A Simple, Fully Automated Shoreline Detection Algorithm for High-Resolution Multi-Spectral Imagery

Abdelhady, Hazem U.; Troy, Cary D.; Habib, Ayman; Manish, Raja

doi:10.3390/rs14030557

Cited by 25 publications

(10 citation statements)

References 31 publications

(60 reference statements)

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“…The water elevation associated with the detected water includes the tidal level, and wave runup (including setup and swash) [48]. Previous studies on the applications of remote sensing on the waterline extraction or coastal evolution have evaluated the effect of wave runup [49,50]. To discuss the limitation of the method employed in this study, in situ measured wave data were used to estimate the magnitude of the wave runup.…”

Section: Limitation and Assumption Of The Methodsmentioning

confidence: 99%

Mapping Morphodynamic Variabilities of a Meso-Tidal Flat in Shanghai Based on Satellite-Derived Data

et al. 2022

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Morphodynamic variabilities of tidal flats (e.g., the variations of pattern, area, and topography) are a key issue in the management of coastal intertidal zones. In this study, the morphodynamic variabilities of the Lin-gang (Shanghai) tidal flat were investigated using waterlines extracted from multi-source satellite images acquired from 2013 to 2020. The waterlines were evaluated against in situ measurements. The results of our investigation indicated that the tidal flat was in a state of rapid accretion from 2015 to 2018, and in a state of erosion from 2018 to 2020. We found that the accretion of the tidal flat was most likely due to the protection of local vegetation, which prevents the sea bottom from eroding. However, storms have primarily been causing erosion since 2018. The potential mechanisms of the geomorphological variations were further analyzed using the empirical orthogonal function (EOF) method. The analysis revealed that the variation in the tidal flat was dominated by two modes. The first mode accounted for 55% of the variation, while the second mode accounted for 18%. The spatial distribution of the first mode was highly related to the artificial vegetation, indicating that the local variations in the vegetation prevented the sea bottom from eroding, which was dominant in the accretional phase from 2015 to 2018. The second model reflected the extreme meteorological events that resulted in potential changes in the tidal flat’s pattern (i.e., transitioning to an erosion phase from 2018 to 2020). The satellite-derived topographies were demonstrated to be an effective means of mapping the evolution of a meso-tidal flat.

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Section: Limitation and Assumption Of The Methodsmentioning

confidence: 99%

Mapping Morphodynamic Variabilities of a Meso-Tidal Flat in Shanghai Based on Satellite-Derived Data

et al. 2022

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“…Coastal heritage sites are considered to be particularly fragile because they are continuously exposed to the dramatic effects of climate change and extreme meteorological events that represent one of the main threatening risks (Aucelli et al, 2016; Kapelan, 2013; Themistocleous et al, 2016) at both local and global level (the coastlines of the world are over 440 000 km in length). Due to climate change events, major fluvial and coastal risks have been enhanced with even more frequent floods, storms, fast coastline movements and river migration (Abdelhady et al, 2022; Salomon et al, 2018). Undoubtedly, the global warming phenomenon has spread widely in recent decades (Cuca & Hadjimitsis, 2017; Paravolidakis et al, 2018), so today climate change is one of the main factors that adversely impact cultural heritage and landscapes.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, the DSAS tool was used to forecast the changes expected in the future.The wider applicability in other contexts of the approach herein proposed is made possible by the wide free availability of long-time series of satellite data and open modelling tools. Indeed, the use of modern satellite data along, with ancillary information such as past topographic maps and modelling tools such as DSAS, can allow for the mapping of accurate details of shorelines over large-scale areas in the long term(Abdelhady et al, 2022). In more detail, the optical satellite data of Corona, Landsat, Quick bird, Spot, Sentinel2 and so forth are also integrated with radar satellite data(Orengo & Petrie, 2017;Tapete & Cigna, 2017) and can be used (to understand, detect and calculate the changes in the shorelines over the last 50 years;Crassard et al, 2013).…”

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confidence: 99%

Tracking the effects of the long‐term changes on the coastal archaeological sites of the Mediterranean using remote sensing data: The case study from the northern shoreline of Nile Delta of Egypt

