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Alternative representations of in-stream habitat: classification using remote sensing, hydraulic modelling, and fuzzy logic / C. Legleiter in International journal of geographical information science IJGIS, vol 19 n° 1 (january 2005)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 19 n° 1 (january 2005) . - pp 29 - 50 Titre : Alternative representations of in-stream habitat: classification using remote sensing, hydraulic modelling, and fuzzy logic Type de document : Article/Communication Auteurs : C. Legleiter, Auteur ; Michael F. Goodchild, Auteur Année de publication : 2005 Article en page(s) : pp 29 - 50 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Information géographique [Termes IGN] classification floue [Termes IGN] cours d'eau [Termes IGN] écosystème [Termes IGN] habitat animal [Termes IGN] incertitude des données [Termes IGN] limite indéterminée [Termes IGN] logique floue [Termes IGN] modèle hydrographique [Termes IGN] zone inondable Résumé : (Auteur) Improved techniques are needed to characterize complex fluvial systems and monitor ecologically important, yet highly vulnerable riverine environments. This paper explores potential alternatives to traditional mapping of in-stream habitat and presents fuzzy set theory as a means of departing from the rigid, Boolean, object-based framework. We utilize hydrodynamic modeling, remotely sensed data, and fuzzy clustering to obtain classifications that allow for continuous partial membership and gradual transitions among habitat types. Methods of assessing cluster validity are available, but data quality is a crucial consideration. Crisp, vector-based representations can be derived from raster fuzzy classifications by applying a threshold to maximum membership values. This process results in conditional objects separated by ambiguous transition zones, and a compromise must be reached between the proportion of the channel assigned to polygons and the certainty with which this assignment can be made. Spatial patterns of classification uncertainty can also be used to identify areas of confusion, infer boundaries of variable width, and highlight areas of increased habitat diversity. Hydraulic modeling and remote sensing complement one another and, together with field work, could provide a more realistic representation of the fluvial environment. Numéro de notice : A2005-020 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810412331280220 En ligne : https://doi.org/10.1080/13658810412331280220 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27159 [article]

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