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  • 标题:Shoreline Extraction and Change Detection using 1:5000 Scale Orthophoto Maps: A Case Study of Latvia-Riga
  • 本地全文:下载
  • 作者:Bülent Bayram ; Inese Janpaule ; Mustafa Oğurlu
  • 期刊名称:International Journal of Environment and Geoinformatics
  • 电子版ISSN:2148-9173
  • 出版年度:2015
  • 卷号:2
  • 期号:3
  • 页码:1-6
  • DOI:10.30897/ijegeo.303552
  • 语种:English
  • 出版社:IJEGEO
  • 摘要:Normal 0 21 false false false TR X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable{mso-style-name:"Normal Tablo";mso-tstyle-rowband-size:0;mso-tstyle-colband-size:0;mso-style-noshow:yes;mso-style-priority:99;mso-style-parent:"";mso-padding-alt:0cm 5.4pt 0cm 5.4pt;mso-para-margin:0cm;mso-para-margin-bottom:.0001pt;mso-pagination:widow-orphan;font-size:10.0pt;font-family:"Times New Roman",serif;mso-ansi-language:EN-US;mso-fareast-language:EN-US;}Coastal management requires rapid, up-to-date, andcorrect information. Thus, the determination of coastal movements and itsdirections has primary importance for coastal managers. For monitoring thechange of shorelines, remote sensing data, very high resolution aerial imagesand orthophoto maps are utilized for detections of change on shorelines. It ispossible to monitor coastal changes by extracting the coastline from orthophotomaps. 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 bysignificant coastal changes caused by climate change, storms, erosion, humanactivities and other reasons and they must be monitored. In this study, anobject-oriented approach has been proposed to detect shoreline and detect thechanges 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 thepixel-based methods especially for high resolution images to avoidmix-classification. In the presented study the eCognition object-oriented fuzzyimage processing software has been used. The results were compared to theresults derived from manual digitizing. Extracted and manually digitizedshorelines have been divided in 5 m segments in x axis. The y coordinates ofthe new nodes were taken from the original “.dxf” file or computed byinterpolation. Thus, the RMS errors of selected points were calculated.
  • 关键词:Shoreline extraction; object-oriented classification; image processing; change detection; orthophoto map
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