significantly and Chla increased in the coastal waters, while suspended sediment concentration (SSC) increased more remarkably offshore. The biggest drop of SST reached 6 C and striking elevation in Chla with 52.55% in the Taiwan Strait, and SSC changed significantly near to the Taiwan bank after the snowstorm. Further analysis indicated that the remarkable reductions in SST were caused by large cold water input from Min-Zhe coastal water and the Pearl River Estuary, as a result of strong sea-land-air interaction in the coastal waters during the snowstorm. The increase in Chla may be related to the abundant nutrients from the plenty of cold water, a strong front and vertical mixing in the coastal waters.

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Operational monitoring of suspended matter distribution using MODIS images and numerical modelling

Cited by 51 publications

References 6 publications

A Semi-Analytic Model for Estimating Total Suspended Sediment Concentration in Turbid Coastal Waters of Northern Western Australia Using MODIS-Aqua 250 m Data

A Semi-Analytic Model for Estimating Total Suspended Sediment Concentration in Turbid Coastal Waters of Northern Western Australia Using MODIS-Aqua 250 m Data

The use of CBERS (China-Brazil Earth Resources Satellite) to trace the dynamics of total suspended matter at an urbanized coastal area

The impacts of 2008 snowstorm in China on the ecological environments in the Northern South China Sea

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