Shoreline Change Analysis for Northern Part of the Coromandel Coast

Salghuna, N.N.; Bharathvaj, S. Aravind

doi:10.1016/j.aqpro.2015.02.043

Cited by 58 publications

(35 citation statements)

References 2 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%

“…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]. 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] with DSAS.…”

Section: Digital Shoreline Analysis System (Dsas)mentioning

confidence: 99%

“…Landsat imagery covering a 30-year period has been used for the continuous inspection of coastline changes in western Florida [10]. Similar datasets have been interpreted for detecting changes of the shoreline in India [11], China [12], and Namibia [13]. Furthermore, Landsat data, along with Google Earth images and aerial photographs, were processed in order to perform a diachronic survey of the evolution of the coastline in Lower Casamance and southern Gambia, Africa [14].…”

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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“…The coastline from Sentinel-2 and Landsat panchromatic band are delineated using on-screen manual digitisation technique with constant scale of 1:2000 with a single operator. This technique has been proven to be ideal for rivers and coastline extraction by studies such as Dewan et al (2017) and Salghuna and Bharathvaj (2015). Instantaneous high tidal water lines are used as proxies for coastlines.…”

Section: Manual Digitisationmentioning

confidence: 99%

Coastline shift analysis in data deficient regions: Exploiting the high spatio-temporal resolution Sentinel-2 products

Saleem

Awange

2019

CATENA

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In most developing countries, coastline shift monitoring using in-situ (ground-based) data faces challenges due, e.g., to data unreliability, inconsistency, deficiency, inaccessibility or incompleteness. Even where practically applicable, the traditional "boots on the ground" methods are labour intensive and expensive, thus imposing burden on poor countries struggling to meet other urgent pressing daily needs, i.e., food and medicine. Remote sensing (RS) techniques provide a more efficient and effective way of collecting data for coastline shift analysis. However, moderate spatio-temporal resolution RS products such as the widely used Landsat products (30 m and 16 days) may be insufficient where high accuracy is desired. In 2015, Sentinel-2 Multi-Spectral Instrument (MSI) remotely sensed products with higher spatio-temporal resolution (10 m and 5 days) and high spectral resolution (13 bands), which promises to improve coastline movement monitoring to high accuracy, was launched. Using two war-impacted countries (Liberia and Somalia) as case studies of regions with data deficiency or of poor quality, for the period 2015-2018, this contribution aims at (i) assessing the suitability of the new freely available high spatio-temporal Sentinel-2 products to monitor coastline shift, (ii) assessing the possibility of filling the missing Sentinel-2 gaps with Landsat 8 panchromatic band (15 m) products to provide alternative data source for mapping of coastline movements where Sentinel-2 data is unusable, e.g., due to cloud cover, and (iii), undertake a comparative analysis between Sentinel-2 (10 m), Landsat panchromatic (15 m), and Landsat multi-spectral (30 m). The results of the evaluation indicate 23% (on average) improvement gained by using Sentinel-2 compared to the traditional Landsat 30 m resolution data (i.e., 32% for Liberia and 14% for Somalia). A comparison of 100 check points from Google Earth Pro (i.e., surrogate in-situ reference data) show 91% agreement for Liberia and 85% for Somalia, indicating the potential of using Sentinel-2 data for future coastal shift studies, particularly for the data deficient regions. The results of comparative studies for Sentinel-2, Landsat panchromatic (PAN), and Landsat multi-spectral (MS) show that the percentages of Sentinel-2 and Landsat PAN that falls within 10 m threshold is much higher than Landsat MS by 35% and 26%, respectively, and for the 2016-2017 period, they provide more detailed mapping of the Liberian coastline compared to Landsat MS (30 m). Finally, panchromatic Landsat data with 15 m resolution are found to be capable of filling the missing Sentinel-2 gaps, i.e., where cloud cover hampers its usability.

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“…LRR is determined by fitting a least-square regression line to all shoreline points for a particular transects. To minimize the square residuals the regression line is placed in the computational process and the slope line is the linear regression rate (Salghuna and Bharathvaj 2015).…”

Section: Introductionmentioning

confidence: 99%

Analysis of shoreline changes in Vishakhapatnam coastal tract of Andhra Pradesh, India: an application of digital shoreline analysis system (DSAS)

Baig

Ahmad

Shahfahad³

et al. 2020

Annals of GIS

103

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Coastline or Shoreline calculation is one of the important factors in the finding of coastal accretion and erosion and the study of coastal morphodynamic. Coastal erosion is a tentative hazard for communities especially in coastal areas as it is extremely susceptible to increasing coastal disasters. The study has been conducted along the coast of Vishakhapatnam district, Andhra Pradesh, India with the help of multi-temporal satellite images of 1991 2001, 2011 and 2018. The continuing coastal erosion and accretion rates have been calculated using the Digital Shoreline Analysis System (DSAS). Linear regression rate (LRR), End Point Rate (EPR) and Weighted Linear Regression (WLR) are used for calculating shoreline change rate. Based on calculations the district shoreline has been classified into five categories as high and low erosion, no change and high and low accretion. Out of 135 km, high erosion occupied 5.8 km of coast followed by moderate or low erosion 46.2 km. Almost 34.7 km coastal length showed little or no change. Moderate accretion is found along 30.5 km whereas high accretion trend found around 17.8 km. The outcome of shows that erosion is prevailing in Vishakhapatnam taluk, Ankapalli taluk, Yellamanchili taluk whereas most of the Bhemunipatnam coast is accreting. Natural and manmade activities and phenomena influence the coastal areas in terms of erosion and accretion. The study could be used for further planning and development and also for disaster management authority in the decision-making process in the study area.

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Shoreline Change Analysis for Northern Part of the Coromandel Coast

Cited by 58 publications

References 2 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

Coastline shift analysis in data deficient regions: Exploiting the high spatio-temporal resolution Sentinel-2 products

Analysis of shoreline changes in Vishakhapatnam coastal tract of Andhra Pradesh, India: an application of digital shoreline analysis system (DSAS)

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