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Shoreline Extraction and Change Detection using 1:5000 Scale Orthophoto Maps: A Case Study of Latvia-Riga
Authors: Bülent Bayram , Inese Janpaule , Özgür Avşar, Mustafa Oğurlu, Salih Bozkurt, Hatice Çatal Reis , Dursun Zafer Seker3

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Coastal management requires rapid, up-to-date, and correct information. Thus, the determination of
coastal movements and its directions has primary importance for coastal managers. For monitoring
the change of shorelines, remote sensing data, very high resolution aerial images and orthophoto
maps are utilized for detections of change on shorelines. It is possible to monitor coastal changes by
extracting the coastline from orthophoto maps. Along the Baltic Sea and Riga Gulf, Latvian
coastline length is 496 km. It is rich of coastal resources and natural biodiversity. Around 120 km
of coastline are affected by significant coastal changes caused by climate change, storms, erosion,
human activities and other reasons and they must be monitored. In this study, an object-oriented
approach has been proposed to detect shoreline and detect the changes by using 1:5000 scaled
orthophoto maps of Riga-Latvia (3bands, R, G, and NIR) in the years of 2007 and 2013. As many of
the authors have mentioned, object-oriented classification method can be more successful than the
pixel-based methods especially for high resolution images to avoid mix-classification. In the
presented study the eCognition object-oriented fuzzy image processing software has been used. The
results were compared to the results derived from manual digitizing. Extracted and manually
digitized shorelines have been divided in 5 m segments in x axis. The y coordinates of the new
nodes were taken from the original “.dxf” file or computed by interpolation. Thus, the RMS errors
of selected points were calculated.