K. Selvavinayagam

Emergency preparedness for disaster management is a crucial segment wherein administrators, planners, managers and stakeholders play an important role. For emergency preparedness and disaster management the dynamic representation of spatial and aspatial data in a web enabled GIS environment is the mark of the day. Dynamic representation of spatial and aspatial data, inputting data from client side and identifying its pros and cons, planning/decision making upon the information/data collected.

Erosion and accretion along the Tuticorin coast were identified using Landsat 5 TM May 1993, IRS P2 LISS II May 1996 and IRS 1C LISS III May 2002 data in comparison with Survey of India toposheet no L1 & L5 (1969) as baseline data. Geomorphic study of Tuticorin coast showed that the entire coastline is prograding and the coastal process that has been taking place is similar as noticed from IRS P2 1996, IRS 1C 2001 and IRS 1C 2002 satellite imageries.

U.S. coastal counties face severe meteorological hazards as compared to any other country in the Earth. Hence in order to formulate a methodology for the quantitative assessment of natural hazard vulnerability due to climate change, the study is attempted. Recent scientific tools such as remote sensing and GIS were integrated. Methodology for developing site specific models for the study is strategically planned and executed.

Windmills are a major source of renewable energy. Erection of windmills promotes development of industry, tourism and other coastal infrastructure facilities. Predominant wind direction and wind power density is noticed in Andaman Group of Islands such as North Andaman, Middle Andaman, South Andaman, Little Andaman and Teressa Island is Southwest. In order to sustain the environment in an eco-friendly manner, windmill site selection is carried out in North Passage Island, Andaman.

The purpose of the study was to develop an Integrated Coastal Zone Management plan for Rutland Island. For this study three dimensional elevation model, coastal biodiversity and landuse/landcover pattern change were analyzed using SPOT 1993 and IRS 1C 2003 satellite imageries. Visual interpretation technique was carried on SPOT 1993 and IRS 1C 2003 satellite imageries for estimating landuse change. Three dimensional elevation model, drainage pattern and landuse change maps were overlaid.