Shoreline changes and morphology of spits along southern Karnataka, west coast of India: A remote sensing and statistics-based approach

Kumar, Avinash; Narayana, A. C.; Jayappa, K. S.

doi:10.1016/j.geomorph.2010.02.023

Cited by 116 publications

(41 citation statements)

References 31 publications

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“…in Ezer and Liu, 2010). The morphology of coastal areas is affected by sediment supply, sea level change, littoral transport, storm surges, as well as hydrodynamics at the river mouths of deltaic areas (Kumar et al, 2010). Tidal flat morphology, for example, changes with the tidal cycle, and this can affect navigation, coastal defence, fishing, etc.…”

Section: Z N Musa Et Al: a Review Of Applications Of Satellite Sarmentioning

confidence: 99%

See 1 more Smart Citation

A review of applications of satellite SAR, optical, altimetry and DEM data for surface water modelling, mapping and parameter estimation

Musa

Popescu

Mynett

2015

Hydrol. Earth Syst. Sci.

109

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Abstract. Hydrological data collection requires deployment of physical infrastructure like rain gauges, water level gauges, as well as use of expensive equipment like echo sounders. Many countries around the world have recorded a decrease in deployment of physical infrastructure for hydrological measurements; developing countries especially have less of this infrastructure and, where it exists, it is poorly maintained. Satellite remote sensing can bridge this gap, and has been applied by hydrologists over the years, with the earliest applications in water body and flood mapping. With the availability of more optical satellites with relatively low temporal resolutions globally, satellite data are commonly used for mapping of water bodies, testing of inundation models, precipitation monitoring, and mapping of flood extent. Use of satellite data to estimate hydrological parameters continues to increase due to use of better sensors, improvement in knowledge of and utilization of satellite data, and expansion of research topics. A review of applications of satellite remote sensing in surface water modelling, mapping and parameter estimation is presented, and its limitations for surface water applications are also discussed.

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Section: Z N Musa Et Al: a Review Of Applications Of Satellite Sarmentioning

confidence: 99%

“…Kumar et al (2010) studied the morphological changes in coastal parts of Karnataka State, India, using satellite and ancillary data. They calculated the rate of shoreline change over a 95-year period (1910-2005) and used the results to predict future shoreline change rates to 2029.…”

Section: Z N Musa Et Al: a Review Of Applications Of Satellite Sarmentioning

confidence: 99%

A review of applications of satellite SAR, optical, altimetry and DEM data for surface water modelling, mapping and parameter estimation

Musa

Popescu

Mynett

2015

Hydrol. Earth Syst. Sci.

109

View full text Add to dashboard Cite

show abstract

“…In selection of these images, the existence and availability of data were taken into account; therein the best images were of the Landsat satellite images archive [22]. The Mean Shift Clustering algorithm was developed for segmentation of images existing on ArcGIS software to investigate the changes as well.…”

Section: Methodsmentioning

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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“…Thus, a shoal may be formed by the accretion of non-cohesive sediments on the leeward side of the headland [17][18][19]. The orientation of this spit-like beach usually indicates the direction of dominant littoral drift [20,21], though inlet channel geometry, wave refraction, and tidal flow can overturn the above perception [22]. The short-term (order of days to a year) changes of a headland should be carefully considered since they cause temporary alternations [23] and often return to their initial situation over time [24] following a period of relaxation [25].…”

Section: Introductionmentioning

confidence: 99%

Long-Term Shoreline Displacements and Coastal Morphodynamic Pattern of North Rhodes Island, Greece

Gad

Hatiris

Loukaidi

et al. 2018

Water

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Shoreline evolution and seabed morphology changes depend on coastal geomorphology as well as hydrodynamics of the nearshore region. This study investigates the morphological evolution of the northernmost headland of Rhodes Island, Greece, using a method that combines historical shoreline evolution analysis and numerical modelling of coastal processes. The satellite and aerial imagery analysis under a GIS platform reveals that, since 1982, the overall surface area of the backshore has slightly increased, though in shorter period times, large variations have been identified. The part of the beach that is most prone to extreme changes is the spit-like formation at the tip of the headland. Wind-generated waves and induced currents are the main forcing factors that affect the shape and orientation of the spit-like beach. This spit-like morphology changes seasonally due to variations in the dominant wave regime. West sector waves cause sediment deposition at the eastern sector of the spit-like formation, whereas strong southeast wave events during the winter favor accretion at the west sector, inducing an asymmetrical shape. Thus, the analysis results indicate an annual balance in sediment transport.

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Shoreline changes and morphology of spits along southern Karnataka, west coast of India: A remote sensing and statistics-based approach

Cited by 116 publications

References 31 publications

A review of applications of satellite SAR, optical, altimetry and DEM data for surface water modelling, mapping and parameter estimation

A review of applications of satellite SAR, optical, altimetry and DEM data for surface water modelling, mapping and parameter estimation

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

Long-Term Shoreline Displacements and Coastal Morphodynamic Pattern of North Rhodes Island, Greece

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