Long-Term Shoreline and Islands Change Detection with Digital Shoreline Analysis Using RS Data and GIS

This study concerned the assessment of changes in coastline Kavvayi beach and its nine islands a tropical coastal wetland using remote sensing (RS) data geographic information systems (GIS), as this sedimentary environment is still poorly characterized. The satellite used were from LANDSAT images (30 m spatial resolution) (MSS—volume 5, TM, ETM, ETM+ volume 6) for period last 25 years (1990 to 2014). Band 5 Landsat (MSS) band 6 (ETM 24- OLI) because they clearly distinguish boundaries between land water. Digital Shoreline Analysis System (DSAS) was understand shoreline such erosion accretion processes by calculating net shift (NSM), end point rate (EPR), linear regression (LRR) years. results showed significant over studied period, leading accretion. Coastal had an impact 2005 2014, development new island northern part due construction breakwater. In addition, causes on islands, including anomalies formation structures wetland, investigated discussed. These analyses confirmed that subjected marine transgression vice versa. Among this, subject Achanthurti Island lesser extent. can be considered feature wetlands combating sea level rise at local levels possible reasons along with zone management plans also