A single algorithm to retrieve turbidity from remotely-sensed data in all coastal and estuarine waters

Dogliotti, Ana Inés; Ruddick, Kevin; Nechad, Bouchra; Doxaran, David; Knaeps, Els

doi:10.1016/j.rse.2014.09.020

Cited by 356 publications

(299 citation statements)

References 53 publications

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“…In addition to SPM concentration, the water turbidity was measured in triplicate for each sample using a portable HACH 2100Q turbidimeter following the protocol described in [35]. Turbidity values for each triplicate were then averaged.…”

Section: Spm Concentration and Turbidity Measurementsmentioning

confidence: 99%

Potential of High Spatial and Temporal Ocean Color Satellite Data to Study the Dynamics of Suspended Particles in a Micro-Tidal River Plume

et al. 2016

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Ocean color satellite sensors are powerful tools to study and monitor the dynamics of suspended particulate matter (SPM) discharged by rivers in coastal waters. In this study, we test the capabilities of Landsat-8/Operational Land Imager (OLI), AQUA&TERRA/Moderate Resolution Imaging Spectroradiometer (MODIS) and MSG-3/Spinning Enhanced Visible and Infrared Imager (SEVIRI) sensors in terms of spectral, spatial and temporal resolutions to (i) estimate the seawater reflectance signal and then SPM concentrations and (ii) monitor the dynamics of SPM in the Rhône River plume characterized by moderately turbid surface waters in a micro-tidal sea. Consistent remote-sensing reflectance (Rrs) values are retrieved in the red spectral bands of these four satellite sensors (median relative difference less than~16% in turbid waters). By applying a regional algorithm developed from in situ data, these Rrs are used to estimate SPM concentrations in the Rhône river plume. The spatial resolution of OLI provides a detailed mapping of the SPM concentration from the downstream part of the river itself to the plume offshore limits with well defined small-scale turbidity features. Despite the low temporal resolution of OLI, this should allow to better understand the transport of terrestrial particles from rivers to the coastal ocean. These details are partly lost using MODIS coarser resolutions data but SPM concentration estimations are consistent, with an accuracy of about 1 to 3 g¨m´3 in the river mouth and plume for spatial resolutions from 250 m to 1 km. The MODIS temporal resolution (2 images per day) allows to capture the daily to monthly dynamics of the river plume. However, despite its micro-tidal environment, the Rhône River plume shows significant short-term (hourly) variations, mainly controlled by wind and regional circulation, that MODIS temporal resolution failed to capture. On the contrary, the high temporal resolution of SEVIRI makes it a powerful tool to study this hourly river plume dynamics. However, its coarse resolution prevents the monitoring of SPM concentration variations in the river mouth where SPM concentration variability can reach 20 g¨m´3 inside the SEVIRI pixel. Its spatial resolution is nevertheless sufficient to reproduce the plume shape and retrieve SPM concentrations in a valid range, taking into account an underestimation of about 15%-20% based on comparisons with other sensors and in situ data. Finally, the capabilities, advantages and limits of these satellite sensors are discussed in the light of the spatial and temporal resolution improvements provided by the new and future generation

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Section: Spm Concentration and Turbidity Measurementsmentioning

confidence: 99%

Potential of High Spatial and Temporal Ocean Color Satellite Data to Study the Dynamics of Suspended Particles in a Micro-Tidal River Plume

et al. 2016

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“…However, Case-2 waters, now frequently referred to as optically complex waters, present significant challenges for atmospheric correction and retrieval of in-water constituents concentration and many standard ocean colour algorithms perform poorly when applied to these waters (Alikas & Reinart, 2008;Witter et al, 2009;Binding et al, 2010). In recent years considerable effort has been invested in the development and validation of in-water algorithms tailored to optically complex waters and there is a rapidly growing body of literature demonstrating promising results for the retrieval of a range of biogeochemical constituents (Kutser et al, 2005;Giardino et al, 2010;Tarrant et al, 2010;Hunter et al, 2010;Matthews et al, 2010;Odermatt et al, 2010;Nechad et al, 2010;Dogliotti et al, 2015;Palmer et al, 2015;Ayana et al, 2015). Many of these studies have focused on individual lakes or small populations of lakes with comparable atmospheric and optical properties and it is almost certain that no single approach will perform adequately over the continuum of surface water bodies.…”

