Shoreline Extraction and Change Detection using 1:5000 Scale Orthophoto Maps: A Case Study of Latvia-Riga

Journal Title: International Journal of Environment and Geoinformatics - Year 2015, Vol 2, Issue 3

Abstract

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.

Authors and Affiliations

Bülent Bayram, Inese Janpaule, Emin Özgür Avşar, Mustafa Oğurlu, Salih Bozkurt, Hatice Çatal Reis, Dursun Zafer ŞEKER

Keywords

Related Articles

High resolution mapping of urban areas using SPOT-5 images and ancillary data

This research aims to propose new rule sets to be used for object based classification of SPOT-5 images to accurately create detailed urban land cover/use maps. In addition to SPOT-5 satellite images, Normalized Differen...

Carbon Sequestration Analysis of dominant tree species using Geo-informatics Technology in Gujarat State (INDIA)

Comparative analysis of carbon store of three dominant tree species in planned green capital city of Gandhinagar and unplanned industrial town of Mahesana in Gujarat State, India was carried out using geo-informatics tec...

Summer climate variability of the İzmir Bay based on long term temperature and salinity records (1996-2013 )

The purpose of this study is to examine the temperature and salinity variability of the İzmir Bay based on available in-situ measurements between 1996 and 2013 in summer. The analyses were made for the whole Bay and also...

Assessment and Comparison the Location of Six Universities in Tehran City Using GIS and Multi Criteria Decision Making Methods

Universities are the engine of science in any country. Thus improvement of a university led the country to development. Location of the university is one of the factors which are effective on the quality of research and...

Using Digital Elevation Model and Remotely Sensed Data in Determining the Geomorphological and Morphometric Features: Gaziköy-Saros Region, Northwestern Turkey

The Gaziköy–Saros region is located in the western part of the North Anatolian Fault Zone (NAFZ), Turkey, which is one of the major active strike-slip faults recognized in the world. The morphological characteristics of...

Download PDF file
  • EP ID EP192054
  • DOI -
  • Views 75
  • Downloads 0

How To Cite

Bülent Bayram, Inese Janpaule, Emin Özgür Avşar, Mustafa Oğurlu, Salih Bozkurt, Hatice Çatal Reis, Dursun Zafer ŞEKER (2015). Shoreline Extraction and Change Detection using 1:5000 Scale Orthophoto Maps: A Case Study of Latvia-Riga. International Journal of Environment and Geoinformatics, 2(3), 1-6. https://europub.co.uk/articles/-A-192054