Automatic shoreline detection and its forecast: a case study on Dr. Abdul Kalam Island in the section of Bay of Bengal. Issue 8 (18th April 2022)

• Record Type: Journal Article
• Authors: Ghorai, Debabrata; Bhunia, Gouri Sankar
• Is Part Of: Geocarto international. Volume 37:Issue 8(2022)
• Page Start: 2273
• Page End: 2292
• Publication Date: 2022-04-18
• Subjects: Dr. Abdul Kalam Island -- automatic shoreline extraction -- shoreline prediction -- geospatial approach -- landsat data; Remote sensing -- Periodicals; Geographic information systems -- Periodicals; Geology -- Periodicals; Cartography -- Periodicals; 621.3678
• DOI: 10.1080/10106049.2020.1815868
• Languages: English
• ISSNs: 1010-6049

Abstract

Abstract: For 43 years, multi-dated satellite imagery is used to examine shifts in shorelines and potential location on shorelines for Dr. Abdul Kalam Island, in the Bay of Bengal, India. A Normalized Difference Water Index with object-based classification system and automatic shoreline extraction tool is used to retrieve the shoreline automatically. To calculate the rates of shoreline change and future positions, based on empirical observations, the simple statistical model, such as EPR and LR models are used. The erosion/accretion scenario is also analyzed for the 1976, 1989, 1997, 2008 and 2018 shoreline of Landsat imaging.Results showsnorth of Dr. Abdul Kalam Island is subjected to high deposition rates and the south part having high erosion rates in the vicinity of the Dhamara Estuary and Maipura River. The short-term (2023) and long-term (2028) shoreline positions are predicted on the basis of the delineated shoreline. Around 63% of transect's RMSE values varies between ±10 m, showing better agreement among the estimated shoreline positions and satellite-based ones. The results of the study can be very useful for the quantification of shoreline changes, shoreline forecasting and precautionary measures for anti-satellite missile launching centre.