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Shoreline Delineation from Synthetic Aperture Radar (SAR) Imagery for High and Low Tidal States in Data-Deficient Niger Delta Region

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dc.citedby3
dc.contributor.authorDike E.C.en_US
dc.contributor.authorOyetunji A.K.en_US
dc.contributor.authorAmaechi C.V.en_US
dc.contributor.authorid57194337934en_US
dc.contributor.authorid57192178716en_US
dc.contributor.authorid57204818354en_US
dc.date.accessioned2024-10-14T03:17:54Z
dc.date.available2024-10-14T03:17:54Z
dc.date.issued2023
dc.description.abstractSatellite image analysis is a potentially powerful tool for monitoring coastal shoreline positions. This study explores the use of multi-temporal, dual-polarised Sentinel-1 GRD synthetic aperture radar (SAR) imagery with a spatial resolution of 10 m for delineating shorelines. It was conducted in a data-deficient and complex environment (the Niger delta of Nigeria), in a developing country with a cloud-heavy climate. The study focuses on exploring and testing the capability of using multitemporal waterlines from SAR images to derive shoreline positions at high and low tidal states. From 54 Sentinel-1 images recorded in 2017, the study selected 12 images to represent both high and low tidal states. These were spread across the wet and dry seasons in order to account for seasonal differences. Shoreline positions were obtained by identifying the land�water boundary via segmentation using histogram-minimum thresholding, vectorizing and smoothing that boundary, and averaging its position over multiple waterlines. The land�water segmentation had an overall accuracy of 95�99%. It showed differences between wet and dry season shoreline positions in areas dominated by complex creek networks, but similarities along open coasts. The SAR-derived shorelines deviated from the reference lines by a maximum of 43 m (approximately four pixels), and often less than 10 m (one pixel) in most locations (open coast, estuarine, complex creek networks) at high and low tides, except low tide lines in areas with extensive inter-tidal flats at shorelines 70 m to 370 m from the reference lines. However, for applications such as coastal vulnerability assessment, the high tide shoreline is of greater importance. Thus, depending on the application of interest, problems with low tide shoreline delineation may be irrelevant. Despite limitations, notably the relatively small number of images available that were recorded at high or low tide, the method provides a simple, objective, and cost-effective approach to monitoring shorelines at high and low tide. � 2023 by the authors.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo1528
dc.identifier.doi10.3390/jmse11081528
dc.identifier.issue8
dc.identifier.scopus2-s2.0-85168874963
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85168874963&doi=10.3390%2fjmse11081528&partnerID=40&md5=c59a6c474ec814533e51c4bbf9034464
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34083
dc.identifier.volume11
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)en_US
dc.relation.ispartofAll Open Access
dc.relation.ispartofGold Open Access
dc.sourceScopus
dc.sourcetitleJournal of Marine Science and Engineering
dc.subjectbackscatter
dc.subjectcoastal data
dc.subjectNiger Delta
dc.subjectpositional accuracy
dc.subjectshoreline delineation
dc.subjectsynthetic aperture radar (SAR)
dc.subjectthresholding
dc.subjectvectorizing
dc.titleShoreline Delineation from Synthetic Aperture Radar (SAR) Imagery for High and Low Tidal States in Data-Deficient Niger Delta Regionen_US
dc.typeArticleen_US
dspace.entity.typePublication
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