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Terrestrial and submerged aquatic vegetation mapping in Fire Island national seashore using high spatial resolution remote sensing data / Y. Wang in Marine geodesy, vol 30 n° 1-2 (March - June 2007)  

Public [article]  inMarine geodesy > vol 30 n° 1-2 (March - June 2007) . - pp 77 - 95 Titre : Terrestrial and submerged aquatic vegetation mapping in Fire Island national seashore using high spatial resolution remote sensing data Type de document : Article/Communication Auteurs : Y. Wang, Auteur ; M. Traber, Auteur ; B. Milstead, Auteur ; S. Stevens, Auteur Année de publication : 2007 Article en page(s) : pp 77 - 95 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] carte de la végétation [Termes IGN] classification dirigée [Termes IGN] données bathymétriques [Termes IGN] ERDAS Imagine [Termes IGN] extraction automatique [Termes IGN] herbier marin [Termes IGN] image à très haute résolution [Termes IGN] image Quickbird [Termes IGN] image vidéo [Termes IGN] littoral [Termes IGN] parc naturel national [Termes IGN] photographie sous-marine [Termes IGN] plante aquatique d'eau salée [Termes IGN] plante halophile [Termes IGN] précision de la classification [Termes IGN] Rhode Island (Etats-Unis) Résumé : (Auteur) The vegetation communities and spatial patterns on the Fire Island National Seashore are dynamic as the result of interactions with driving forces such as sand deposition, storm-driven over wash, salt spray, surface water, as well as with human disturbances. We used high spatial resolution QuickBird-2 satellite remote sensing data to map both terrestrial and submerged aquatic vegetation communities of the National Seashore. We adopted a stratified classification and unsupervised classification approach for mapping terrestrial vegetation types. Our classification scheme included detailed terrestrial vegetation types identified by previous vegetation mapping efforts of the National Park Service and three generalized categories of high-density seagrass, low-density seagrass coverages, and unvegetated bottom to map the submerged aquatic vegetation habitats. We used underwater videography, GPS-guided field reference photography, and bathymetric data to support remote sensing image classification and information extraction. This study achieved approximately 82% and 75% overall classification accuracy for the terrestrial and submerged aquatic vegetations, respectively, and provided an updated vegetation inventory and change analysis for the Northeast Coastal and Barrier Network of the National Park Service. Copyright Taylor & Francis Numéro de notice : A2007-436 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1080/01490410701296226 En ligne : https://doi.org/10.1080/01490410701296226 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28799 [article]

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