Elfadaly

Abutaleb

Naguib

et al. 2023

Archaeological Prospection

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Climate change effects along with anthropogenic activities present the main factors that threaten the existence of heritage sites across the north Nile Delta of Egypt close to the coastline of the Mediterranean Sea. Observing the changes in the landscape close to the archaeological sites is an important issue for decision‐makers in terms of reducing the negative impact of natural events and human activities. The coastal heritage sites are becoming strongly threatened by the rising sea level phenomena that will happen due to global warming. Focusing on the distribution of the archaeological sites, this study aims to detect the areas at risk of shoreline erosion or accretion in the northern shoreline of the Nile Delta. In this study, the changes in the northern shoreline of the Nile Delta were observed and calculated during the last hundred years based on the integration between the old topographic maps from surveys in 1900, 1925 and 1945, optical satellite images captured by Landsat in 1972, 1986 and 2000; Sentinel2 2021; and the Radar SRTM data. The results of this study showed that the changes were enormous with a great shoreline erosion process over the last 121 years recorded along the shoreline in the periods between 1900–1925, 1925–1945, 1945–1972, 1972–1986, 1986–2000 and 2000–2021. The areas eroded were about 5.3, 4.7, 5.6, 8.9, 2.5 and 5.4 km2, respectively. Such negative movements caused the loss of two heritage sites, and the expected changes will lead to the loss of additional heritage sites in the next 500 years. Furthermore, a model was suggested for protecting the coastal heritage sites threatened by the risk of submergence. This study can help the decision‐makers to detect the coastal archaeological sites at risk and create innovative solutions for protecting these irreplaceable heritage sites.

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“…So a necessity for a high-resolution dataset with high accuracy is always demanded. 22 Nowadays, the evolution of remote sensing (RS), using high-resolution data, [23][24][25][26][27] has significantly reduced the margins of uncertainty and renders results with great accuracy while the detection of the shoreline is mainly achieved by image processing. 28 The synergy of high-resolution satellite imagery and high-scale aerial photos has become a very accurate combination in order to study the coastal zone changes.…”

Section: Introductionmentioning

confidence: 99%

Identifying sandy sites under erosion regime along the Prefecture of Achaia, using remote sensing techniques

Apostolopoulos

Nikolakopoulos

2022

J. Appl. Rem. Sens.

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The application of remote sensing (RS) in the treatment of problems caused by natural phenomena, such as coastal erosion, has proven to be very effective. An attempt was made to reveal areas that are in a state of erosion along the coastline of the Prefecture of Achaia, elongated ∼185 km. The study area comprised the Gulf of Patras in the west and a part of the Corinth Gulf to the east, which are connected through the narrow and shallow Rion Straits. The system of the two Gulfs consists of a Plio-Quaternary asymmetric grabens trending northeastsouthwest (NE-SW) and west-northwest (WNW)east-southeast (ESE), respectively. The shoreline evolution is estimated for the 1945 to 2016 period with the usage of high-resolution data, using RS and geographic information system techniques. An extension of ArcGIS, the digital shoreline analysis system tool, version 5 beta, has been used for the analysis of shoreline changes, whereas the ERDAS Imagine 2014 was used for the image georeferencing and orthomosaicing process. Various statistical indices were computed including the end point rate and the linear regression rate. Although these tools did not take into concern any of the local geological parameters, the results are similar to the respective derived from conventional survey techniques. Eight sandy areas were revealed that are under erosion regime: the Araxos, Karnari, Kalamaki, Drepano, Loggos, Akoli, Diacopto, and Akrata, while the future shoreline position was estimated for each coast using the forecasting beta tool of the DSASv.5.0, after 10 and 20 years since 2016. We found that it is very likely all sites will show the same trend of change in the next 10 and 20 years, similar to those computed using the available data from 1945 to 2016. The tectonic behavior of the Gulf of Corinth seems that it mainly affects the area's erosion/ accretion regime, while changes in the areas adjacent to the Gulf of Patras are related to natural processes (waves, currents, coastal floods, extreme rainfalls, etc.) and anthropogenic interventions. Moreover, the Araxos and Karnari coasts are at 65.71% and 64.41% under moderate erosion regime with rates of change −0.62 and −1.10 m∕year, respectively. Kalamaki, Akoli, and Loggos percentages of 82.35%, 86.67%, and 86.23% are under low erosion, with rates of change −0.28, −0.21, and −0.34 m∕year, respectively. Drepano and Diacopto are under low erosion, with rates of change −0.26 and −0.16 m∕year, corresponding to 54.55% and 38.67% of the coast, respectively. Finally, Akrata is a coast where erosion prevails at 60.42% with annual rate of change −0.16 m∕year, whereas the 43.38% of the coast correspond to stable area.

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A Simple, Fully Automated Shoreline Detection Algorithm for High-Resolution Multi-Spectral Imagery

Cited by 25 publications

References 31 publications

Mapping Morphodynamic Variabilities of a Meso-Tidal Flat in Shanghai Based on Satellite-Derived Data

Mapping Morphodynamic Variabilities of a Meso-Tidal Flat in Shanghai Based on Satellite-Derived Data

Tracking the effects of the long‐term changes on the coastal archaeological sites of the Mediterranean using remote sensing data: The case study from the northern shoreline of Nile Delta of Egypt

Identifying sandy sites under erosion regime along the Prefecture of Achaia, using remote sensing techniques

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