Shoreline shifting and its prediction using remote sensing and GIS techniques: a case study of Sagar Island, West Bengal (India)

Nandi, Santanu; Ghosh, Manik; Kundu, Arnab; Dutta, Debojyoti; Baksi, Moumita

doi:10.1007/s11852-015-0418-4

Cited by 125 publications

(33 citation statements)

References 29 publications

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“…Satellite images are not only suitable for visualize the change; also they are valuable source for extracting statistical information related to land use and land cover (LULC) change. Geo-spatial techniques have been used by several researchers engaged in coastal based studies (Williams et al 2015;Das et al 2016;Gopinath et al 2016;Nandi et al 2016).…”

Section: Introductionmentioning

confidence: 99%

A geo-spatial study on spatio-temporal growth of brackish water aquaculture along the coastal areas of West Bengal (India)

Dutta

Das

Kundu

2016

Model. Earth Syst. Environ.

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The present study seeks to identify the landuse changes occurring due to haphazard growth of brackish water fisheries along the coastal areas of West Bengal through remote sensing and GIS techniques. High resolution multi-temporal Google Earth images were used for detecting spatio-temporal changes of two blocks of Contai sub-division located in Midnapore district of West Bengal. Also, the area was surveyed with GPS and the digitized maps were verified using the information collected from the aquaculture farm owners. It is evident from change detection analysis that a significant amount of area under agricultural land has been converted into aquaculture farm and also a large number of pre-existing ponds have been converted into brackish water fisheries. Remote sensing derived statistical information on inland fisheries of Contai II and III blocks reveals that area under brackish water fisheries has increased about 2950 acres within the period 2006 to 2011.

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Section: Introductionmentioning

confidence: 99%

A geo-spatial study on spatio-temporal growth of brackish water aquaculture along the coastal areas of West Bengal (India)

Dutta

Das

Kundu

2016

Model. Earth Syst. Environ.

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“…We selected the 1989 coastline as a benchmark, as 1989 is the start of the data series and the year that the United Nations Environment Programme (UNEP) included Pakistan in the group of countries vulnerable to the impact of rising sea level [29]. Among the three existing methods for baseline demarcation (i.e., creating a baseline from a specific distance of a coastline, using a pre-existing baseline, and buffering method), we adopted the buffering method, as it is considered to be the most reliable and accurate [43].…”

Section: Analysis Of Coastline Changementioning

confidence: 99%

“…Following Nandi et al [43], a buffer of 200 m was generated around the baseline coastline. Two hundred meters was chosen as the optimal baseline distance after a trial-and-error process.…”

Section: Analysis Of Coastline Changementioning

confidence: 99%

Three Decades of Coastal Changes in Sindh, Pakistan (1989–2018): A Geospatial Assessment

et al. 2019

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Coastal erosion endangers millions living near-shore and puts coastal infrastructure at risk, particularly in low-lying deltaic coasts of developing nations. This study focuses on morphological changes along the~320-km-long Sindh coastline of Pakistan over past three decades. In this study, the Landsat images from 1989 to 2018 at an interval of 10 years are used to analyze the state of coastline erosion. For this purpose, well-known statistical approaches such as end point rate (EPR), least median of squares (LMS), and linear regression rate (LRR) are used to calculate the rates of coastline change. We analyze the erosion trend along with the underlying controlling variables of coastal change. Results show that most areas along the coastline have experienced noteworthy erosion during the study period. It is found that Karachi coastline experienced 2.43 ± 0.45 m/yr of erosion and 8.34 ± 0.45 m/yr of accretion, while erosion on the western and eastern sides of Indus River reached 12.5 ± 0.55 and 19.96 ± 0.65 m/yr on average, respectively. Coastal erosion is widespread along the entire coastline. However, the rate of erosion varies across the study area with a general trend of erosion increasing from west to east in the Indus Delta region (IDR), and the highest average erosion rate is 27.46 m/yr. The interdecadal change during 1989-periods depicted an increasing linear trend (R 2 = 0.78) from Karachi to Indus River (IR) East zone. The spatial trend from west to east is positively correlated with mean sea level rise, which has increased from 1.1 to 1.9 mm/year, and negatively correlated with topographic slope, which is found to be decreasing eastward along the coastline. The findings necessitate appropriate actions and have important implications to better manage coastal areas in Pakistan in the wake of global climate change.

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“…In future, there is big potential for improvement of this research by remote sensing and increased utilization of fuzzy-based computer algorithms. Studies Misra and Balaji (2015); Adarsa et al (2015) and Nandi et al (2015) used Digital Shoreline Analysis System (DSAS) for detection of changes of shoreline in a monitored area. DSAS is a special extension which is focused on shoreline analysis.…”

Section: Water Bodies and Shoreline Changesmentioning

confidence: 99%

Using Uav to Detect Shoreline Changes: Case Study – Pohranov Pond, Czech Republic

Čermáková¹,

Komárková²,

Sedlák³

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The paper describes utilization of an unmanned aerial vehicle (UAV) for detection of changes of shorelines. UAV is used as a cheep and ondemand available possibility how to collect remotely sensed data. Its utilization is limited by legal regulations and weather conditions. Paper deals with utilization of UAV for monitoring small water area and particularly study of changes of shorelines. Study contains other methods of classification. After classification will be data processed for next calculations. Indices regarding shoreline changes are in the study also. In conclusion, study contains obtainment findings and encouragement for the future.

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Shoreline shifting and its prediction using remote sensing and GIS techniques: a case study of Sagar Island, West Bengal (India)

Cited by 125 publications

References 29 publications

A geo-spatial study on spatio-temporal growth of brackish water aquaculture along the coastal areas of West Bengal (India)

A geo-spatial study on spatio-temporal growth of brackish water aquaculture along the coastal areas of West Bengal (India)

Three Decades of Coastal Changes in Sindh, Pakistan (1989–2018): A Geospatial Assessment

Using Uav to Detect Shoreline Changes: Case Study – Pohranov Pond, Czech Republic

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