Remote sensing of epibenthic shellfish using Synthetic Aperture Radar satellite imagery

Sil Nieuwhof (Corresponding Author), Peter M.J. Herman, Norbert Dankers, Karin Troost, Daphne Van Der Wal

Research output: Contribution to journalArticleAcademicpeer-review

10 Citations (Scopus)

Abstract

On intertidal mudflats, reef-building shellfish, like the Pacific oyster and the blue mussel, provide a myriad of ecosystem services. Monitoring intertidal shellfish with high spatiotemporal resolution is important for fisheries, coastal management and ecosystem studies. Here, we explore the potential of X- (TerraSAR-X) and C-band (Radarsat-2) dual-polarized SAR data to map shellfish densities, species and coverage. We investigated two backscatter models (the integral equation model (IEM) and Oh's model) for inversion possibilities. Surface roughness (vertical roughness RMSz and correlation length L) was measured of bare sediments and shellfish beds, which was then linked to shellfish density, presence and species. Oysters, mussels and bare sediments differed in RMSz, but because the backscatter saturates at relatively low RMSz values, it was not possible to retrieve shellfish density or species composition from X- and C-band SAR. Using a classification based on univariate and multivariate logistic regression of the field and SAR image data, we constructed maps of shellfish presence (Kappa statistics for calibration 0.56-0.74 for dual-polarized SAR), which were compared with independent field surveys of the contours of the beds (Kappa statistics of agreement 0.29-0.53 when using dual-polarized SAR). We conclude that spaceborne SAR allows one to monitor the contours of shellfish-beds (thus, distinguishing shellfish substrates from bare sediment and dispersed single shellfish), but not densities and species. Although spaceborne SAR cannot replace ground surveys entirely, it could very well offer a significant improvement in efficiency.

Original languageEnglish
Pages (from-to)3710-3734
Number of pages25
JournalRemote sensing
Volume7
Issue number4
DOIs
Publication statusPublished - 2015
Externally publishedYes

Fingerprint

radar imagery
shellfish
satellite imagery
synthetic aperture radar
remote sensing
backscatter
sediment
TerraSAR-X
coastal zone management
mudflat
surface roughness
ecosystem service
field survey
roughness
logistics
reef
fishery
calibration
substrate

Keywords

  • Epibenthic shellfish
  • Mapping
  • Mussel
  • Oyster
  • SAR
  • Surface roughness
  • ITC-ISI-JOURNAL-ARTICLE
  • ITC-GOLD

Cite this

Nieuwhof, Sil ; Herman, Peter M.J. ; Dankers, Norbert ; Troost, Karin ; Van Der Wal, Daphne. / Remote sensing of epibenthic shellfish using Synthetic Aperture Radar satellite imagery. In: Remote sensing. 2015 ; Vol. 7, No. 4. pp. 3710-3734.
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abstract = "On intertidal mudflats, reef-building shellfish, like the Pacific oyster and the blue mussel, provide a myriad of ecosystem services. Monitoring intertidal shellfish with high spatiotemporal resolution is important for fisheries, coastal management and ecosystem studies. Here, we explore the potential of X- (TerraSAR-X) and C-band (Radarsat-2) dual-polarized SAR data to map shellfish densities, species and coverage. We investigated two backscatter models (the integral equation model (IEM) and Oh's model) for inversion possibilities. Surface roughness (vertical roughness RMSz and correlation length L) was measured of bare sediments and shellfish beds, which was then linked to shellfish density, presence and species. Oysters, mussels and bare sediments differed in RMSz, but because the backscatter saturates at relatively low RMSz values, it was not possible to retrieve shellfish density or species composition from X- and C-band SAR. Using a classification based on univariate and multivariate logistic regression of the field and SAR image data, we constructed maps of shellfish presence (Kappa statistics for calibration 0.56-0.74 for dual-polarized SAR), which were compared with independent field surveys of the contours of the beds (Kappa statistics of agreement 0.29-0.53 when using dual-polarized SAR). We conclude that spaceborne SAR allows one to monitor the contours of shellfish-beds (thus, distinguishing shellfish substrates from bare sediment and dispersed single shellfish), but not densities and species. Although spaceborne SAR cannot replace ground surveys entirely, it could very well offer a significant improvement in efficiency.",
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year = "2015",
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Remote sensing of epibenthic shellfish using Synthetic Aperture Radar satellite imagery. / Nieuwhof, Sil (Corresponding Author); Herman, Peter M.J.; Dankers, Norbert; Troost, Karin; Van Der Wal, Daphne.

