An Approach to Study the Change of Coastal Shoreline of Krishna District, Andhra Pradesh, India, using Remote Sensing and Geographic Information Systems
G.T. N. Veerendra1, B. Kumarvel2
1G.T.N. Veerendra, Research Scholar, Department of Civil Engineering, Annamalai University, Chidambaram, (Tamil Nadu), India.
2Dr. B. Kumarvel, Assistant Professor Department of Civil Engineering, Annamalai University, Chidambaram, India.
Manuscript received on 21 April 2019 | Revised Manuscript received on 26 May 2019 | Manuscript published on 30 May 2019 | PP: 3408-3414 | Volume-8 Issue-1, May 2019 | Retrieval Number: A8688058119/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The average global sea level rise has been rising from the past 30 years, the past tide gauge information shows, the rise was about 18 cm (7.1 in) above over a century from 1897-97. In most precise, data acquired from satellite radar shows the sea level rise was accelerated from 7.5cm (3 in) from the past 20 years. The speedup is due to many reasons, some of them like global warming, expansion of seawater, melting of polar ice sheets and glaciers. The current trend is expected to furthermore accelerate due to industrial revolutions, which led to the reduction of natural resources. In the present paper, a study area was chosen to evaluate the dynamics of the coast region, the location of the study area was across the sea coastline of Krishna district Andhra Pradesh, India, the process of evaluation undergo with available collateral data consists of top sheets and satellite data of Resourcesat and Landsat in comparison with sketch maps of delta of Krishna river prepared in the years 1897 and 1966. It was identified that the spread of erosion and deposition occurred in an average of above 10 sq.km. Which leads to the formation of both mangroves and settlements.
Index Terms: GIS – Geographical Information Systems, SOI- Survey of India, LISS- Linear Image Self Scanning Sensor.
Scope of the Article: Real-Time Information Systems