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Mapping an invasive plant, Phragmites australis [roseau], in coastal wetlands using the EO-1 Hyperion hyperspectral sensor / B.W. Pengra in Remote sensing of environment, vol 108 n° 1 (15/05/2007)  

Public [article]  inRemote sensing of environment > vol 108 n° 1 (15/05/2007) . - pp 74 - 81 Titre : Mapping an invasive plant, Phragmites australis [roseau], in coastal wetlands using the EO-1 Hyperion hyperspectral sensor Type de document : Article/Communication Auteurs : B.W. Pengra, Auteur ; C.A. Johnston, Auteur ; T.R. Loveland, Auteur Année de publication : 2007 Article en page(s) : pp 74 - 81 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] carte thématique [Termes IGN] espèce exotique envahissante [Termes IGN] Grands Lacs [Termes IGN] image EO1-Hyperion [Termes IGN] image hyperspectrale [Termes IGN] marais [Termes IGN] phytogéographie [Termes IGN] plante aquatique d'eau salée [Termes IGN] répartition géographique [Termes IGN] Wisconsin (Etats-Unis) Résumé : (Auteur) Mapping tools are needed to document the location and extent of Phragmites australis, a tall grass that invades coastal marshes throughout North America, displacing native plant species and degrading wetland habitat. Mapping Phragmites is particularly challenging in the freshwater Great Lakes coastal wetlands due to dynamic lake levels and vegetation diversity. We tested the applicability of Hyperion hyperspectral satellite imagery for mapping Phragmites in wetlands of the west coast of Green Bay in Wisconsin, U.S.A. A reference spectrum created using Hyperion data from several pure Phragmites stands within the image was used with a Spectral Correlation Mapper (SCM) algorithm to create a raster map with values ranging from 0 to 1, where 0 represented the greatest similarity between the reference spectrum and the image spectrum and 1 the least similarity. The final two-class thematic classification predicted monodominant Phragmites covering 3.4% of the study area. Most of this was concentrated in long linear features parallel to the Green Bay shoreline, particularly in areas that had been under water only six years earlier when lake levels were 66 cm higher. An error matrix using spring 2005 field validation points (n = 129) showed good overall accuracy—81.4%. The small size and linear arrangement of Phragmites stands was less than optimal relative to the sensor resolution, and Hyperion's 30 m resolution captured few if any pure pixels. Contemporary Phragmites maps prepared with Hyperion imagery would provide wetland managers with a tool that they currently lack, which could aid attempts to stem the spread of this invasive species. Copyright Elsevier Numéro de notice : A2007-217 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.11.002 En ligne : https://doi.org/10.1016/j.rse.2006.11.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28580 [article]

Mapping submergent aquatic vegetation in the US Great Lakes using Quickbird satellite data / P.T. Wolter in International Journal of Remote Sensing IJRS, vol 26 n° 23 (December 2005)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 26 n° 23 (December 2005) . - pp 5255 - 5274 Titre : Mapping submergent aquatic vegetation in the US Great Lakes using Quickbird satellite data Type de document : Article/Communication Auteurs : P.T. Wolter, Auteur ; C.A. Johnston, Auteur ; G.J. Niemi, Auteur Année de publication : 2005 Article en page(s) : pp 5255 - 5274 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] carte de la végétation [Termes IGN] données bathymétriques [Termes IGN] écosystème [Termes IGN] Etats-Unis [Termes IGN] Grands Lacs [Termes IGN] image multitemporelle [Termes IGN] image Quickbird [Termes IGN] macrophyte [Termes IGN] photo-interprétation Résumé : (Auteur) Submergent aquatic vegetation (SAV) is a powerful indicator of environmental conditions in both marine and fresh water ecosystems. Quickbird imagery was used to map SAV at three sites across the Great Lakes. Unsupervised classifications were performed at each site using summer Quickbird sensor data. At one site, a multi-temporal classification approach was added, combining visible red difference (May August) with August red and green visible band data. Multi-temporal SAV classification was superior to single-date results at this site. Muck bottom was not seriously confused with SAV, which was unexpected. Multi-temporal classification results showed less confusion between deep water and SAV, although spectral variability due to sub-surface sandbar structure was a source of error in both single-and multi-date classifications. Nevertheless, some of the confounding effects of water column on SAV classification appear to have been mitigated using this multi-temporal approach. Future efforts would be well served by incorporating detailed, continuous, bathymetry data in the classification process. Quickbird sensor data are very useful for classifying SAV under US Great Lakes conditions. However, regional classification efforts using these data may be impractical at this time, as high cost, rigid tasking parameters and impredictable water conditions limit availability of suitable imagery. Numéro de notice : A2005-516 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500219208 En ligne : https://doi.org/10.1080/01431160500219208 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27652 [article]

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-05231	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt

Quantitative analysis of ecotones using a geographic information system / C.A. Johnston in Photogrammetric Engineering & Remote Sensing, PERS, vol 55 n° 11 (november 1989)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 55 n° 11 (november 1989) . - pp 1643 - 1647 Titre : Quantitative analysis of ecotones using a geographic information system Type de document : Article/Communication Auteurs : C.A. Johnston, Auteur ; J. Bonde, Auteur Année de publication : 1989 Article en page(s) : pp 1643 - 1647 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] classification [Termes IGN] données maillées [Termes IGN] écologie [Termes IGN] système d'information géographique Numéro de notice : A1989-379 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans En ligne : https://www.asprs.org/wp-content/uploads/pers/1989journal/nov/1989_nov_1643-1647 [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=25338 [article]

Geographic information systems for cumulative impact assessment / C.A. Johnston in Photogrammetric Engineering & Remote Sensing, PERS, vol 54 n° 11 (november 1988)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 54 n° 11 (november 1988) . - pp 1609 - 1615 Titre : Geographic information systems for cumulative impact assessment Type de document : Article/Communication Auteurs : C.A. Johnston, Auteur ; N.E. Detenbeck, Auteur ; J.P. Bonde, Auteur ; G.J. Niemi, Auteur Année de publication : 1988 Article en page(s) : pp 1609 - 1615 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique [Termes IGN] données statistiques [Termes IGN] ligne de partage des eaux [Termes IGN] photo-interprétation [Termes IGN] système d'information géographique Numéro de notice : A1988-317 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : sans En ligne : https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ve [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=24896 [article]