Using ArcGIS® Modelbuilder and Aerial Photographs to Measure Coastline Retreat and Advance: North of France

Chaaban, Fadi; Darwishe, Hanan; Battiau-Queney, Yvonne; Louche, Barbara; Masson, Éric; Khattabi, Jamal El; Carlier, Érick

doi:10.2112/jcoastres-d-11-00054.1

Cited by 31 publications

(23 citation statements)

References 12 publications

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“…A major portion of the coast of northern France consists of wide sandy beaches and coastal dunes protecting low‐lying backshore areas from marine flooding (Figure ) despite a considerable expansion of urban and port areas during the twentieth century. Although the shoreline was stable or even prograded seaward in places during the last decades (Anthony et al , ; Héquette and Aernouts, ; Chaaban et al , ), several coastal areas underwent severe erosion during the same period (Aernouts and Héquette, ; Chaverot et al , ) while flooding sporadically occurred locally during major storms (Maspataud et al , ). The coast of northern France is densely populated and several areas are low reclaimed lands located below mean sea level and exposed to coastal hazards (erosion, marine flooding).…”

Section: Introductionmentioning

confidence: 99%

Variations in the response of the dune coast of northern France to major storms as a function of available beach sediment volume

Crapoulet

Héquette

Marin

et al. 2017

Earth Surf Processes Landf

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A series of airborne topographic LiDAR data were obtained from May 2008 to January 2014 over two coastal sites of northern France (Bay of Wissant and east of Dunkirk). These data were used with wind and tide gauge measurements to assess the impacts of storms on beaches and coastal dunes, and particularly of the series of major storms that hit western Europe during the fall and early winter of 2013. Our results show a high variability in shoreline response from one site to the other, but also within each coastal site. Coastal dune erosion and shoreline retreat occurred at both sites, particularly on the coast of the Bay of Wissant where shoreline retreat up to about 40 m was measured. However, stability or even shoreline advance were also observed despite the occurrence of an extreme water level with a return period >100 years during the storm Xaver in early December 2013. Comparison of shoreline change with variations of coastal dune and upper beach volumes revealed only weak relationships. Our results nevertheless showed that shoreline behavior seems to strongly depend on the initial sediment volume on the upper beach before the occurrence of the storms. According to our measurements, an upper beach volume of about 30 m3 m−1 between the dune toe and the mean high water level is sufficient at these sites to protect the coastal dunes from storm waves associated with high water levels with return periods >10 years. The identification of such thresholds in terms of upper beach width or sediment volume may represent valuable information for improving the management of shoreline change by providing an estimate of the minimum quantity of sand on the upper beach necessary to ensure shoreline stability in this region. Copyright © 2016 John Wiley & Sons, Ltd.

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Section: Introductionmentioning

confidence: 99%

Variations in the response of the dune coast of northern France to major storms as a function of available beach sediment volume

Crapoulet

Héquette

Marin

et al. 2017

Earth Surf Processes Landf

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“…At all stages of the described methodology the Greek Geodetic Reference System of 1987 (GGRS '87) was used (Mugnier, 2002). The panchromatic aerial photographs were scanned with a high resolution scanner (1200 dpi) (Chaaban et al, 2012) and were ortho-rectified using photogrammetric software (Vassilakis and Papadopoulou-Vrynioti, 2014). During the orthorectification procedure of both the scanned aerial photographs and the digital satellite images, a high resolution digital elevation model was used.…”

Section: Methodsmentioning

confidence: 99%

Shoreline Change Detection and Coastal Erosion Monitoring Using Digital Processing of a Time Series of High Spatial Resolution Remote Sensing Data

2017

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The long term change of the shoreline is a phenomenon, which is factored in the design of construction projects along the coastal zone. This study presents a methodology that aims to quantify the shoreline displacement rate. (1987, 1996) and latest generation, digital, multispectral, high resolution satellite images (2000, 2008, 2012 (1987, 1996) και σύγχρονων ψηφιακών πολυφασματικών δορυφορικών εικόνων με υψηλή διακριτική ικανότητα (2000, 2008, 2012

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“…Note that all Aerial photos geo-referenced depending on the modern referent space photo in order to compare the land marks in the two photos, such as an intersection or corner of the building through the geographic information system(Arc-GIS.103). The errors associated with accuracy of vertical photography for Aerial photos, the reflection of the image, the sources of other errors such as heat, height and pressure exerted on the camera and the overlap among all these errors can lead to distortions in the Aerial photo (Chaaban 2011). …”

Section: Data Of Remote Sensingmentioning

confidence: 99%

Estimate the Rate of Shoreline Change Using the Statistical Analysis Technique (Epr)

Sebat¹,

Salloum²

2018

BIT

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Coastal areas are naturally dynamic with the changes occurring over periods of time. To monitor shoreline changes this study has been used digital shoreline analysis system (DSAS), which is an extension for Arc GIS 10.3 software developed by USUG. Several statistical methods are used to calculate the shoreline change rate with the most commonly used being end point rate (EPR) calculations. ERP calculations are simply the rates determined based on the changes in position between the oldest and the most recent shoreline a given dataset. A total of transects built in the Al Kabir-Al Shamali river estuary have values less than zero (i.e. the value of (EPR= -2.8) shows the highest retreating and outside of the error margin (± 10m), while the transect lines which have positive values higher than zero (i.e. advance shows of the highest degree in the Alfaid land region). The value of EPR (+1.81) shows the advanced shoreline and the transects are shown in gradients close to the red to indicate sedimentation.

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Using ArcGIS® Modelbuilder and Aerial Photographs to Measure Coastline Retreat and Advance: North of France

Cited by 31 publications

References 12 publications

Variations in the response of the dune coast of northern France to major storms as a function of available beach sediment volume

Variations in the response of the dune coast of northern France to major storms as a function of available beach sediment volume

Shoreline Change Detection and Coastal Erosion Monitoring Using Digital Processing of a Time Series of High Spatial Resolution Remote Sensing Data

Estimate the Rate of Shoreline Change Using the Statistical Analysis Technique (Epr)

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