The West Bengal part of the Ganges-Brahmaputra delta, popularly known as the Sundarban delta, is a system where intricate estuarine and coastal processes are influenced by adjacent marine, terrestrial and meteorological systems and the dynamic interface amongst the three, being the center of population growth, coastal sea, ponds/wetlands, estuarine Islands in this area are to sustain the negative impact caused by society's commercial, recreational, and residential activities. Additionally, natural forcing like sea level rise or climate change is a prime issue of concern for this vulnerable tract. Presently, this deltaic system is facing degradation due to natural and anthropogenic causes. Degradation of this littoral tract is manifested in terms of frequent embankment failures, submergence & flooding, beach erosion, siltation within embankment, saline water intrusion in the agricultural field etc. The present study demonstrates the potential of Geospatial and statistical technique for monitoring the climate changes of eastern part of Indian Sundarban, India since such kind of changes stand as a testimony for the past and present coastal environment. In the present study, multi resolution and multi temporal satellite images of Landsat have been utilized to demarcate climate change of weather data between 1990 to 2013. The Statistical techniques called as linear regression and regression coefficient have been used for find out the change rate during the period of 1990 to 2013 weather change and environment impact assessment of the study area. Finally, an attempt has been made to find out any interactive relationship between the climates changes in the concerned area.