View in EDS HTML Full Text PDF Full Text

Understanding the Optical Behavior and Spectral Signature of Dredging-Induced Plumes in Coastal Waters.

Saved in:
Bibliographic Details
Title: Understanding the Optical Behavior and Spectral Signature of Dredging-Induced Plumes in Coastal Waters.
Authors: Doxaran, David1 (AUTHOR) david.doxaran@imev-mer.fr, Mayot, Isabella1,2 (AUTHOR), De Keukelaere, Liesbeth2,3 (AUTHOR), Moelans, Robrecht1,2 (AUTHOR), Verdoodt, Niels2,3 (AUTHOR), Knaeps, Els2,3 (AUTHOR)
Source: Remote Sensing. May2026, Vol. 18 Issue 9, p1428. 26p.
Subjects: Dredging, Optical properties, Spectral sensitivity, Coasts, Plumes (Fluid dynamics), Suspended solids, Remote sensing
Abstract: Highlights: What are the main findings? Particles in suspension in dredge plumes have peculiar (rather spectrally flat) light absorption properties. Dredge plumes have a specific spectral signature significantly different from natural turbid waters (e.g., river plumes), i.e., with a higher water reflectance signal at short visible wavelengths (400–550 nm), as detected in water reflectance spectra derived from atmospherically corrected satellite data. What are the implications of the main findings? Dredge plumes can be identified from ocean color satellite data, i.e., distinguished from natural turbid waters. High-spatial-resolution (e.g., Sentinel2-MSI) satellite data can be used for the operational monitoring of dredge plumes in coastal waters. Dredging activities regularly occurring in near-shore and coastal waters generate turbid waters within the surface layer with high concentrations of suspended particulate matter collected in bottom sediments. The potential impact of these dredge plumes on natural ecosystems must be monitored using cost-effective methods and observations. Here, we investigate the biogeochemical and optical properties of dredge plumes selected mainly in European and African coastal waters. Laboratory analyses realized on numerous water samples collected in dredge plumes reveal (extremely) high water turbidity and high concentrations of inorganic particles in suspension, sometimes mixed with high concentrations of phytoplankton particles. The most peculiar optical property of these particles is a spectral light absorption coefficient significantly flatter than that of suspended particles in natural turbid waters (e.g., river plumes or estuarine maximum turbidity zones). This peculiar optical property is also detected on ocean color satellite data corrected for atmospheric effects, with a water reflectance signal higher than natural turbid waters at short visible wavebands (400–550 nm). Such an atypical spectral signature, which can be detected and mapped from space, makes the operational monitoring of dredge plumes in coastal waters using high-spatial-resolution (e.g., Sentinel2-MSI) satellite data possible. [ABSTRACT FROM AUTHOR]
Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 193715459
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Understanding the Optical Behavior and Spectral Signature of Dredging-Induced Plumes in Coastal Waters.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Doxaran%2C+David%22">Doxaran, David</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> david.doxaran@imev-mer.fr</i><br /><searchLink fieldCode="AR" term="%22Mayot%2C+Isabella%22">Mayot, Isabella</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22De+Keukelaere%2C+Liesbeth%22">De Keukelaere, Liesbeth</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Moelans%2C+Robrecht%22">Moelans, Robrecht</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Verdoodt%2C+Niels%22">Verdoodt, Niels</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Knaeps%2C+Els%22">Knaeps, Els</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. May2026, Vol. 18 Issue 9, p1428. 26p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Dredging%22">Dredging</searchLink><br /><searchLink fieldCode="DE" term="%22Optical+properties%22">Optical properties</searchLink><br /><searchLink fieldCode="DE" term="%22Spectral+sensitivity%22">Spectral sensitivity</searchLink><br /><searchLink fieldCode="DE" term="%22Coasts%22">Coasts</searchLink><br /><searchLink fieldCode="DE" term="%22Plumes+%28Fluid+dynamics%29%22">Plumes (Fluid dynamics)</searchLink><br /><searchLink fieldCode="DE" term="%22Suspended+solids%22">Suspended solids</searchLink><br /><searchLink fieldCode="DE" term="%22Remote+sensing%22">Remote sensing</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Highlights: What are the main findings? Particles in suspension in dredge plumes have peculiar (rather spectrally flat) light absorption properties. Dredge plumes have a specific spectral signature significantly different from natural turbid waters (e.g., river plumes), i.e., with a higher water reflectance signal at short visible wavelengths (400–550 nm), as detected in water reflectance spectra derived from atmospherically corrected satellite data. What are the implications of the main findings? Dredge plumes can be identified from ocean color satellite data, i.e., distinguished from natural turbid waters. High-spatial-resolution (e.g., Sentinel2-MSI) satellite data can be used for the operational monitoring of dredge plumes in coastal waters. Dredging activities regularly occurring in near-shore and coastal waters generate turbid waters within the surface layer with high concentrations of suspended particulate matter collected in bottom sediments. The potential impact of these dredge plumes on natural ecosystems must be monitored using cost-effective methods and observations. Here, we investigate the biogeochemical and optical properties of dredge plumes selected mainly in European and African coastal waters. Laboratory analyses realized on numerous water samples collected in dredge plumes reveal (extremely) high water turbidity and high concentrations of inorganic particles in suspension, sometimes mixed with high concentrations of phytoplankton particles. The most peculiar optical property of these particles is a spectral light absorption coefficient significantly flatter than that of suspended particles in natural turbid waters (e.g., river plumes or estuarine maximum turbidity zones). This peculiar optical property is also detected on ocean color satellite data corrected for atmospheric effects, with a water reflectance signal higher than natural turbid waters at short visible wavebands (400–550 nm). Such an atypical spectral signature, which can be detected and mapped from space, makes the operational monitoring of dredge plumes in coastal waters using high-spatial-resolution (e.g., Sentinel2-MSI) satellite data possible. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=193715459
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/rs18091428
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 26
        StartPage: 1428
    Subjects:
      – SubjectFull: Dredging
        Type: general
      – SubjectFull: Optical properties
        Type: general
      – SubjectFull: Spectral sensitivity
        Type: general
      – SubjectFull: Coasts
        Type: general
      – SubjectFull: Plumes (Fluid dynamics)
        Type: general
      – SubjectFull: Suspended solids
        Type: general
      – SubjectFull: Remote sensing
        Type: general
    Titles:
      – TitleFull: Understanding the Optical Behavior and Spectral Signature of Dredging-Induced Plumes in Coastal Waters.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Doxaran, David
      – PersonEntity:
          Name:
            NameFull: Mayot, Isabella
      – PersonEntity:
          Name:
            NameFull: De Keukelaere, Liesbeth
      – PersonEntity:
          Name:
            NameFull: Moelans, Robrecht
      – PersonEntity:
          Name:
            NameFull: Verdoodt, Niels
      – PersonEntity:
          Name:
            NameFull: Knaeps, Els
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 20724292
          Numbering:
            – Type: volume
              Value: 18
            – Type: issue
              Value: 9
          Titles:
            – TitleFull: Remote Sensing
              Type: main
ResultId 1