Land Use and Land Cover Mapping and Shore Line Changes Studies in Tuticorin Coastal Area Using Remote Sensing

Visalatchi A., Raj Chandar Padmanaban

Abstract


In this project, Land use and Land cover and shoreline studies has been carried out using Remote Sensing (RS) and Geographical Information System (GIS). It is robustly linked to the eco-environment and socio-economic value consign to coastal components. Probable vary to these values will aid in the selection and interpretation of apparent responses to the changing boundary conditions such as human interference and other climatic changes. The results of the risk studies will be very useful in integrated coastal zone management plan. The present work has been carried out with a view to calculate the shoreline change over years to know the high and low sensitive areas. Both conventional and remotely sensed data are used and analyzed through the modelling technique. The present study is aimed to investigate the following four parameters namely; Land use and Land cover changes, Shoreline changes over the years, Geomorphology, Geology using Remote Sensing and GIS techniques. The proposed project aims to assess the changes along the coastal area occurred due to natural causes such as shoreline change due to acceleration and erosion and to identify the Geomorphology of the coastal areas with the aid of Remote Sensing and GIS. The Resultant map products are displayed using VB.NET and SQLSERVER software. These various studies achieved with the processing of IRS p6 LISS 3 and LISS IV satellite data.


Keywords


Remote Sensing, Geographic Information System, Digital Image Classification, Field Survey, GIS Analysis, Coastal Vulnerability Index.

Full Text: PDF

Refbacks

  • There are currently no refbacks.


Bookmark and Share


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

*2016 Journal Impact Factor was established by dividing the number of articles published in 2014 and 2015 with the number of times they are cited in 2016 based on Google Scholar, Google Search and the Microsoft Academic Search. If ‘A’ is the total number of articles published in 2014 and 2015, and ‘B’ is the number of times these articles were cited in indexed publications during 2016 then, journal impact factor = A/B. To know More: (http://en.wikipedia.org/wiki/Impact_factor)