Study on the Coastline Evolution in Sopot (2008–2018) Based on Landsat Satellite Imagery - Publication - Bridge of Knowledge

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Study on the Coastline Evolution in Sopot (2008–2018) Based on Landsat Satellite Imagery

Abstract

The coastline is the boundary between the water surface in a reservoir or watercourse and the land, which is characterised by high instability and functional diversity. For these reasons, research on coastal monitoring has been conducted for several decades. Currently, satellite images performed with synthetic aperture radars (SARs) are used to determine its course and variability together with high-resolution multispectral imagery from satellites such as IKONOS, QuickBird, and WorldView, or moderate-resolution multispectral images from Landsat satellites. This paper analysed the coastline variability in Sopot (2008–2018) based on Landsat satellite imagery. Furthermore, based on multispectral images obtained, it was determined how the beach surface in Sopot changed. Research has shown that the coastline keeps moving away from the land every year. This was particularly noticeable between 2008 and 2018 when the coastline moved on average 19.1 m towards the Baltic Sea. Moreover, it was observed that the area of the sandy beach in Sopot increased by 14 170.6 m2, which translates into an increase of 24.7% compared to 2008. The probable cause of the continuous coastline shift towards the sea and the increase of the beach surface is the oceanographic phenomenon called tombolo, which occurred in this area as a result of the construction of a yacht marina near the coast.

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Category:
Articles
Type:
artykuły w czasopismach
Published in:
Journal of Marine Science and Engineering no. 8,
ISSN: 2077-1312
Language:
English
Publication year:
2020
Bibliographic description:
Specht M., Specht C., Lewicka O., Makar A., Burdziakowski P., Dąbrowski P.: Study on the Coastline Evolution in Sopot (2008–2018) Based on Landsat Satellite Imagery// Journal of Marine Science and Engineering -Vol. 8,iss. 6 (2020), s.464-
DOI:
Digital Object Identifier (open in new tab) 10.3390/jmse8060464
Verified by:
Gdańsk University of Technology

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