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

Year 2015, Volume: 2 Issue: 3, 1 - 6, 31.12.2015
https://doi.org/10.30897/ijegeo.303552

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

References

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  • Bayram, B., Seker, D.Z., Acar, U., Yuksel, Y., Guner, H., Arı, A., Cetin, I. 2013. An Integrated Approach to Temporal Monitoring of the Shoreline and Basin of Terkos Lake. Journal of Coastal Research, 29 (6), 1427-1435.
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  • Houser, C., Hapke, C., Hamilton, S. 2008. Controls on coastal dune morphology, shoreline erosion and barrier island response to extreme storms. Geomorphology, 100, 223–240.
  • Kankara, R.S., Selvan, S.C., Markose, V.J., Rajan, B., Arockiaraj, S. 2015. Estimation of long and short term shoreline changes along Andhra Pradesh coast using Remote Sensing and GIS techniques. Procedia Engineering, 116, 855 – 862.
  • Karsli, F., Guneroglu, A., Dihkan, M., 2011. Spatio-temporal shoreline changes along the southern Black Sea coastal zone. J. Appl. Remote Sens., 5 (1), 053545, doi/10.1117/1.3624520.
  • Kassouk, Z., Thouret, J.C., Gupta, A., Solikhin, A., Liew S.C. 2014. Object-oriented classification of a high-spatial resolution SPOT5 image for mapping geology and landforms of active volcanoes: Semeru case study, Indonesia. Geomorphology, 221, 18–33.
  • Kuleli, T., Guneroglu, A., Karsli, F., Dihkan, M. 2011. Automatic detection of shoreline change on coastal Ramsar wetlands of Turkey. Ocean Engineering, 38, 1141–1149.
  • Kumara, A., Narayana, A.C., Jayappa, K.S. 2010. Shoreline changes and morphology of spits along southern Karnataka, west coast of India: A remote sensing and statistics-based approach. Geomorphology, 120, 133–152.
  • Lillesand, T.M., Kiefer, R.W. 1999. Remote sensing and image interpretation, 4th. Ed., John Wiley and Son, USA, pp. 122, 19, G70.4.L54.
  • Maiti, S., Bhattacharya, A.K., 2009. Shoreline change analysis and its application to prediction: a remote sensing and statistics based approach. Marine Geology, 257, 11–23.
  • Ozturk, D., Sesli, A.F. 2015. Shoreline change analysis of the Kizilirmak Lagoon Series. Ocean & Coastal Management, 118, 290-308.
  • Raju, A., Dwarakish, G.S., Venkat, R. 2015. Automatic Shoreline Detection and Change Detection Analysis of Netravati-Gurpur Rivermouth Using Histogram Equalization and Adaptive Thresholding Techniques. Aquatic Procedia, 4, 563 – 570.
  • Ryu, J.H., Won, J.S., Min, K.D. 2002. Waterline extraction from Landsat TM data in a tidal flat: a case study in Gosmo Bay, Korea. Remote Sensing of Environment, 83, 442–456.
  • Siddiqui, M.N., Maajid, S. 2004. Monitoring of geomorphological changes for planning reclamation work in coastal area of Karachi, Pakistan. Advanced Space Research, 33, 1200–1205.
  • Yamano, H., Shimazaki, H., Matsunaga, T., Ishoda, A., McClennen, C., Yokoki, H., Fujita, K., Osawa, Y., Kayanne, H. 2006. Evaluation of various satellite sensors for waterline extraction in a coral reef environment: Majuro Atoll, Marshall Islands. Geomorphology, 82, 398–411.
Year 2015, Volume: 2 Issue: 3, 1 - 6, 31.12.2015
https://doi.org/10.30897/ijegeo.303552

