Automatic detection of shoreline change on coastal Ramsar wetlands of Turkey

Kuleli, Tuncay; Güneroğlu, Abdulaziz; Karslı, Fevzi; Dihkan, Mustafa

doi:10.1016/j.oceaneng.2011.05.006

Cited by 241 publications

(128 citation statements)

References 28 publications

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“…Zhang et al (2004), Kuleli et al (2011), Romine and Fletcher (2013) used CCR to quantitatively analyze coastline movement in northeast USA, Turkey, and Hawaiian Islands, respectively. National Shoreline Assessment Project, implemented by USGS, also employed CCR to conduct in-depth analysis on coastline change in different regions in USA.…”

Section: Characteristics Of Coastline Change Ratementioning

confidence: 99%

Characteristics of coastline changes in mainland China since the early 1940s

Hou

Wan

et al. 2016

Sci. China Earth Sci.

109

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Based on multi-temporal topographic maps, remote sensing images and field surveys covering the entire coastal zone of mainland China, the coastlines of six periods since the early 1940s were extracted. Coastline changes over the last 70 years were then analyzed in terms of coastline structure, coastline fractals, coastline change rates, land-sea patterns, and bay areas. The results showed that mainland coastline structure changed dramatically, and due to the significant coastline artificialization mainly driven by sea reclamation and coastal engineering, the remaining natural coastline merely accounts for less than one third at present. Coastline fractal dimension represented an overall spatial pattern of "north < entirety < south"; however, the discrepancy between the north and south coast was apparently narrowed due to dramatic coastline artificialization of northern China which in turn altered the whole pattern. Patterns and processes of land-sea interchange along the mainland coast were complex and varied spatially and temporally, with over 68% advancing toward sea and 22% retreating toward land. The net growth of land area was nearly 14.2 ×10 3 km 2 with an average growth rate of 202.82 km 2 a  ; and coast retreat was characterized by area decrease of 93 bays with a magnitude of 10.1 ×10 3 km 2 and an average shrinking rate up to 18.19% or an average shrinking speed up to 144.20 km 2 a  , among which the total area of Bohai shrunk by 7.06%, with an average annual loss amounting to 82 km 2 . The dramatic coastline changes along mainland China have brought about kinds of challenges to the coastal environment, therefore the integrated management, effective environment protection and sustainable utilization of coastlines is urgent.

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Section: Characteristics Of Coastline Change Ratementioning

confidence: 99%

Characteristics of coastline changes in mainland China since the early 1940s

Hou

Wan

et al. 2016

Sci. China Earth Sci.

109

View full text Add to dashboard Cite

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“…Remote sensing and geographical information system (GIS) techniques have been used widely to assess changes in coastal shorelines (Chen and Rau, 1998;Ghosh et al, 2001;Lin et al, 2001; Van der Wal et al, 2002;Ali, 2003; Vanderstraete et al, 2006;Genz et al, 2007;Maiti and Bhattacharya, 2009;Sesli et al, 2009;Rebelo et al, 2009;Kuleli, 2010;Kuleli et al, 2011;and Hai-Hoa et al, 2013) and the boundaries of mangrove forests and other habitats over time (Woodroffe, 1995;Solomon et al, 1997;El-Raey et al, 1999;Wilton and Saintilan, 2000;Saintilan and Wilton, 2001;Cohen and Lara, 2003;Dahdouh-Guebas et al, 2004;Fromard et al, 2004;Souza Filho et al, 2006;Gilman et al, 2007;Satyanarayana et al, 2011;Giri et al, 2011;Heumann, 2011;and Nfotabong-Atheull et al, 2013). The Digital Shoreline Analysis System (DSAS) is an extension to ArcMap and was introduced to automatically or manually generate measurements of transects and metadata based on user-specified parameters, calculating rates of shoreline (2013) changes and to provide other statistical information (Thieler et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Application of remote sensing and GIS for detection of long-term mangrove shoreline changes in Mui Ca Mau, Vietnam

et al. 2014

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Abstract. Mui Ca Mau at the southern tip of Vietnam supports a large area of mangroves and has a high value for biodiversity and scenic beauty. This area is affected by erosion along the East Sea and accretion along the Gulf of Thailand, leading to the loss of huge stretches of mangroves along the East Sea and, in some cases, loss of environmental and ecosystem services provided by mangroves. In this study, we used remotely sensed aerial (1953), Landsat (1979Landsat ( , 1988Landsat ( and 2000 and SPOT (1992SPOT ( , 1995SPOT ( , 2004SPOT ( , 2008SPOT ( , 2009SPOT ( and 2011 images and the Digital Shoreline Analysis System (DSAS) to quantify the rate of mangrove shoreline change for a 58 yr period. There were 1129 transects sampled at 100 m intervals along the mangrove shoreline and two statistical methods, namely end point rate (EPR) and linear regression rate (LRR), were used to calculate the rate of change of mangrove shorelines and distance from 1953 to 2011. The study confirms that erosion and accretion, respectively, are significant at the East Sea and Gulf of Thailand sides of Mui Ca Mau. The East Sea side had a mean erosion LRR of 33.24 m yr −1 . The accretion trend at the Gulf of Thailand side had an average rate of 40.65 m yr −1 . The results are important in predicting changes of coastal ecosystem boundaries and enable advanced planning for specific sections of coastline, to minimize or neutralize losses, to inform provincial rehabilitation efforts and reduce threats to coastal development and human safety.

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“…Over 92,000 water birds of various species winter at the site. In recent years, eutrophication, deforestation, illegal constructions and coastal erosion have become increasingly problematic in Kızılırmak coastal wetland (Kuleli et al, 2011). The location of Bafra alluvial plain is shown in Fig.2 and Fig.3.…”

Section: Case Study-1: Coastal Erosion Problem At the Kızılırmak Rivementioning

confidence: 99%