Section: Special Issue Science Of the Total Environmentmentioning

confidence: 99%

“…Many of these studies have focused on individual lakes or small populations of lakes with comparable atmospheric and optical properties and it is almost certain that no single approach will perform adequately over the continuum of surface water bodies. The development of adaptive algorithms offers one potential solution to this challenge (e.g., Dogliotti et al 2015) but an improved understanding of the performance and applicability of algorithms over different water optical types is also needed.…”

Section: Special Issue Science Of the Total Environmentmentioning

confidence: 99%

“…Regionallyspecific implementations and adaptations of already existing algorithms are also common in the literature (Budd & Warrington, 2004;Li et al, 2004;Yacobi et al, 2001;Palmer et al, 2015). Similarly, much effort has been devoted to the development of new retrieval algorithms for optically complex waters (Duan et al, 2010;Wang et al, 2011;Lah et al, 2014;Dogliotti et al, 2015). The expansion in the use of powerful inversion methods such as neural networks, the availability of in-situ data though dedicated databases such as MERMAID (http://mermaid.acri.fr) and LIMNADES (http://www.globolakes.ac.uk) and the improvement in quantity, quality and availability of Earth observation data have contributed to a growing list of retrieval algorithms.…”

Section: Figurementioning

confidence: 99%

“…For regionally-specific algorithms some attempts have been made to set limits on the Chl-a concentrations based on expected the values for the region (Rosado-Torres, 2008). Another recent approach has been to develop a single band semi-analytical algorithm using reflectance at 645 nm to 859 nm with a switching scheme to improve globally applicability for retrieving turbidity, which is almost independent IOPs of different particle types (Dogliotti et al, 2015). The advantage of this approach is that a regionally derived turbidity/TSM ratio can be used to convert from turbidity to estimates of TSM.…”

Section: Constituent Retrievalmentioning

confidence: 99%

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Developments in Earth observation for the assessment and monitoring of inland, transitional, coastal and shelf-sea waters

Tyler

Hunter

Spyrakos

et al. 2016

Science of The Total Environment

125

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The Earth's surface waters are a fundamental resource and encompass a broad range of ecosystems that are core to global biogeochemical cycling and food and energy production.Despite this, the Earth's surface waters are impacted by multiple natural and anthropogenic pressures and drivers of environmental change. The complex interaction between physical, chemical and biological processes in surface waters poses significant challenges for in situ monitoring and assessment and often limits our ability to adequately capture the dynamics of aquatic systems and our understanding of their status, functioning and response to pressures. Here we explore the opportunities that Earth observation (EO) has to offer to basin-scale monitoring of water quality over the surface water continuum comprising inland, transition and coastal water bodies, with a particular focus on the Danube and Black Sea region. This review summarises the technological advances in EO and the opportunities that the next generation satellites offer for water quality monitoring. We provide an overview of algorithms for the retrieval of water quality parameters and demonstrate how such models have been used for the assessment and monitoring of inland, transitional, coastal and shelfsea systems. Further, we argue that very few studies have investigated the connectivity between these systems especially in large river-sea systems such as the Danube-Black Sea. Subsequently, we describe current capability in operational processing of archive and near real-time satellite data. We conclude that while the operational use of satellites for the assessment and monitoring of surface waters is still developing for inland and coastal waters and more work is required on the development and validation of remote sensing algorithms for these optically complex waters, the potential that these data streams offer for developing an improved, potentially paradigm-shifting understanding of physical and biogeochemical processes across large scale river-sea continuum including the Danube-Black Sea is considerable.

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Grundlagen und Möglichkeiten der passiven Fernerkundung von Binnengewässern

Baschek

Fricke

Dörnhöfer

et al. 2018

Handbuch Angewandte Limnologie: Grundlagen ‐ Gewässerbelastung ‐ Restaurierung ‐ Aquatische Ökotoxikologie ‐ Bewertung ‐ Gewäss

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A single algorithm to retrieve turbidity from remotely-sensed data in all coastal and estuarine waters

Cited by 356 publications

References 53 publications

Potential of High Spatial and Temporal Ocean Color Satellite Data to Study the Dynamics of Suspended Particles in a Micro-Tidal River Plume

Potential of High Spatial and Temporal Ocean Color Satellite Data to Study the Dynamics of Suspended Particles in a Micro-Tidal River Plume

Developments in Earth observation for the assessment and monitoring of inland, transitional, coastal and shelf-sea waters

Grundlagen und Möglichkeiten der passiven Fernerkundung von Binnengewässern

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