Remote Sensing of Epibenthic Shellfish Using Synthetic Aperture Radar Satellite Imagery
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 potenti...
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ftdoajarticles:oai:doaj.org/article:be941c76fe7e424889afb07c7f968164 2023-05-15T17:54:20+02:00 Remote Sensing of Epibenthic Shellfish Using Synthetic Aperture Radar Satellite Imagery Sil Nieuwhof Peter M. J. Herman Norbert Dankers Karin Troost Daphne van der Wal 2015-03-01T00:00:00Z https://doi.org/10.3390/rs70403710 https://doaj.org/article/be941c76fe7e424889afb07c7f968164 EN eng MDPI AG http://www.mdpi.com/2072-4292/7/4/3710 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs70403710 https://doaj.org/article/be941c76fe7e424889afb07c7f968164 Remote Sensing, Vol 7, Iss 4, Pp 3710-3734 (2015) SAR epibenthic shellfish oyster mussel mapping surface roughness Science Q article 2015 ftdoajarticles https://doi.org/10.3390/rs70403710 2022-12-31T10:54:23Z 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. Article in Journal/Newspaper Pacific oyster Directory of Open Access Journals: DOAJ Articles Pacific Remote Sensing 7 4 3710 3734 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
SAR epibenthic shellfish oyster mussel mapping surface roughness Science Q |
spellingShingle |
SAR epibenthic shellfish oyster mussel mapping surface roughness Science Q Sil Nieuwhof Peter M. J. Herman Norbert Dankers Karin Troost Daphne van der Wal Remote Sensing of Epibenthic Shellfish Using Synthetic Aperture Radar Satellite Imagery |
topic_facet |
SAR epibenthic shellfish oyster mussel mapping surface roughness Science Q |
description |
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. |
format |
Article in Journal/Newspaper |
author |
Sil Nieuwhof Peter M. J. Herman Norbert Dankers Karin Troost Daphne van der Wal |
author_facet |
Sil Nieuwhof Peter M. J. Herman Norbert Dankers Karin Troost Daphne van der Wal |
author_sort |
Sil Nieuwhof |
title |
Remote Sensing of Epibenthic Shellfish Using Synthetic Aperture Radar Satellite Imagery |
title_short |
Remote Sensing of Epibenthic Shellfish Using Synthetic Aperture Radar Satellite Imagery |
title_full |
Remote Sensing of Epibenthic Shellfish Using Synthetic Aperture Radar Satellite Imagery |
title_fullStr |
Remote Sensing of Epibenthic Shellfish Using Synthetic Aperture Radar Satellite Imagery |
title_full_unstemmed |
Remote Sensing of Epibenthic Shellfish Using Synthetic Aperture Radar Satellite Imagery |
title_sort |
remote sensing of epibenthic shellfish using synthetic aperture radar satellite imagery |
publisher |
MDPI AG |
publishDate |
2015 |
url |
https://doi.org/10.3390/rs70403710 https://doaj.org/article/be941c76fe7e424889afb07c7f968164 |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
Pacific oyster |
genre_facet |
Pacific oyster |
op_source |
Remote Sensing, Vol 7, Iss 4, Pp 3710-3734 (2015) |
op_relation |
http://www.mdpi.com/2072-4292/7/4/3710 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs70403710 https://doaj.org/article/be941c76fe7e424889afb07c7f968164 |
op_doi |
https://doi.org/10.3390/rs70403710 |
container_title |
Remote Sensing |
container_volume |
7 |
container_issue |
4 |
container_start_page |
3710 |
op_container_end_page |
3734 |
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1766162086702874624 |