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A new methodology for measuring coastline recession using buffering and non-linear least squares estimation / J. Heo in International journal of geographical information science IJGIS, vol 23 n°9-10 (september 2009)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 23 n°9-10 (september 2009) . - pp 1165 - 1177 Titre : A new methodology for measuring coastline recession using buffering and non-linear least squares estimation Type de document : Article/Communication Auteurs : J. Heo, Auteur ; J.H. Kim, Auteur ; J.W. Kim, Auteur Année de publication : 2009 Article en page(s) : pp 1165 - 1177 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] analyse comparative [Termes IGN] création de zone intermédiaire [Termes IGN] érosion côtière [Termes IGN] ligne de base [Termes IGN] littoral [Termes IGN] méthode des moindres carrés [Termes IGN] segmentation dynamique [Termes IGN] variabilité Résumé : (Auteur) Coastline recession is one of the best indicators of coastal erosion. Three methods for computing coastline recession - the baseline approach, the dynamic segmentation approach and the area-based approach - have been used, each of which has one or more drawbacks. To overcome these problems, a new methodology for measuring coastline recession is proposed, using buffering and non-linear least squares estimation. The proposed method was compared with the three existing methods with respect to two simulated cases and two real coastlines. Test results confirmed that the new method is more reliable than the three other methods, all of which are susceptible to variability of recession, scale, number of line segments, length of coastlines and direction of the baseline. The proposed method, incorporating two physically meaningful values - magnitude and variability of coastline recession according to the mean and standard deviation of coastline offsets, respectively - presents itself as an effective alternative method of assessing coastline recession. Copyright Taylor & Francis Numéro de notice : A2009-384 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810802035642 En ligne : https://doi.org/10.1080/13658810802035642 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30014 [article]

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