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Detecting vegetation changes in a wetland area in Northern Germany using earth observation and geodata / Konstanze Kleinod 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 115 - 125 Titre : Detecting vegetation changes in a wetland area in Northern Germany using earth observation and geodata Type de document : Article/Communication Auteurs : Konstanze Kleinod, Auteur ; Michael Wissen, Auteur ; Michaël Bock, Auteur Année de publication : 2005 Article en page(s) : pp 115 - 125 Note générale : biblographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Allemagne [Termes IGN] carte de la végétation [Termes IGN] détection de changement [Termes IGN] image aérienne [Termes IGN] image Landsat-TM [Termes IGN] restauration du milieu naturel [Termes IGN] végétation [Termes IGN] zone humide Résumé : (auteur) Monitoring land use and landscape dynamics in conservation areas is important to understand and influence nature and restoration processes. Earth observation data can help to detect changes automatically in extensive areas. In a wetland area in Northern Germany different change detection methods have been tested to detect wetland restoration processes, especially succession of wetland and moorland vegetation over 11 years. Therefore a change detection method based on a selective principal component analysis followed by a fuzzy membership function introduced by Weiers et al. (2001). was tested with dual date Landsat TM/ETM+ images. As comparison vegetation maps and Colour-infrared (CIR)-aerial photographs were analysed. The main objectives were to find out (1) if changes, especially vegetation changes, can be detected on the study area by the method as described by Weiers et al. (2001), (2) which changes can be detected and (3) which is the best method on the study area, respectively: the Landsat change detection method, the analysis of vegetation maps or the interpretation of CIR-aerial photographs. For detecting vegetation changes the most detailed information were achieved by interpreting CIR-aerial photographs, while the Landsat change detection method turned out to be more suitable for detecting changes of wetness. Numéro de notice : A2005-009 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1016/j.jnc.2005.01.004 Date de publication en ligne : 23/01/2005 En ligne : http://dx.doi.org/10.1016/j.jnc.2005.01.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81062 [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]