Waterline extraction from Landsat TM data in a tidal flatA case study in Gomso Bay, Korea

Ryu, Ja‐Hyoung; Won, Joong-Sun; Min, Kyung Duck

doi:10.1016/s0034-4257(02)00059-7

Cited by 336 publications

(194 citation statements)

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“…As the return energy is sampled at different wavelengths, including those that are favorable for distinguishing water [15], extracting shorelines from spectral satellite data is relatively easy and even possible at sub-pixel level [16]. Landsat missions, for example, have been collecting spectral satellite imagery for over forty years now, making it possible to assess coastal dynamics over decades [17,18] and at a worldwide scale.…”

Section: Introductionmentioning

confidence: 99%

Semi-Automated Monitoring of a Mega-Scale Beach Nourishment Using High-Resolution TerraSAR-X Satellite Data

et al. 2017

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This paper presents a semi-automated approach to detecting coastal shoreline change with high spatial-and temporal-resolution using X-band synthetic aperture radar (SAR) data. The method was applied at the Sand Motor, a "mega-scale" beach nourishment project in the Netherlands. Natural processes, like waves, wind, and tides, gradually distribute the highly concentrated sand to adjacent beaches. Currently, various in-situ techniques are used to monitor the Sand Motor on a monthly basis. Meanwhile, the TerraSAR-X satellite collects two high-resolution (3 × 3 m), cloud-penetrating SAR images every 11 days. This study investigates whether shorelines detected in TerraSAR-X imagery are accurate enough to monitor the shoreline dynamics of a project like the Sand Motor. The study proposes and implements a semi-automated workflow to extract shorelines from all 182 available TerraSAR-X images acquired between 2011 and 2014. The shorelines are validated using bi-monthly RTK-GPS topographic surveys and nearby wave and tide measurements. A valid shoreline could be extracted from 54% of the images. The horizontal accuracy of these shorelines is approximately 50 m, which is sufficient to assess the larger scale shoreline dynamics of the Sand Motor. The accuracy is affected strongly by sea state and partly by acquisition geometry. We conclude that using frequent, high-resolution TerraSAR-X imagery is a valid option for assessing coastal dynamics on the order of tens of meters at approximately monthly intervals.

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Section: Introductionmentioning

confidence: 99%

Semi-Automated Monitoring of a Mega-Scale Beach Nourishment Using High-Resolution TerraSAR-X Satellite Data

et al. 2017

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“…For fuzzy images, the proportions of waterlines' accuracy within 30, 60, and 90 m were 68.5%, 85.5%, and 95.1%, respectively. While using a combination of the NIR and a visible band that is not always reliable when turbidity is extremely high [24], we successfully used the NDWI combined with visual interpretation to extract waterlines on fuzzy images and ensure that most waterlines' accuracies fall within three pixels. However, further evaluation of waterline mapping on tidal flats is required, preferably with on-ground reference data collected at known tide stages and heights that can be matched to the time imagery taken [24].…”

Section: Resultsmentioning

confidence: 99%

“…Threshold segmentation can separate water from other land-cover types effectively despite impurities (nonwater information) in the water. However, tidal conditions, remnant surface water, and other environmental parameters often result in imprecise or "fuzzy" waterline locations [24]. We adopted a semiautomatic method in this study to extract waterlines that minimized this imprecision.…”

Section: Waterline Extractionmentioning

confidence: 99%

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An Improved Method for Mapping Tidal Flats Based on Remote Sensing Waterlines: A Case Study in the Bohai Rim, China

Gao

Ning

et al. 2016

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Abstract-Tidal flats form boundaries between marine and terrestrial environments, and reported rapid decreases in their extent require improved measures of their status. Current methods for delineating tidal flats have low accuracy because of the limited precision of available imagery, and they cannot identify zones within tidal flats. Three zones within tidal flats are ecologically distinct due to their varied inundation. These include the supratidal, intertidal, and subtidal zones. In this study, we present a more precise method for mapping tidal flats. We used Chinese HJ-1A/B satellite images with a semiautomatic extraction method to generate a sufficient number of waterline estimates taken at various tide heights to delineate the full extent of tidal flats. Then, the full set of waterline estimates is analyzed with the Digital Shoreline Analysis System (DSAS) using Jenks Natural Breaks to identify three zones within tidal flats. We demonstrated the utility of this approach by mapping tidal flats of the Bohai Rim, China. In 2014, the estimate of available tidal flats in the region was 3093 km 2 , among which the area of supratidal, intertidal, and subtidal zones accounted for 5.0%, 84.3%, and 10.7%, respectively. A confusion matrix for accuracy assessment revealed a 93.8% overall accuracy for the resulting tidal flat map. Our method enables tidal flats to be mapped and monitored precisely and comprehensively, providing baseline data on the extent of this disappearing ecosystem that can be used to inform coastal planning and sustainable development.

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“…However, that could be applicable for cases which have remarkable changes of magnitude such as river delta or river mouth (Pardo-Pascual et al, 2012). Several techniques to rectify and extract shoreline position from Landsat images and associated uncertainties can be found in Feyisaa et al (2014); Maiti and Bhattacharya (2009);Pardo-Pascual et al (2012) and Ryu et al (2002). While, the technique and relevant uncertainties when extract shoreline position from high-resolution aerial photographs can be found from Pradjoko and Tanaka (2010).…”

Section: Introductionmentioning

confidence: 99%

Investigation of Morphological Change at the Cua Dai River Mouth Through Satellite Image Analysis

Tanaka

Hoang

Nguyen

2017

Int. Conf. Coastal. Eng.

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Morphology of Cua Dai River mouth and adjacent sandy beaches in Hoi An City, Vietnam has been being eroded severely in recent years. Based on analysis of Landsat images, the long-term evolution, decadal scale, of morphology at this area since 1975 to 2015 is discussed. Morphology of river mouth in the period from 1975 to 1991 is highly similar to one in the period from 2003 to 2015, long sandspit on the left side and cuspate shoreline (cuspate foreland) on the right side, whereas the formation of double sandspit and welding between them after that was observed in the period from 1995 to 2002. From the characteristics of morphological change, there are three types of river mouth formed during the 40-year long period are classified. In addition, results of image analysis also indicate that the right bank of river shifted southward about 250 m. This is corresponding to the period with elongation of sandspit on the left after welding from offshore sandbar. The tip of cuspate shoreline on the right side was also observed to move to the south during the period that right river bank shifting southward. Besides the reduction of sediment supply to the river mouth, the shifting to south of main river channel diverting more sediment deposit on the right side of the river mouth, resulting in the erosion of the Cua Dai Beach on the left side became more serious. Countermeasure, which diverts more sediment to the left side, is highly required. Detailed effectiveness and magnitude of this structure can be evaluated based on numerical simulation.

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Waterline extraction from Landsat TM data in a tidal flatA case study in Gomso Bay, Korea

Cited by 336 publications

References 12 publications

Semi-Automated Monitoring of a Mega-Scale Beach Nourishment Using High-Resolution TerraSAR-X Satellite Data

Semi-Automated Monitoring of a Mega-Scale Beach Nourishment Using High-Resolution TerraSAR-X Satellite Data

An Improved Method for Mapping Tidal Flats Based on Remote Sensing Waterlines: A Case Study in the Bohai Rim, China

Investigation of Morphological Change at the Cua Dai River Mouth Through Satellite Image Analysis

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