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Kernel based re-classification of Earth observation data for fine scale habitat mapping / Iphigenia Keramitsoglou in Journal for nature conservation, vol 13 n° 2-3 (July 2005)  

Public [article]  inJournal for nature conservation > vol 13 n° 2-3 (July 2005) . - pp 91 - 99 Titre : Kernel based re-classification of Earth observation data for fine scale habitat mapping Type de document : Article/Communication Auteurs : Iphigenia Keramitsoglou, Auteur ; Charalambos Kontoes, Auteur ; Nicolas Sifakis, Auteur ; Jonathan Mitchley, Auteur ; Panteleimon Xofis, Auteur Année de publication : 2005 Article en page(s) : pp 91 - 99 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] classification pixellaire [Termes IGN] habitat (nature) [Termes IGN] image Ikonos [Termes IGN] image Quickbird [Termes IGN] site Natura 2000 Résumé : (auteur) State-of-the-art Earth observation systems that provide very high spatial resolution imagery have given ecologists a powerful tool to directly identify species, habitats and other ecological units. At the same time, there is an urgent need for harmonised tools and methods to evaluate status and trends in European habitats. Towards that goal, the current work explores the applicability and transferability of an advanced pixel window classifier applied on very high spatial resolution satellite imagery for fine scale habitat mapping. The algorithm is tested on images of varying spatial resolutions acquired over test sites designated for the NATURA 2000 list located in different biogeographical zones. Algorithm application to Quickbird and IKONOS images gives encouraging results, regarding both the overall accuracies and the level of class hierarchy (habitats) identified. Numéro de notice : A2005-008 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET Nature : Article DOI : 10.1016/j.jnc.2005.02.004 En ligne : http://dx.doi.org/10.1016/j.jnc.2005.02.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81066 [article]

Object-oriented methods for habitat mapping at multiple scales : Case studies from Northern Germany and Wye Downs, UK / Michaël Bock in Journal for nature conservation, vol 13 n° 2-3 (July 2005)  

Public [article]  inJournal for nature conservation > vol 13 n° 2-3 (July 2005) . - pp 75 - 89 Titre : Object-oriented methods for habitat mapping at multiple scales : Case studies from Northern Germany and Wye Downs, UK Type de document : Article/Communication Auteurs : Michaël Bock, Auteur ; Panteleimon Xofis, Auteur ; Jonathan Mitchley, Auteur ; Godela Rossner, Auteur ; Michael Wissen, Auteur Année de publication : 2005 Article en page(s) : pp 75 - 89 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] classification orientée objet [Termes IGN] écotone [Termes IGN] habitat (nature) [Termes IGN] image à très haute résolution [Termes IGN] image aérienne [Termes IGN] image Landsat-ETM+ [Termes IGN] image Landsat-TM [Termes IGN] prairie [Termes IGN] Schleswig-Holstein (Allemagne) [Termes IGN] site Natura 2000 [Termes IGN] zone humide [Vedettes matières IGN] Ecologie forestière Résumé : (auteur) This paper presents an application of object-oriented techniques for habitat classification based on remotely sensed images and ancillary data. The study reports the results of habitat mapping at multiple scales using Earth Observation (EO) data at various spatial resolutions and multi temporal acquisition dates. We investigate the role of object texture and context in classification as well as the value of integrating knowledge from ancillary data sources. Habitat maps were produced at regional and local scales in two case studies; Schleswig-Holstein, Germany and Wye Downs, United Kingdom. At the regional scale, the main task was the development of a consistent object-oriented classification scheme that is transferable to satellite images for other years. This is demonstrated for a time series of Landsat TM/ETM+ scenes. At the local scale, investigations focus on the development of appropriate object-oriented rule networks for the detailed mapping of habitats, e.g. dry grasslands and wetlands using very high resolution satellite and airborne scanner images. The results are evaluated using statistical accuracy assessment and visual comparison with traditional field-based habitat maps. Whereas the application of traditional pixel-based classification result in a pixelised (salt and pepper) representation of land cover, the object-based classification technique result in solid habitat objects allowing easy integration into a vector-GIS for further analysis. The level of detail obtained at the local scale is comparable to that achieved by visual interpretation of aerial photographs or field-based mapping and also retains spatially explicit, fine scale information such as scrub encroachment or ecotone patterns within habitats. Numéro de notice : A2005-597 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1016/j.jnc.2004.12.002 En ligne : http://dx.doi.org/10.1016/j.jnc.2004.12.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80352 [article]