Shoreline change monitoring for coastal zone management using multi-temporal Landsat data in Mahi River estuary, Gujarat State

Patel, Krunal; Jain, Rajmal; Patel, Amrutlal K.; Kalubarme, Manik H.

doi:10.1007/s12518-021-00353-8

Cited by 19 publications

(12 citation statements)

References 31 publications

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“…The shoreline is a highly dynamic feature that changes continually due to interactions between oceans and land [1][2][3]. Measuring the rate of shoreline changes is crucial for effective coastal management and monitoring, especially for tracking coastal accretion and erosion [4]. The alteration of shorelines can have a significant impact on the socioeconomic and demographic characteristics of coastal areas [1,5,6], the degradation of coastal ecosystems [7][8][9], environmental consequences for aquatic ecosystems [10], and geomorphic responses [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

“…Coastal ecosystems, which have multiple functions, are under increasing stress from both human activities and natural processes such as the growing population, coastal erosion, sea level rises, industrialisation, trade, over-exploitation of resources, tourism, and accelerated urbanisation [11,[14][15][16][17]. These physical and human-induced changes have significant environmental consequences [4,18,19]. The natural changes are linked to geomorphic, hydrodynamic, climatic, tectonic, and hydrodynamic processes such as tides, erosion and deposition, coast protection structures, and currents, and can occur over both short and long periods [14,17,[20][21][22].…”

Section: Introductionmentioning

confidence: 99%

“…Different approaches have been used to detect and monitor shoreline changes over space and time. For monitoring and managing shoreline changes, geospatial and remote sensing (RS) technologies have been utilised and proven to be extremely useful approaches [4]. Traditional field methods, geographic information systems (GIS), and RS techniques have become increasingly essential due to their ability to provide and analyse historical snapshots of shoreline displacements with higher accuracy [1,2,27].…”

Section: Introductionmentioning

confidence: 99%

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Assessment of the Impact of Anthropogenic Evolution and Natural Processes on Shoreline Dynamics Using Multi-Temporal Satellite Images and Statistical Analysis

Balakrishnan

Abulibdeh

Kabir

2023

Water

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This research aims to examine changes in the eastern part of Qatar’s shoreline from 1982 to 2018 by means of satellite imagery. Five different time periods, namely 1982, 1992, 2002, 2013, and 2018, were analysed to determine shoreline movements and shoreline variations. Techniques such as maximum likelihood classification, the normalised difference vegetation index, and tasselled cap transformation were utilised to extract the shoreline data. Linear regression rate statistics were used to quantify the rate of shoreline variations. The results indicate that the majority of shoreline accretion is a result of human activities such as coastal construction, land reclamation, and building artificial islands, which are associated with the high economic activity over the past two decades. Significant changes were observed in Lusail City, The Pearl, and Hamad International Airport (HIA). Natural sediment accumulation was also observed in Al Wakra and on the southern side of HIA. In general, there were more land gains than losses throughout the study period, and the shoreline increased by twice its previous length. The field survey confirmed the presence of sandy and rocky beaches, as well as a shoreline with protective structures such as natural limestone rocks and concrete reinforcement.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Assessment of the Impact of Anthropogenic Evolution and Natural Processes on Shoreline Dynamics Using Multi-Temporal Satellite Images and Statistical Analysis

Balakrishnan

Abulibdeh

Kabir

2023

Water

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“…The coastline can be updated less frequently if situated in a relatively undisturbed situation. However, if the area has more significant threat from erosion and floods, it may require frequent updating [1,2].…”

Section: Introductionmentioning

confidence: 99%

The application of satellite derived bathymetry for coastline mapping

Dewi

Sofian

SUPRAJAKA

2022

IOP Conf. Ser.: Earth Environ. Sci.

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There is a gap in bathymetry data in shallow water due to the difficulty in measuring the depth. Meanwhile, to obtain an accurate datum-based coastline, sufficient depth and topography data are required. In the situation in which bathymetry data from the conventional method (sounding measurement) is limited, the bathymetry data resulted from Satellite Derived Bathymetry (SDB) algorithm can be an alternative solution. The SDB is estimated by correlating water depth and the spectral band of images. This research is conducted to develop a method that can be applied for coastline mapping by assessing the capability of SDB. For the integration of all input data, including land elevation and bathymetry data, a gridding method called stacked continuous curvature splines with tension is adopted. Coastline generated from the proposed method was relatively smooth and it was close to the shape of the land feature compared to coastline developed from other data sources such as the national bathymetry data and echo sounding data. From the results, we conclude that the SDB is promising in filling the gap of depth information in shallow water areas. A feasible coastline can be produced since depth information from the SDB model can increase the density of depth information required for generating a coastline model.

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“…The changed coastline in mangrove forest is almost inaccessible hence it's difficult to map. GIS and remote sensing will be able to provide solution for this problem and allow improvement in mapping for larger areas instead of using ground survey [5][6]. This will reduce the cost on resources and human capital.…”

Section: Introductionmentioning

confidence: 99%

Mapping of Coastline Changes in Mangrove Forest using Digital Shoreline Analyst System (DSAS).

Apandi

Salleh

Rahim

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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Satellite images have been used for the last 35 years to monitor the erosion rates of the coastline, which has further altered the morphology of the coastline and its biodiversity. In order to make educated judgments about the protection of our coastline biodiversity, shoreline accretion trends over time are crucial for a wide range of coastal challenges and projects. As a result, the goal of this study was to use Landsat 8 OLI to monitor the coastline mangrove forest in Tanjung Piai to distinguish changes in the coastline, as well as to generate land use land cover in 2013 and 2020, detect changes in land use land cover in 2013 until 2020, and identify changes in the coastline mangrove forest in 2013 and 2020. The results showed that the shoreline of Tanjung Piai altered by an average value of accretion per year of 296.14 ha and an average value of reduction per year of 46.87 ha using the End Point Rate (EPR) and Shoreline Change Envelope (SCE) tools from the Digital Shoreline Analyst System (DSAS). The coastal zone must be safeguarded to ensure the safety of those who live close, as well as the ecosystem and habitat’s protection from the effects of rising sea levels.

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Shoreline change monitoring for coastal zone management using multi-temporal Landsat data in Mahi River estuary, Gujarat State

Cited by 19 publications

References 31 publications

Assessment of the Impact of Anthropogenic Evolution and Natural Processes on Shoreline Dynamics Using Multi-Temporal Satellite Images and Statistical Analysis

Assessment of the Impact of Anthropogenic Evolution and Natural Processes on Shoreline Dynamics Using Multi-Temporal Satellite Images and Statistical Analysis

The application of satellite derived bathymetry for coastline mapping

Mapping of Coastline Changes in Mangrove Forest using Digital Shoreline Analyst System (DSAS).

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