MODIS imagery of turbid plumes in San Diego coastal waters during rainstorm events

Lahet, Florence; Stramski, Dariusz

doi:10.1016/j.rse.2009.09.017

Cited by 59 publications

(35 citation statements)

References 37 publications

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“…Radiance or reflectance values measured in the band 1 have been used as qualitative proxy for amounts of total suspended matter (TSM) (e.g. Lahet and Stramski, 2010) or integrated in empirical bio-optical algorithms to quantify the concentrations of TSM (mg.l -1 ) or the turbidity levels (NTU) in marine waters (e.g. Miller andMcKee 2004, Petus et al 2010).…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…However, spatial and temporal variations in river plume events are modulated by a number of factors including storms and discharge strength (e.g. Lahet and Stramski, 2010, Lihan et al, 2008) Dailloux, 2008;Doxaran et al, 2009;Lihan et al, 2008;Morichon et al, 2008;Nezlin et al, 2007;Thomas and Weatherbee, 2006;Warrick et al, 2007). More particularly, satellite images provide synoptic and frequent regional overviews that enable more effective analysis of the river plume spatial and temporal distribution, using optically active parameters that can be measured from space by the ocean colour (Lihan et al, 2008).…”

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confidence: 99%

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Monitoring spatio-temporal variability of the Adour River turbid plume (Bay of Biscay, France) with MODIS 250-m imagery

Petus

Marieu

Novoa

et al. 2014

Continental Shelf Research

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This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting galley proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. AbstractIncreased loads of land-based pollutants through river plumes are a major threat to the coastal water quality, ecosystems and sanitary heath. Identifying the coastal areas impacted by potentially polluted freshwaters is necessary to inform management policies and prevent degradation of the coastal environment. This study presents the first monitoring of the Adour River turbid plume (south-eastern Bay of Biscay, France) using multi-annual MODIS data Satellite data are processed using a regional algorithm that allows quantifying and mapping suspended matter in coastal waters. The results are used to investigate the spatial and temporal variability of the Adour River turbid plume and to identify the risk of exposure of coastal ecosystems to the turbid plume waters. Changes in river plume orientation and extent as well as suspended matter concentration rates discharged through the river are correlated to the main hydro-climatic forcings acting in the south-eastern Bay of Biscay. The Adour River turbid plume is shown to be a highly reactive system mainly controlled by the river discharge rates and modulated by the wind changes. Despite the relatively small size of the Adour River, the Adour River turbid plume can have a non-negligible impact on the water quality of the southern Bay of Biscay and the MSM and associated contaminant/nutrients transported within the Adour turbid river plume have the potential to be disseminated far away along the northern shoreline or offshore. The main areas of influence of the river plume are defined over multi-annual (3 years) and seasonal periods. The results presented in this study show the potential of 250-m MODIS images to monitor small river plumes systems and support management and assessment of the water quality in the south-eastern Bay of Biscay.Key words: water quality, River plume, MODIS-Aqua; mineral suspended matters, spatiotemporal variability, Adour estuary. IntroductionAssessment of water quality has become a major issue worldwide and is illustrated in Europe by the implementation of the Water Framework, the Quality of Bathing Waters and the (MSFD, 2008/56/EC), respectively. These directives mainly focus on preventing the degradation of aquatic ecosystems due to anthropogenic pressures. The evaluation of the water quality status is based on the measurement of relevant water quality parameters. Among biological parameters are the composition, abundance and biomass of phytoplankton, the frequency and intensity of blooms and their influences on the water turbidity , Ferreira et al., 2011. Phy...

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Monitoring spatio-temporal variability of the Adour River turbid plume (Bay of Biscay, France) with MODIS 250-m imagery

Petus

Marieu

Novoa

et al. 2014

Continental Shelf Research

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“…These daily products provide surface reflectance at 250-m resolution for band 1 (620-670 nm) and 500-m resolution for band 4 (545-565 nm). We used band 1 as a qualitative proxy for amounts of turbidity (sediment dominated) levels, because earlier studies has found that reflectance centered on 645 nm had high and constant sensitivity to suspended particles and was often integrated into empirical bio-optical algorithms to quantify the total suspended sediment (mg/L) or turbidity levels (NTU) (Lahet and Stramski, 2010;Aurin et al, 2013;Park and Latrubesse, 2014;Petus et al, 2014;Fernández-Nóvoa et al, 2015). Band 4 was used for depicting sea surface salinity patterns, because SR at the green-blue range is a better indicator of surface salinity than other visible spectrum wavelengths (Hu et al, 2004;Ahn et al, 2008;Palacios et al, 2009).…”

Section: Satellite Data 231 Modis Reflectancementioning

confidence: 99%

“…The optical properties of coastal surface waters can be used to distinguish turbid plume water from ambient water masses (Lahet and Stramski, 2010). Supervised classification of ocean color data has been successfully employed to develop link between light absorption of Chromophoric Dissolved Organic Matter (CDOM) and surface salinity in Columbia River plume (Palacios et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Variability of Yellow River turbid plume detected with satellite remote sensing during water-sediment regulation

Guo

Zou

Jiang

et al. 2017

Continental Shelf Research

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Wind and rainfall regulation of the diffuse attenuation coefficient in large, shallow lakes from long‐term MODIS observations using a semianalytical model

et al. 2017

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Knowledge of the variation and regulation of the diffuse attenuation coefficient is important for management of lake water quality and ecological environments. Data were collected seven times (378 samples) from 2006 to 2011 in Lake Taihu to improve the existing semianalytical model of diffuse attenuation coefficient at 490 nm (Kd(490)) by measuring in situ Kd(490) and remote sensing reflectance (Rrs). This semianalytical model was applied to determine the long‐term variation of Kd(490) and its driving factors from Moderate Resolution Imaging Spectroradiometer (MODIS) images. Our semianalytical model of Kd(490) improves the retrieval accuracy of Kd(490) from 29.60% to 22.58% (root‐mean‐square percentage error) and 24.28 ± 18.54% (mean value ± standard deviation) to 19.29 ± 14.34% (mean absolute relative error). The Kd(490) from maps produced from MODIS images clearly present the temporal and spatial variations of Kd(490). This indicates the suitability of using the improved semianalytical model and MODIS to observe Kd(490) in turbid shallow inland waters. Long‐term MODIS observation of Kd(490) shows distinct seasonal and spatial variations. Temporally, the highest and the lowest Kd(490) were found in winter and in summer, respectively. Spatially, high Kd(490) values were primarily distributed in the southwestern and northwestern Lake Taihu, and relatively low Kd(490) values were distributed in Meiliang Bay and Gonghu Bay (the eastern part of the lake and East Bay were excluded in this study due to invalid retrieval results of Kd(490)). Many covarying points were found between Kd(490) and maximum wind speed from long‐term observations, suggesting that wind‐induced sediment resuspension is the principal driver of high Kd(490). Correlation was also observed between Kd(490) and heavy rainfall events, suggesting the regulating effect of heavy rainfall.

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MODIS imagery of turbid plumes in San Diego coastal waters during rainstorm events

Cited by 59 publications

References 37 publications

Monitoring spatio-temporal variability of the Adour River turbid plume (Bay of Biscay, France) with MODIS 250-m imagery

Monitoring spatio-temporal variability of the Adour River turbid plume (Bay of Biscay, France) with MODIS 250-m imagery

Variability of Yellow River turbid plume detected with satellite remote sensing during water-sediment regulation

Wind and rainfall regulation of the diffuse attenuation coefficient in large, shallow lakes from long‐term MODIS observations using a semianalytical model

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