InSAR Study of Shoreline Change along the Damietta Promontory, Egypt

Aly, Mohamed H.; Giardino, John R.; Klein, Andrew G.; Zebker, H. A.

doi:10.2112/jcoastres-d-11-00182.1

Cited by 11 publications

(10 citation statements)

References 12 publications

(15 reference statements)

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“…[6] The recent availability of satellite imagery over much of the Earth (Figure 1 shows an example for the Ganges-Brahmaputra-Jamuna Delta) [Syvitski, 2005] has greatly improved the quantitative analysis of geomorphic features. Examples of features mapped from satellite imagery include: number and size of distributary channels [Syvitski, 2005;Syvitski and Saito, 2007], container valleys, floodplain depressions, oxbow lakes [Syvitski et al, 2012], floodplain channel network and morphology [Trigg et al, 2012], shoreline erosion/accretion patterns [Aly et al, 2012], and flood area and volume [Rakwatin et al, 2013]. In terms of automatic feature extraction, the detection of roads and river networks has been addressed [e.g., Liu et al, 2001;Dillabaugh et al, 2002;Soille and Grazzini, 2007;Grazzini et al, 2010] by using mathematical morphology and other approaches employed in the extraction of linear features from images [e.g., Quackenbush, 2004].…”

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confidence: 99%

Geomorphic signatures of deltaic processes and vegetation: The Ganges‐Brahmaputra‐Jamuna case study

et al. 2013

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[1] Deltas are complex ecogeomorphic systems where features such as channels and interchannel islands are present over a wide range of spatial scales. A quantitative description of the morphology of deltas is fundamental to address how they react to changes in climate forcing and human pressure. In particular, it is interesting to ask how the distributary patterns we observe in coastal areas around the world result from processes and external forcing acting on deltas, and how such patterns might be related to deltaic function, vulnerability, and resilience. Using the example of the Ganges-Brahmaputra-Jamuna Delta, we show that the statistics of island size, shape factor, aspect ratio, and nearest-edge distance show distinct spatial patterns. Comparison between regions identified by our statistical analysis and a physiographic zonation of the delta suggests that the planform extracted from satellite imagery carries the signature of processes responsible for delta formation and evolution and of vegetation. The tidal region is characterized by high channel density, small islands, and short nearest-edge distance (shortest straight-line distance to the nearest water). The results suggest that regions of the delta characterized by presence of vegetation and active transport of water and sediment are statistically distinct from less active regions. Further, we perform a weighted connectivity analysis of the channel patterns based on channel width. The analysis suggests that channels connecting the upper portion of the delta to the coast do not play a significant role in the transport of water and sediment.Citation: Passalacqua, P., S. Lanzoni, C. Paola, and A. Rinaldo (2013), Geomorphic signatures of deltaic processes and vegetation: The Ganges-Brahmaputra-Jamuna case study,

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confidence: 99%

Geomorphic signatures of deltaic processes and vegetation: The Ganges‐Brahmaputra‐Jamuna case study

et al. 2013

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“…Spatial accretion (in green) and erosion (in red) patterns expressed in coastline change rates (m/year) for shore-normal transects eastward of Damietta port between 1993 and 2000. The results of Aly et al[18] are represented by dots and our results are represented by bars.…”

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confidence: 84%

“…The systematic mapping of the coastal impacts of African seaports has previously been hampered by (in-situ) data availability. Therefore, previous studies on the coastline evolution around African seaports have mostly focused on a single or a limited number of seaport(s) based on satellite imagery [9,11,[17][18][19][20][21], sometimes in combination with numerical models [11,20]. Each of the studies contributed significantly to the understanding of the coastline evolution around individual African seaports.…”

Section: Introductionmentioning

confidence: 99%

“…To minimize the risk of the error sources in verifying our results against literature, we focused on the studies with unsupervised coastline detection techniques. These are the studies of Wu [9] for Nouakchott in Mauritania, Aly et al [18] for Damietta in Egypt, Kassi et al [21] for Lomé in Togo, and Nassar et al [47] for El-Arish in Egypt. We derived the AOI from the publications and performed the composite SDS detection for the same time frame.…”

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confidence: 99%

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Mapping the Sandy Beach Evolution Around Seaports at the Scale of the African Continent

