Detection and analysis of shoreline changes using geospatial tools and automatic computation: Case of jijelian sandy coast (East Algeria)

Kermani, Saci; Boutiba, Makhlouf; Guendouz, Mostefa; Guettouche, Mohamed Saïd; Khelfani, Dalila

doi:10.1016/j.ocecoaman.2016.08.010

Cited by 102 publications

(40 citation statements)

References 17 publications

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“…Both methodologies can be applied to vectorized coastlines independently from their originality (raster basemap used for digitizing the coastline). DSAS was, in the past, used with shorelines digitized from aerial photographs and VHR satellite images [44,45,47,48] or medium resolution satellite data [7,11,12,86]. The main concept in all these studies is that the raster data should have a similar spatial resolution and very accurate georeferencing.…”

Section: Discussionmentioning

confidence: 99%

“…The same software was used with diverse Landsat Thematic Mapper and Enhanced Thematic Mapper images during a 25-year period to derive the shoreline changes in Egypt [7]. In another example, diachronic aerial photographs and Quick-bird satellite data were used in combination with DSAS [44] in order to detect and measure the shoreline movements at the Bay of Jijel (eastern Algeria). Multitemporal and satellite dataset have been interpreted with DSAS for the change detection in 112 km of shoreline in India [11].…”

Section: Digital Shoreline Analysis System (Dsas)mentioning

confidence: 99%

“…Topographic maps, Google Earth images, and Landsat Thematic Mapper data were combined to map shoreline changes along the mangrove ecosystem of East Indonesia [43]. A study combining aerial photographs from three different dates (1960, 1973, and 1988) and Quickbird imagery from 2014 focused on the changes in coastline location in the Bay of Jijel (eastern Algeria) [44]. Aerial photographs and a variety of VHR satellite images (Quickbird, Worldview-1, and Worldview-2) were analyzed to map the shoreline changes from 1943 to 2012 in Papua New Guinea [45].…”

Section: Introductionmentioning

confidence: 99%

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Combination of Aerial, Satellite, and UAV Photogrammetry for Mapping the Diachronic Coastline Evolution: The Case of Lefkada Island

Nikolakopoulos

Kyriou

Koukouvelas

et al. 2019

IJGI

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Coastline evolution is a proxy of coastal erosion, defined as the wasting of land along the shoreline due to a combination of natural and/or human causes. For countries with a sea border, where a significant proportion of the population lives in coastal areas, shoreline retreat has become a very serious global problem. Remote sensing data and photogrammetry have been used in coastal erosion mapping for many decades. In the current study, multi-date analogue aerial photos, digital aerial photos, and declassified satellite imagery provided by the U.S. Geological Survey (USGS), Pleiades satellite data, and unmanned aerial vehicle images were combined for accurate mapping of the southwestern Lefkada (Ionian Sea, Greece) coastline over the last 73 years. Different photogrammetric techniques were used for the orthorectifation of the remote sensing data, and geographical information systems were used in order to calculate the rates of shoreline change. The results indicated that the southwest shoreline of Lefkada Island is under dynamic equilibrium. This equilibrium is strongly controlled by geological parameters, such as subsidence of the studied shoreline during co-seismic deformation and mass wasting. The maximum accretion rate was calculated at 0.55 m per year, while the respective erosion rate reached −1.53 m per year.

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Section: Discussionmentioning

confidence: 99%

Section: Digital Shoreline Analysis System (Dsas)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Combination of Aerial, Satellite, and UAV Photogrammetry for Mapping the Diachronic Coastline Evolution: The Case of Lefkada Island

Nikolakopoulos

Kyriou

Koukouvelas

et al. 2019

IJGI

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“…This method possesses simplicity and has acceptable results as well, and is able to control and evaluate the results of the research process and its reliability is approved [21].…”

Section: Introductionmentioning

confidence: 99%

Detection of Shifts in the Southeastern Coastline of the Caspian Sea with Landsat MSS, TM and ETM+ Images in 1977, 1987 and 2001

Hoseini¹,

Ashournejad²

2018

J Coast Zone Manag

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Journal of Coastal Zone Management AbstractShorelines are the most important linear phenomena on earth's surface that have a dynamic nature. Thus, favorite coastal management and environmental protection towards sustainable development requires the extraction of the coastline and its changes. For this purpose, coastal zone monitoring in an appropriate time context is of great importance. As one of reliable and rather accurate sources, remote sensing data and satellite imagery in different periods are used for investigation and interpretation of shoreline changes and quantitative measurements. In this study, we tried to apply a new method to determine the shoreline changes using remote sensing and geographic information system. This method possesses simplicity and has acceptable results as well and is able to control and evaluate the results of the research process and its reliability is approved. Since the results of coastline changes are considered as the fundamental basis for analysis and other related applications, the data integrity and no other possible errors are essential. To control the accuracy of the extracted data on cross sections perpendicular to the coastline, statistical tests of sample, median absolute deviation, Z-Score and box plot was used. The results, confirms that the extracted data have no errors.