Abstract

References

  • Albert, P., Jorge, G. 1998. Coastal changes in the Ebro delta: natural and human factors. Journal of Coastal Conservation, 4, 17–26.
  • Baatz, M., Schäpe, A. 2000. Multiresolution segmentation an optimization approach for high quality multi-scale image segmentation. In: Strobl, J., Blaschke, T., Griesebener, G. (Eds.), Angewandte Geographische Informationsverarbeitung XII. Beiträge zum AGIT-Symposium Salzburg 2000, Herbert Wichmann Verlag, Kahrlsruhe, pp. 12–23.
  • Bayram, B., Seker, D.Z., Acar, U., Yuksel, Y., Guner, H., Arı, A., Cetin, I. 2013. An Integrated Approach to Temporal Monitoring of the Shoreline and Basin of Terkos Lake. Journal of Coastal Research, 29 (6), 1427-1435.
  • Definiens, Definiens Professional 5 Reference Book, Definiens AG, http://read.pudn.com/downloads112/sourcecode/others/467350/eCognition5.0%20ReferenceBook.pdf, (Accessed 05 April 2009).
  • Ford, M. 2013. Shoreline changes interpreted from multi-temporal aerial photographs and high resolution satellite images: Wotje Atoll, Marshall Islands. Remote Sensing of Environment, 135, 130–140.
  • Houser, C., Hapke, C., Hamilton, S. 2008. Controls on coastal dune morphology, shoreline erosion and barrier island response to extreme storms. Geomorphology, 100, 223–240.
  • Kankara, R.S., Selvan, S.C., Markose, V.J., Rajan, B., Arockiaraj, S. 2015. Estimation of long and short term shoreline changes along Andhra Pradesh coast using Remote Sensing and GIS techniques. Procedia Engineering, 116, 855 – 862.
  • Karsli, F., Guneroglu, A., Dihkan, M., 2011. Spatio-temporal shoreline changes along the southern Black Sea coastal zone. J. Appl. Remote Sens., 5 (1), 053545, doi/10.1117/1.3624520.
  • Kassouk, Z., Thouret, J.C., Gupta, A., Solikhin, A., Liew S.C. 2014. Object-oriented classification of a high-spatial resolution SPOT5 image for mapping geology and landforms of active volcanoes: Semeru case study, Indonesia. Geomorphology, 221, 18–33.
  • Kuleli, T., Guneroglu, A., Karsli, F., Dihkan, M. 2011. Automatic detection of shoreline change on coastal Ramsar wetlands of Turkey. Ocean Engineering, 38, 1141–1149.
  • Kumara, A., Narayana, A.C., Jayappa, K.S. 2010. Shoreline changes and morphology of spits along southern Karnataka, west coast of India: A remote sensing and statistics-based approach. Geomorphology, 120, 133–152.
  • Lillesand, T.M., Kiefer, R.W. 1999. Remote sensing and image interpretation, 4th. Ed., John Wiley and Son, USA, pp. 122, 19, G70.4.L54.
  • Maiti, S., Bhattacharya, A.K., 2009. Shoreline change analysis and its application to prediction: a remote sensing and statistics based approach. Marine Geology, 257, 11–23.
  • Ozturk, D., Sesli, A.F. 2015. Shoreline change analysis of the Kizilirmak Lagoon Series. Ocean & Coastal Management, 118, 290-308.
  • Raju, A., Dwarakish, G.S., Venkat, R. 2015. Automatic Shoreline Detection and Change Detection Analysis of Netravati-Gurpur Rivermouth Using Histogram Equalization and Adaptive Thresholding Techniques. Aquatic Procedia, 4, 563 – 570.
  • Ryu, J.H., Won, J.S., Min, K.D. 2002. Waterline extraction from Landsat TM data in a tidal flat: a case study in Gosmo Bay, Korea. Remote Sensing of Environment, 83, 442–456.
  • Siddiqui, M.N., Maajid, S. 2004. Monitoring of geomorphological changes for planning reclamation work in coastal area of Karachi, Pakistan. Advanced Space Research, 33, 1200–1205.
  • Yamano, H., Shimazaki, H., Matsunaga, T., Ishoda, A., McClennen, C., Yokoki, H., Fujita, K., Osawa, Y., Kayanne, H. 2006. Evaluation of various satellite sensors for waterline extraction in a coral reef environment: Majuro Atoll, Marshall Islands. Geomorphology, 82, 398–411.
There are 18 citations in total.

Details

Journal Section Research Articles
Authors

Bülent Bayram

İnese Janpaule This is me

Mustafa Oğurlu This is me

Salih Bozkurt This is me

Hatice Çatal Reis

Dursun Zafer Şeker

Publication Date December 31, 2015
Published in Issue Year 2015 Volume: 2 Issue: 3

Cite

APA Bayram, B., Janpaule, İ., Oğurlu, M., Bozkurt, S., et al. (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://doi.org/10.30897/ijegeo.303552