A study on shoreline changes of Mumbai coast using remote sensing and GIS

2005 ◽  
Vol 33 (1) ◽  
pp. 85-91 ◽  
Author(s):  
Navrajan Tirkey ◽  
R. S. Biradar ◽  
Madhavi Pikle ◽  
Sunit Charatkar
Keyword(s):  
Remote Sensing ◽  
Remote Sensing And Gis ◽  
Shoreline Changes

Mapping and Electronic Publishing of Shoreline Changes using UAV Remote Sensing and GIS

2021 ◽  
Author(s):  
N. Shenbagaraj ◽  
K. Senthil kumar ◽  
A. Mohamed Rasheed ◽  
J. Leostalin ◽  
M. Naresh Kumar
Keyword(s):  
Remote Sensing ◽  
Electronic Publishing ◽  
Remote Sensing And Gis ◽  
Shoreline Changes

Evaluation of long-term shoreline changes between Rasulpur and Subarnarekha estuary, east coast of India using remote sensing and GIS techniques

2021 ◽  
pp. 337-351
Author(s):  
Anindita Nath ◽  
Bappaditya Koley ◽  
Subhajit Saraswati ◽  
Kaushik Bandyopadhyay ◽  
Srabanti Bhattacharya ◽  
...  
Keyword(s):  
Remote Sensing ◽  
East Coast ◽  
Remote Sensing And Gis ◽  
East Coast Of India ◽  
Shoreline Changes ◽  
Gis Techniques

scholarly journals Remote sensing and gis applications in determining shoreline and surface water quality changes in Bayelsa state, Nigeria

1970 ◽  
Vol 10 (5) ◽  
pp. 572-587
Author(s):  
A.O. Adebola ◽  
T.H.T Ogunribido ◽  
S.A. Adegboyega ◽  
M.O. Ibitoye ◽  
A.A Adeseko
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Surface Water ◽  
Landsat Imagery ◽  
Surface Water Quality ◽  
Remote Sensing And Gis ◽  
Shoreline Changes ◽  
Gis Applications ◽  
Gis Environment ◽  
Coastal Landform

The study of shoreline changes is essential for updating the changes in shoreline maps and management of natural resources as the shoreline is one of the most important features on the earth’s surface. Shorelines are the key element in coastal GIS that provide information on coastal landform dynamics. The purpose of this paper is to investigate shoreline changes in the study area and how it affects surface water quality using Landsat imagery from 1987 to 2016. The image processing techniques adopted involves supervised classification, object-based image analysis, shoreline extraction and image enhancement. The data obtained was analyzed and maps were generated and then integrated in a GIS environment. The results indicate that LULC changes in wetland areas increases rapidly during the years (1987-2016) from 34.83 to 38.96%, vegetation cover reduces drastically through the year which range from 30% to 20%. Polluted surface water was observed to have decreased from 30% to 20% during 1984-2010 and reduced by about 3% in 2016. In addition, the result revealed the highest level of erosion from 1987 to 2016 which is -49.60% against the highest level of accretion of 13.39% EPR and NSM -1400 erosion against 350 accretions. It was also observed that variations in shoreline changes affect the quality of surface water possibly due to shoreline movement hinterland. This study has demonstrated that through satellite remote sensing and GIS techniques, the Nigerian coastline can adequately be monitored for various changes that have taken place over the years.Key Words: Shoreline, Remote Sensing, Erosion, Accretion, GIS 

scholarly journals EXTRACTING THE WATERLINE FROM LANDSAT IMAGES

2009 ◽  
Vol 12 (12) ◽  
pp. 52-58
Author(s):  
Thao Thi Phuong Pham ◽  
Duan Dinh Ho ◽  
To Van Dang
Keyword(s):  
Remote Sensing ◽  
Satellite Images ◽  
Numerical Models ◽  
Scientific Research ◽  
Remote Sensing And Gis ◽  
Landsat Images ◽  
Shoreline Changes ◽  
Remote Sensing Technology ◽  
Spectral Bands ◽  
Sensing Technology

Remote sensing technology nowadays is one of the most useful tools for scientific research in general and for oceanography in particular. From satellite images, the useful information such as waterline images can be extracte for a large region simultaneously. After tidal adjustments, the waterlines can be used as the observed shorelines which are important inputs for estimating shoreline changes by either using the integration of remote sensing and GIS or using numerical models. Based on the spectral bands of various Landsat images, the paper presents the methods to detect the waterlines in Phan Thiet region in the 40 years period using the images of 1973, 1976, 1990, and 2002 respectively. The extracted results relatively agree with the information of waterline from the images.

scholarly journals Estimation of Long and Short Term Shoreline Changes Along Andhra Pradesh Coast Using Remote Sensing and GIS Techniques

2015 ◽  
Vol 116 ◽  
pp. 855-862 ◽  
Author(s):  
R.S. Kankara ◽  
S. Chenthamil Selvan ◽  
Vipin J. Markose ◽  
B. Rajan ◽  
S. Arockiaraj
Keyword(s):  
Remote Sensing ◽  
Andhra Pradesh ◽  
Remote Sensing And Gis ◽  
Short Term ◽  
Shoreline Changes ◽  
Gis Techniques
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