Impact Assessment of Super Cyclone Hudhud on Coastal Region of Visakhapatnam, Andhra Pradesh, India, Using Remote Sensing and GIS Techniques
K.M. Ganesh1, G. Jai Sankar2, G.V.L.N. Murthy3

1K.M. Ganesh, Department of Civil Engineering, S.R.K.R. Engineering College, Bhimavaram (Andhra Pradesh), India.
2G. Jai Sankar, Department of Geo Engineering, Andhra University, Visakhapatnam (Andhra Pradesh), India.
3G.V.L.N. Murthy, Department of Civil Engineering, Swarnandhra College of Engineering & Technology, Seetharampuram (Andhra Pradesh), India.
Manuscript received on 13 May 2019 | Revised Manuscript received on 07 June 2019 | Manuscript Published on 15 June 2019 | PP: 254-259 | Volume-8 Issue-1S3 June 2019 | Retrieval Number: A10450681S319/2019©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© 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 characteristic of a rapidly rotating storm system of tropical cyclone have a strong winds, a spiral arrangements of thunderstorms and low pressure center. It has a large bodies of relatively warm water in classic form. A low pressure system was originates as Hudhud on 6th October 2014. The Hudhud is a very severe cyclonic storm on IMD scale and category 4 on Staffir-Simpson scale announced by the Indian Meteorological Department (IMD) department on 9th October 2014. On 12th October, 2014 at wind speed of 175 km/h hit the coast of Visakhapatnam by the Cyclone due to this the city and the neighboring districts were extensively damaged. Not only the changed the countryside of the port city, but also made it the first city in the country to be directly hit by a cyclone since 1891 according to the history of the IMD which were damage caused by cyclone Hudhud. The Normalized Difference Vegetation India (NDVI) is being used here as the remote sensing technique. The vegetation and non-vegetation part would separate by NDVI. The Arc GIS and ERDAS were used for the NDVI. The satellite data of 4thOctober 2014 shows before the storm and that of 20th October 2014 shows after the cyclone.
Keywords: Hudhud, NDVI Classification Map, Change Detection, Shoreline Changes, Edge Enhancement.
Scope of the Article: Coastal Engineering