Boer

Mao

Hagenaars

et al. 2019

JMSE

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In Africa, several new seaport developments are being considered. In sedimentary environments, such port developments can have adverse impacts on the evolution of adjacent coastlines. To learn from past port engineering practice, we created a unique database containing the coastline evolution and characteristics of 130 existing African seaports. Whereas the systematic mapping of coastal impacts was previously hampered by data availability, innovative automated satellite image processing techniques have enabled us to intercompare ports at an unprecedented continental scale. We found large geographical differences with respect to the beach evolution. The total detected changes in the beach area between 1984 and 2018 totaled 44 km2, of which ca. 23 km2 is accretion and ca. 21 km2 is erosion. The top 10% “hotspot” ports account for more than 65% of these changes. These hotspots exhibit common characteristics, namely: they are located on open coastlines, have large alongshore sediment transport potential, and have large cross-shore breakwaters. Although these driving characteristics are well established in coastal engineering theory, our results indicate that the beaches adjacent to the existing seaports have been and remain seriously affected by these drivers. Our results can be used to inform beach maintenance strategies for existing seaports and to support planners and engineers to minimize long-term coastal impacts of port expansions and new port developments in Africa in the future.

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“…Many scientists analyses the historical maps from different points of view (UNESCO/ UNDP, 1978;Sestini, 1989;Frihy et al, 1991;. They used satellite images to delineate shorelines (Smith and Abdel-Kader, 1988;Frihy & Dewidar, 2003;Aly et al, 2012), calculated the shoreline change rates (Frihy et al, 2004;Dewidar and Frihy 2010;Deabes, 2017), studied the effect of hard structure on the orientation of Nile Delta shoreline Elsayed et al, 2005;Elsayed and Mahmoud, 2007;El Banna, 2007).…”

Section: Introductionmentioning

confidence: 99%

Three Decades Monitoring of Shoreline Change Pattern of Damietta Promontory, Nile Delta, Egypt

El-Gamal¹,

Balbaa²,

Rashed

et al. 2020

AST

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The Nile Delta is located on the Egyptian Mediterranean coast extending along nearly 240 km from the east of Alexandria to Port Said. The coastal area of the Nile Delta Promontories has been suffering extensive erosion problem. This was achieved after the construction of many water regulation structures in Nile River as dams and barrages, particularly the Aswan High Dam. It has nearly stopped the sediment flux carried by the Nile River to the Delta. This process has caused the Mediterranean Sea to reshape the Nile Delta coastal area. In order to cease these problems several engineering hard structures have been built. These structures avoided in ceasing the problem in the site of construction but shifted the erosion problem to the adjacent sites. This study aimed to analyze the shoreline change pattern on the term of three decades during the period between 1985 to 2015 at the coastal strip of Damietta Promontory and the impact of these protective structures on the coastal area. This was accomplished by the automated delineation of the successive shorelines covering this period using remote sensing imagery. The shorelines were extracted using the MNDWI index. The extracted shorelines were manipulated through the Digital Shoreline Analysis System (DSAS) software. The shoreline change rates were compared with sediments grain size for the past thirty years, heavy minerals content and radioactivity of recent marine sediment samples collected from different locations of marine profiles over the study area. The study revealed that Damietta Promontory has suffered from erosion during the study period reached its maximum shoreline retreat at the eastern side, nearly – 43 m/y. The total cumulative shoreline regression during the study period at this area was 1311m. The relation between the shoreline change process (erosion or accretion) and the physical parameters of coastal sediment showed that; as erosion increases, the heavy minerals content and radioactivity increases, while the mean grain size decreases and vice versa.

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InSAR Study of Shoreline Change along the Damietta Promontory, Egypt

Cited by 11 publications

References 12 publications

Geomorphic signatures of deltaic processes and vegetation: The Ganges‐Brahmaputra‐Jamuna case study

Geomorphic signatures of deltaic processes and vegetation: The Ganges‐Brahmaputra‐Jamuna case study

Mapping the Sandy Beach Evolution Around Seaports at the Scale of the African Continent

Three Decades Monitoring of Shoreline Change Pattern of Damietta Promontory, Nile Delta, Egypt

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