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

2021 ◽  
Author(s):  
Krunal Patel ◽  
Rajmal Jain ◽  
Ajay N. Patel ◽  
Manik H. Kalubarme
Keyword(s):  
Coastal Zone ◽  
Coastal Zone Management ◽  
River Estuary ◽  
Shoreline Change ◽  
Landsat Data ◽  
Gujarat State ◽  
Zone Management ◽  
Multi Temporal ◽  
Change Monitoring

scholarly journals Assessment of shoreline positional uncertainty using remote sensing and GIS techniques: A case study from the east coast of India

2021 ◽  
Vol 71 (3) ◽  
pp. 249-263
Author(s):  
Kongeswaran Thangaraj ◽  
Sivakumar Karthikeyan
Keyword(s):  
Linear Regression ◽  
Coastal Zone ◽  
East Coast ◽  
Coastal Zone Management ◽  
Storm Surges ◽  
Shoreline Change ◽  
Coastal Protection ◽  
East Coast Of India ◽  
Zone Management ◽  
2004 Tsunami

The focus of this research was to assess the shoreline changes by comparing the satellite data from 1980 to 2020. The study area falls in the region between Kodiakarai and Nagapattinam of the east coast of India, which has frequently been distressed by storm surges and cyclones in the Bay of Bengal. The Digital Shoreline Analysis System (DSAS) detects and measures the erosional and accretional shoreline positions through the statistics of the Shoreline Change Envelope, Net Shoreline Movement, End Point Rate, Linear Regression Rate, and Weighted Linear Regression. The results show that the shoreline from Kodiakkarai to Nagapattinam suffered severe erosion of 17.7% in total with an average annual erosion rate of 3.4 m/year from 1980 to 2020 and the rate of erosion ranged between 0.1 m/year to 19.8 m/year. About 90.5% of the total shoreline was faced high erosion during the period between 2000 and 2010. The maximum erosion was about 1061 m from 2000 to 2010, the maximum accretion was found to be 1002 m in transects at Kodiakkarai during 2010 to 2020. After the effect of 2004 tsunami, the corresponding changes in littoral currents caused the drastic erosion and accretion in this shoreline. The DSAS prediction model shows that 19.3% of the current shoreline will erode in 2030. The maximum predicted erosion is 406 m at Kodiakkarai and the maximum predicted accretion is 148 m at Nagapattinam region. The coastal zone from Kodiakkarai to Nagapattinam needs special attention to prevent the erosion and it is recommended to build suitable coastal protection structures along the coast for sustainable development and to execute the coastal zone management for this region.

India’s coastal zone management with an emphasis on rapidly developing Gujarat State

2014 ◽  
Vol 18 (6) ◽  
pp. 683-690 ◽  
Author(s):  
Govindasamy Agoramoorthy ◽  
Pratiksha Patel ◽  
Saikat Kumar Basu ◽  
Chiranjib Chakraborty ◽  
Minna J Hsu
Keyword(s):  
Coastal Zone ◽  
Coastal Zone Management ◽  
Gujarat State ◽  
Zone Management

scholarly journals Exploring the Ever-Changing Seashore Using Geoinformatics Technology

Earth ◽  
2021 ◽  
Vol 2 (3) ◽  
pp. 544-555
Author(s):  
Ibra Lebbe Mohamed Zahir ◽  
Buddhika Madurapperuma ◽  
Atham Lebbe Iyoob ◽  
Kafoor Nijamir
Keyword(s):  
Coastal Zone ◽  
Satellite Images ◽  
Coastal Zone Management ◽  
Ground Truth ◽  
Shoreline Change ◽  
Modern Technology ◽  
Google Earth ◽  
Coastal Protection ◽  
Threshold Method ◽  
Zone Management

Detecting coastal morphodynamics is a crucial task for monitoring shoreline changes and coastal zone management. However, modern technology viz., Geoinformatics paves the way for long-term monitoring and observation with precise output. Therefore, this study aimed to produce explicit shoreline change maps and analyze the historical changes of the coastline at the east coast of the Ampara District in Sri Lanka. The histogram threshold method is used to extract data from satellite images. The time-series satellite images, acquired from 1987 to 2017, toposheet, and Google Earth historical images were compared having adjusted with the ground-truth to find the seashore changes in the study area. The histogram threshold method is used on band 5 (mid-infrared) for separating land from water pixels which means that the water pixel values were classified to one (1) and land pixel values to zero (0). The extracted shoreline vectors were associated with each other to determine the dynamics of changing shoreline of the study area. The Digital Shoreline Analysis System (DSAS) was used to find shoreline movements for each period of time. As a result, it was observed by the cross-section analysis within 100 m shoreline—seaward range along the study area—in which severe erosion has occurred northward of the Oluvil Harbor and anomalous accretion southward of the harbor because of the breakwaters constructed in the port entrance which hinder the long shore sediment transport along the study area. This situation has resulted in many ramifications to the coastal zone of the study area in socio-economic and environmental aspects in which the coastal protection mechanisms have not been well implemented to curb such issues.

Integrated Approach to Coastal Zone Management in Puerto Galera, Oriental Mindoro, Philippines

1984 ◽  
Vol 16 (3-4) ◽  
pp. 433-440
Author(s):  
O C A Iriberri
Keyword(s):  
Coastal Zone ◽  
Coastal Zone Management ◽  
Integrated Approach ◽  
Physical Parameters ◽  
Ecological Studies ◽  
Continuous Increase ◽  
Zone Management ◽  
Single Fragment ◽  
Human Attitude ◽  
And Migration

Coastal zone management requires an understanding of the complex milieu of interactions and activities taking place in an environmental system. Man is beginning to recognize that the old method of dealing with individual issues and problems as single fragment of a whole ecosystem is not enough. This paper tries to deal with the integrated manner in carrying out effectively the management of the coastal zone in Puerto Galera, Oriental Mindoro by the Man and the Biosphere Interagency Committee on Ecological Studies. To attain the objective of the project, the different agencies monitor, identify, observe, investigate various natural and physical parameters contributing to the ecological balance and study the rational use of the resources along the coastal zone. Result of the study showed that although such factors as land use practices of shifting cultivation (kaingin), human attitude towards forest and its resources, and continuous increase in population and migration of people were observed, such pressure on lands has not greatly affected the Puerto Galera coastal zone resources.

Unmanned Aerial Vehicle (UAV) applications in coastal zone management—a review

2021 ◽  
Vol 193 (3) ◽  
Author(s):  
Richard Adade ◽  
Abiodun Musa Aibinu ◽  
Bernard Ekumah ◽  
Jerry Asaana
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Coastal Zone ◽  
Coastal Zone Management ◽  
Zone Management ◽  
Aerial Vehicle
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