Automatic detection of shoreline change: case of North Sinai coast, Egypt

Nassar, Karim; Fath, Hassan E.S.; Mahmod, Wael Elham; Masria, Ali; Nadaoka, Kazuo; Negm, Abdelazim

doi:10.1007/s11852-018-0613-1

Cited by 34 publications

(19 citation statements)

References 28 publications

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“…The common indicator that shows the variations in coastal regions is Digital Shoreline Analysis System (DSAS) as a software continuation in the Environmental System Research Institute (ESRI) ArcGIS© [43] [44]. However, Nassar et al [45] investigated on the Egypt shoreline changes from year 1989 to 2016 along North Sinai coast through geographic information system (GIS) and digital shoreline analysis system (DSAS). Changes shoreline including erosion and accretion patterns were taken into account by four (4) statistical parameters which are shoreline movement (NSM), endpoint rate (EPR), net linear regression rate (LRR), and least median of squares (LMS).…”

Section: B Digital Shoreline Analysis System (Dsas)mentioning

confidence: 99%

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Erosion Caused by Coastal Structure

2019

ijeat

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Coastal structure such as jetties, groins, sea walls, breakwaters, etc. along the coast can alter the shoreline and morphological structure of coastline. Presence of the coastal structure gives impact like sediment trapping on upstream side of the structure and causing shore erosion along adjacent shorelines. Therefore, this paper presents attempts to describe the coastal erosion process effected by a different kind of coastal structure. Generally, it takes time to notes the impact of coastal erosion, therefore several methods are adapted to identify the erosion by surface sediment sampling and beach profile measurement. These measurements are conducted by conventional and high-technology method such as manual surface sediment sampling, Real-Time Kinematic (RTK) GPS, LiDAR and UAV. In terms of analysis, these methods can be approach with variable techniques and applications. However, this review paper briefly described the commonly used technique and application in finding the result of eroded coastal.

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Section: B Digital Shoreline Analysis System (Dsas)mentioning

confidence: 99%

“…Example of fixed bin options (left) for rates of change dataset (LRR, EPR, and WLR), and scaled to data (right) (NSM)[45] …”

mentioning

confidence: 99%

Erosion Caused by Coastal Structure

2019

ijeat

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“…At present, remote sensing (RS) image-based methods have become common for monitoring coastline changes due to their large coverage and low cost [16][17][18][19][20][21][22]. Many scholars have researched coastline changes, and the potential causes of these changes have been analyzed and recognized [23].…”

Section: Introductionmentioning

confidence: 99%

Spatial-Temporal Characteristics of Coastline Changes in Indonesia from 1990 to 2018

et al. 2020

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As a valuable resource in coastal areas, coastlines are not only vulnerable to natural processes such as erosion, siltation, and disasters, but are also subjected to strong pressures from human processes such as urban growth, resource development, and pollution discharge. This is especially true for reef nations with rich coastline resources and a large population, like Indonesia. The technical joint of remote sensing (RS) and geographic information system (GIS) has significant advantages for monitoring coastline changes on a large scale and for quantitatively analyzing their change mechanisms. Indonesia was taken as an example in this study because of its abundant coastline resources and large population. First, Landsat images from 1990 to 2018 were used to obtain coastline information. Then, the index of coastline utilization degree (ICUD) method, the changes in land and sea patterns method, and the ICUD at different scales method were used to reveal the spatiotemporal change pattern for the coastline. The results found that: (1) Indonesia’s total coastline length has increased by 777.40 km in the past 28 years, of which the natural coastline decreased by 5995.52 km and the artificial coastline increased by 6771.92 km. (2) From the analysis of the island scale, it was known that the island with the largest increase in ICUD was Kalimantan, at the expense of the mangrove coastline. (3) On the provincial scale, the province with the largest change of ICUD was Sumatera Selatan Province, which increased from 100 in 1900 to 266.43 in 2018. (4) The change trend of the land and sea pattern for the Indonesian coastline was mainly expanded to the sea. The part that eroded to the land was relatively small; among which, Riau Province had the most significant expansion of land area, about 177.73 km2, accounting for 23.08% of the increased national land area. The worst seawater erosion was in the Jawa Barat Province. Based on the analysis of population and economic data during the same period, it was found that the main driving mechanism behind Indonesia’s coastline change was population growth, which outweighed the impact of economic development. However, the main constraint on the Indonesian coastline was the topographic factor. The RS and GIS scheme used in this study can not only provide support for coastline resource development and policy formulation in Indonesia, but also provide a valuable reference for the evolution of coastline resources and environments in other regions around the world.

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“…That is leads to the intense and increasingly ongoing development especially in the coastal zone. The human activities within the coastal zone may be interrupt the supply of sand to the coast by constructing cities and harbors, dams and flood control works, navigation structures, as well as gas/oil/water extraction, (Magoon, Edge, & Stone, 2000).…”

Section: Introductionmentioning

confidence: 99%

“…Coastal erosion under the effect of natural factors (waves, currents, tide, climate changes and sea level rise) is easy to identify, but the human effect on the coastal zone is not easy to report, (Magoon et al, 2000). It is because the short-term impact of human activities within the coastal zone may be difficult to quantify.…”

Section: Introductionmentioning

confidence: 99%

Stability of the Northern coast of Egypt under the effect of urbanization and climate change

Iskander

2020

Water Science

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Automatic detection of shoreline change: case of North Sinai coast, Egypt

Cited by 34 publications

References 28 publications

Erosion Caused by Coastal Structure

Erosion Caused by Coastal Structure

Spatial-Temporal Characteristics of Coastline Changes in Indonesia from 1990 to 2018

Stability of the Northern coast of Egypt under the effect of urbanization and climate change

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