In: Remote sensing, Vol. 7, No. 4, 2015, p. 3710-3734.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Remote sensing of epibenthic shellfish using Synthetic Aperture Radar satellite imagery

AU - Nieuwhof, Sil

AU - Herman, Peter M.J.

AU - Dankers, Norbert

AU - Troost, Karin

AU - Van Der Wal, Daphne

PY - 2015

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N2 - On intertidal mudflats, reef-building shellfish, like the Pacific oyster and the blue mussel, provide a myriad of ecosystem services. Monitoring intertidal shellfish with high spatiotemporal resolution is important for fisheries, coastal management and ecosystem studies. Here, we explore the potential of X- (TerraSAR-X) and C-band (Radarsat-2) dual-polarized SAR data to map shellfish densities, species and coverage. We investigated two backscatter models (the integral equation model (IEM) and Oh's model) for inversion possibilities. Surface roughness (vertical roughness RMSz and correlation length L) was measured of bare sediments and shellfish beds, which was then linked to shellfish density, presence and species. Oysters, mussels and bare sediments differed in RMSz, but because the backscatter saturates at relatively low RMSz values, it was not possible to retrieve shellfish density or species composition from X- and C-band SAR. Using a classification based on univariate and multivariate logistic regression of the field and SAR image data, we constructed maps of shellfish presence (Kappa statistics for calibration 0.56-0.74 for dual-polarized SAR), which were compared with independent field surveys of the contours of the beds (Kappa statistics of agreement 0.29-0.53 when using dual-polarized SAR). We conclude that spaceborne SAR allows one to monitor the contours of shellfish-beds (thus, distinguishing shellfish substrates from bare sediment and dispersed single shellfish), but not densities and species. Although spaceborne SAR cannot replace ground surveys entirely, it could very well offer a significant improvement in efficiency.

AB - On intertidal mudflats, reef-building shellfish, like the Pacific oyster and the blue mussel, provide a myriad of ecosystem services. Monitoring intertidal shellfish with high spatiotemporal resolution is important for fisheries, coastal management and ecosystem studies. Here, we explore the potential of X- (TerraSAR-X) and C-band (Radarsat-2) dual-polarized SAR data to map shellfish densities, species and coverage. We investigated two backscatter models (the integral equation model (IEM) and Oh's model) for inversion possibilities. Surface roughness (vertical roughness RMSz and correlation length L) was measured of bare sediments and shellfish beds, which was then linked to shellfish density, presence and species. Oysters, mussels and bare sediments differed in RMSz, but because the backscatter saturates at relatively low RMSz values, it was not possible to retrieve shellfish density or species composition from X- and C-band SAR. Using a classification based on univariate and multivariate logistic regression of the field and SAR image data, we constructed maps of shellfish presence (Kappa statistics for calibration 0.56-0.74 for dual-polarized SAR), which were compared with independent field surveys of the contours of the beds (Kappa statistics of agreement 0.29-0.53 when using dual-polarized SAR). We conclude that spaceborne SAR allows one to monitor the contours of shellfish-beds (thus, distinguishing shellfish substrates from bare sediment and dispersed single shellfish), but not densities and species. Although spaceborne SAR cannot replace ground surveys entirely, it could very well offer a significant improvement in efficiency.

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KW - Mapping

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KW - Oyster

KW - SAR

KW - Surface roughness

KW - ITC-ISI-JOURNAL-ARTICLE

KW - ITC-GOLD

UR - https://doi.org10.3390/rs70403710

UR - https://ezproxy2.utwente.nl/login?url=https://webapps.itc.utwente.nl/library/2015/isi/vanderwal_rem.pdf

U2 - 10.3390/rs70403710

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EP - 3734

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SN - 2072-4292

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