Land Cover Change Detection Using GIS and Remote Sensing Techniques : A Spatio-Temporal Study on Tanguar Haor, Sunamganj, Bangladesh.

Abstract

Tanguar Haor undergoes a radical change in its form over the decades. This study illustrated that, about 40% land cover of the total study area has been converted. Forested and High land vegetation’s are disappearing rapidly, deep water bodies consist of large lakes are becoming the rare feature of the study area. Widespread development of settlement and dominant shallow water feature are converting the natural wetland a permanent low lying agricultural land. Both pre classification and post classification change detection approach was used to assess the change. Several satellite images were taken as the fundamental secondary data for detail analysis from USGS satellite data archive. Change Vector Analysis (CVA), Natural Difference Vegetation Index (NDVI) and Natural Difference Water Index (NDWI) analysis were implemented to assess the change dynamics. Maximum likelihood supervised classification technique was performed to create the signature class of significant land cover category (Deep Water, Shallow Water, Vegetation and Settlement). Image differencing, Statistical change detection techniques (transition probability matrix), change dynamics analysis was operated to evaluate the past change relative to present.