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“…Bheeroo et al (2016) [38] carried out a risk assessment of the north-western side of the Mauritius coastline and addressed changes in the coastal environment with reference to high energy wave action and storms. Kermani et al (2016) [39] used aerial photographs and high resolution satellite images of the Bay of Jijel in Eastern Algeria to investigate changes in morpho-dynamics of the shoreline. Ozturk and Sesli (2015) [15] used historical…”

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confidence: 99%

Coastline Vulnerability Assessment through Landsat and Cubesats in a Coastal Mega City

et al. 2020

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According to the Intergovernmental Panel on Climate Change (IPCC), global mean sea levels may rise from 0.43 m to 0.84 m by the end of the 21st century. This poses a significant threat to coastal cities around the world. The shoreline of Karachi (a coastal mega city located in Southern Pakistan) is vulnerable mainly due to anthropogenic activities near the coast. Therefore, the present study investigates rates and susceptibility to shoreline change using a 76-year multi-temporal dataset (1942 to 2018) through the Digital Shoreline Analysis System (DSAS). Historical shoreline positions were extracted from the topographic sheets (1:250,000) of 1942 and 1966, the medium spatial resolution (30 m) multi-sensor Landsat images of 1976, 1990, 2002, 2011, and a high spatial resolution (3 m) Planet Scope image from 2018, along the 100 km coast of Karachi. The shoreline was divided into two zones, namely eastern (25 km) and western (29 km) zones, to track changes in development, movement, and dynamics of the shoreline position. The analysis revealed that 95% of transects drawn for the eastern zone underwent accretion (i.e., land reclamation) with a mean rate of 14 m/year indicating that the eastern zone faced rapid shoreline progression, with the highest rates due to the development of coastal areas for urban settlement. Similarly, 74% of transects drawn for the western zone experienced erosion (i.e., land loss) with a mean rate of −1.15 m/year indicating the weathering and erosion of rocky and sandy beaches by marine erosion. Among the 25 km length of the eastern zone, 94% (23.5 km) of the shoreline was found to be highly vulnerable, while the western zone showed much more stable conditions due to anthropogenic inactivity. Seasonal hydrodynamic analysis revealed approximately a 3% increase in the average wave height during the summer monsoon season and a 1% increase for the winter monsoon season during the post-land reclamation era. Coastal protection and management along the Sindh coastal zone should be adopted to defend against natural wave erosion and the government must take measures to stop illegal sea encroachments.Remote Sens. 2020, 12, 749 2 of 24 developments in coastal areas [1,2]. Therefore, shoreline indicators are used for a consistent representation of a shoreline. The most common shoreline indicators are the tidal datum (e.g., a specific elevation at the land-ocean boundary) and visually discernible features (e.g., a revetment structure, an erosion scarp, a previous high-tide high-water level, low-tide low-water level, or dune vegetation line, etc.) [3][4][5][6][7][8]. The shoreline is an indicator of the ecological health of coastal areas [3,[9][10][11]. In past decades, the development of mega-infrastructure projects in coastal areas for urbanization/industrialization has placed more stress on the coastal ecosystem and changed ocean hydrodynamics [12][13][14][15][16]. Unplanned coastal development coupled with the natural action of ocean processes has led to the increasing vulnerability of low lying coasta...

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Detection and analysis of shoreline changes using geospatial tools and automatic computation: Case of jijelian sandy coast (East Algeria)

Cited by 102 publications

References 17 publications

Combination of Aerial, Satellite, and UAV Photogrammetry for Mapping the Diachronic Coastline Evolution: The Case of Lefkada Island

Combination of Aerial, Satellite, and UAV Photogrammetry for Mapping the Diachronic Coastline Evolution: The Case of Lefkada Island

Detection of Shifts in the Southeastern Coastline of the Caspian Sea with Landsat MSS, TM and ETM+ Images in 1977, 1987 and 2001

Coastline Vulnerability Assessment through Landsat and Cubesats in a Coastal Mega City

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