Combined Use of Remote Sensing and Continuous Monitoring to Analyse the Variability of Suspended-Sediment Concentrations in San Francisco Bay, California

Ruhl, Catherine A.; Schoellhamer, David H.; Stumpf, Richard P.; Clare, Linda

doi:10.1006/ecss.2000.0730

Cited by 97 publications

(79 citation statements)

References 17 publications

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“…It has been recognised since long that remote sensing can be used to monitor the distribution of sediment plumes in coastal environments (e.g., Harrington et al, 1992;Ruhl et al, 2001;Hu et al, 2004). Water quality assessment of ocean and inland waters using satellite data has been carried out since the first remote sensing satellite Landsat-MSS became operational (Thiemann & Kaufmann, 2002).…”

Section: Mapping Sediment Concentrations and Light Climatementioning

confidence: 99%

Satellite-based monitoring of tropical seagrass vegetation: current techniques and future developments

Ferwerda¹,

Leeuw

Atzberger³

et al. 2007

Hydrobiologia

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Decline of seagrasses has been documented in many parts of the world. Reduction in water clarity, through increased turbidity and increased nutrient concentrations, is considered to be the primary cause of seagrass loss. Recent studies have indicated the need for new methods that will enable early detection of decline in seagrass extent and productivity, over large areas. In this review of current literature on coastal remote sensing, we examine the ability of remote sensing to serve as an information provider for seagrass monitoring. Remote sensing offers the potential to map the extent of seagrass cover and monitor changes in these with high accuracy for shallow waters. The accuracy of mapping seagrasses in deeper waters is unclear. Recent advances in sensor technology and radiometric transfer modelling have resulted in the ability to map suspended sediment, sea surface temperature and below-surface irradiance. It is therefore potentially possible to monitor the factors that cause the decline in seagrass status. When the latest products in remote sensing are linked to seagrass production models, it may serve as an early-warning system for seagrass decline and ultimately allow a better management of these susceptible ecosystems.

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Section: Mapping Sediment Concentrations and Light Climatementioning

confidence: 99%

Satellite-based monitoring of tropical seagrass vegetation: current techniques and future developments

Ferwerda¹,

Leeuw

Atzberger³

et al. 2007

Hydrobiologia

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“…Satellite remote sensing has increasingly provided synoptic views of suspended sediment dynamics leading to some of the first Environmental Data Records (EDR) of suspended sediments acquired daily and spanning decades (Stumpf and Pennock, 1989;Ruhl et al, 2001). More recently, satellites have been used to monitor suspended sediment and other water quality parameters such as chlorophylla (CHL-α) and colored dissolved organic matter (CDOM) (Matthews, 2011).…”

Section: Introductionmentioning

confidence: 99%

Estuarine Suspended Sediment Dynamics: Observations Derived from over a Decade of Satellite Data

2017

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Suspended sediment dynamics of Corpus Christi Bay, Texas, USA, a shallow-water wind-driven estuary, were investigated by combining field and satellite measurements of total suspended solids (TSS). An algorithm was developed to transform 500-m Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua satellite reflectance data into estimated TSS values. The algorithm was developed using a reflectance ratio regression of MODIS Band 1 (red) and Band 3 (green) with TSS measurements (n = 54) collected by the Texas Commission on Environmental Quality for Corpus Christi Bay and other Texas estuaries. The algorithm was validated by independently collected TSS measurements during the period of 2011-2014 with an uncertainty estimate of 13%. The algorithm was applied to the period of 2002-2014 to create a synoptic time series of TSS for Corpus Christi Bay. Potential drivers of long-term variability in suspended sediment were investigated. Median and IQR composites of suspended sediments were generated for seasonal wind regimes. From this analysis it was determined that long-term, spatial patterns of suspended sediment in the estuary are related to wind-wave resuspension during the predominant northerly and prevalent southeasterly seasonal wind regimes. The impact of dredging is also apparent in long-term patterns of Corpus Christi Bay as concentrations of suspended sediments over dredge spoil disposal sites are higher and more variable than surrounding areas, which is most likely due to their less consolidated sediments and shallower depths requiring less wave energy for sediment resuspension. This study highlights the advantage of how long-synoptic time series of TSS can be used to elucidate the major drivers of suspended sediments in estuaries.

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“…A daily value of 130 mm was recorded on 1 December 2013 and a cumulative one of about 200 mm for the entire event [33] was found at the Bradano river gauging station. An important contribution to SPMc variations may also be caused by wind-wave resuspension in shallow waters [8]. To better evaluate such an effect, wind data acquired by the Italian agency for environmental Protection and Research (ISPRA, [35]) were analyzed.…”

Section: Introductionmentioning

confidence: 99%

“…The registered wind intensity and direction are shown in Figure 3 by the length and the direction of the green bars respectively, measured every 10 min in the 1-13 December 2013 period. An important contribution to SPMc variations may also be caused by wind-wave resuspension in shallow waters [8]. To better evaluate such an effect, wind data acquired by the Italian agency for environmental Protection and Research (ISPRA, [35]) were analyzed.…”

Section: Introductionmentioning

confidence: 99%

On the Potential of Robust Satellite Techniques Approach for SPM Monitoring in Coastal Waters: Implementation and Application over the Basilicata Ionian Coastal Waters Using MODIS‐Aqua

et al. 2016

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Abstract:Monitoring river plume dynamics and variations in complex coastal areas can provide useful information to prevent marine environmental damage. In this work, the Robust Satellite Techniques (RST) approach has been implemented and tested on historical series of Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) data to monitor, for the first time, Suspended Particulate Matter (SPM) anomalies associated to river plumes. To this aim, MODIS-Aqua Level 1A data were processed using an atmospheric correction adequate for coastal waters, and SPM daily maps were generated applying an algorithm adapted from literature. The RST approach was then applied to these maps to assess the anomalous presence of SPM. The study area involves the Basilicata region coastal waters (Ionian Sea, South of Italy). A long-time analysis (2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015) conducted for the month of December allows us to find that the maximum SPM concentration value was registered in December 2013, when an extreme hydrological event occurred. A short-time analysis was then carried out applying RST to monitor the dynamics of anomalous SPM concentrations. Finally, the most exposed areas, in terms of SPM concentration, were identified. The results obtained in this work showed the RST high potential when used in combination with standard SPM daily maps to better characterize and monitor coastal waters.

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Combined Use of Remote Sensing and Continuous Monitoring to Analyse the Variability of Suspended-Sediment Concentrations in San Francisco Bay, California

Cited by 97 publications

References 17 publications

Satellite-based monitoring of tropical seagrass vegetation: current techniques and future developments

Satellite-based monitoring of tropical seagrass vegetation: current techniques and future developments

Estuarine Suspended Sediment Dynamics: Observations Derived from over a Decade of Satellite Data

On the Potential of Robust Satellite Techniques Approach for SPM Monitoring in Coastal Waters: Implementation and Application over the Basilicata Ionian Coastal Waters Using MODIS‐Aqua

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