Prediction of Shoreline Recession Using Geospatial Technology: A Case Study of Chennai Coast, Tamil Nadu, India

Dar, Imran Ahmad; Dar, Mithas Ahmad

doi:10.2112/jcoastres-d-09-00051.1

Cited by 35 publications

(12 citation statements)

References 8 publications

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“…This approach carries the assumption that component errors are normally distributed (Dar and Dar, 2009). …”

Section: Shoreline Analysismentioning

confidence: 99%

Quantitative Analysis of Shoreline Change Using Medium Resolution Satellite Imagery in Keta, Ghana

Appeaning¹,

Jayson-Quashigah²,

Kufogbe³

2012

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Shoreline change analysis provides important information upon which most coastal zone management and intervention policies rely. Such information is however mostly scarce for large and inaccessible shorelines largely due to expensive field work. This study investigated the reliability of medium resolution satellite imagery for mapping shoreline positions and for estimating historic rate of change. Both manual and semi-automatic shoreline extraction methods for multi-spectral satellite imageries were explored. Five shoreline positions were extracted for 1986, 1991, 2001, 2007 and 2011 covering a medium term of 25 years period. Rates of change statistics were calculated using the End Point Rate and Weighted Linear Regression methods. Approximately 283 transects were cast at simple right angles along the entire coast at 200m interval. Uncertainties were quantified for the shorelines ranging from ±4.1m to ±5.5m. The results show that the Keta shoreline is a highly dynamic feature with average rate of erosion estimated to be about 2m/year ±0.44m. Individual rates along some transect reach as high as 16m/year near the estuary and on the east of the Keta Sea Defence site. The study confirms earlier rates of erosion calculated for the area and also reveals the influence of the Keta Sea Defence Project on erosion along the eastern coast of Ghana. The research shows that shoreline change can be estimated using medium resolution satellite imagery.

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“…This approach carries the assumption that component errors are normally distributed (Dar and Dar, 2009). …”

Section: Shoreline Analysismentioning

confidence: 99%

Quantitative Analysis of Shoreline Change Using Medium Resolution Satellite Imagery in Keta, Ghana

Appeaning¹,

Jayson-Quashigah²,

Kufogbe³

2012

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“…At least 70% beaches worldwide are in chronic erosion (Dar and Dar, 2009). Coastal erosion is also prevalent in China, with more than one third of shore-lines being eroded (Ji, 1996).…”

Section: Introductionmentioning

confidence: 99%

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

Hou

Wan

et al. 2016

Sci. China Earth Sci.

116

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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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“…The total shoreline position error was estimated using the equation: where n = shoreline number, E s is the error occurring from scale difference, E p is the photogrammetric error and E d is the digitising error. This approach carries the assumption that component errors are normally distributed (Dar & Dar 2009 ).…”

Section: Methodsmentioning

confidence: 99%

Coastal erosion management in Accra: Combining local knowledge and empirical research

Addo

2016

Jàmbá: Journal of Disaster Risk Studies

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Coastal erosion along the Accra coast has become a chronic phenomenon that threatens both life and property. The issue has assumed a centre stage of national debate in recent times because of its impact on the coastal communities. Lack of reliable geospatial data hinders effective scientific investigations into the changing trends in the shoreline position. However, knowledge about coastal erosion, by the local people, and how far the shoreline has migrated inland over time is high in the coastal communities in Accra. This opens a new chapter in coastal erosion research to include local knowledge of the local settlers in developing sustainable coastal management. This article adopted a scientific approach to estimate rate of erosion and tested the results against perceived erosion trend by the local settlers. The study used a 1974 digital topographic map and 1996 aerial photographs. The end point rate statistical method in DSAS was used to compute the rates of change. The short-term rate of change for the 22-year period under study was estimated as -0.91 m/annum ± 0.49 m/annum. It was revealed that about 79% of the shoreline is eroding, while the remaining 21% is either stabilised or accreting. It emerged, from semi-structured interviews with inhabitants in the Accra coastal communities, that an average of about 30 m of coastal lands are perceived to have been lost to erosion for a period of about 20 years. This translates to a historic rate of change of about 1.5 m/year, which corroborates the results of the scientific study. Again this study has established that the local knowledge of the inhabitants, about coastal erosion, can serve as reliable information under scarcity of scientific data for coastal erosion analyses in developing countries.

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Prediction of Shoreline Recession Using Geospatial Technology: A Case Study of Chennai Coast, Tamil Nadu, India

Cited by 35 publications

References 8 publications

Quantitative Analysis of Shoreline Change Using Medium Resolution Satellite Imagery in Keta, Ghana

Quantitative Analysis of Shoreline Change Using Medium Resolution Satellite Imagery in Keta, Ghana

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

Coastal erosion management in Accra: Combining local knowledge and empirical research

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