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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]

The characteristics and interpretability of land surface change and implications for project design / T.L. Sohl in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 4 (April 2004)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 4 (April 2004) . - pp 439 - 448 Titre : The characteristics and interpretability of land surface change and implications for project design Type de document : Article/Communication Auteurs : T.L. Sohl, Auteur ; A.L. Gallant, Auteur ; T.R. Loveland, Auteur Année de publication : 2004 Article en page(s) : pp 439 - 448 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photo-interprétation [Termes IGN] classification automatique d'objets [Termes IGN] détection de changement [Termes IGN] occupation du sol [Termes IGN] photo-interprétation [Termes IGN] photo-interprétation assistée par ordinateur Résumé : (Auteur) The need for comprehensive, accurate information on landcover change has never been greater. While remotely sensed imagery affords the opportunity to provide information on land-cover change over large geographic expanses at a relatively low cost, the characteristics of land-surface change bring into question the suitability of many commonly used methodologies. Algorithm-based methodologies to detect change generally cannot provide the same level of accuracy as the analyses done by human interpreters. Results from the Land Cover Trends project, a cooperative venture that includes the U.S. Geological Survey, Environmental Protection Agency, and National Aeronautics and Space Administration, have shown that land-cover conversion is a relatively rare event, occurs locally in small patches, varies geographically and temporally, and is spectrally ambiguous. Based on these characteristics of change and the type of information required, manual interpretation was selected as the primary means of detecting change in the Land Cover Trends project. Mixtures of algorithm-based detection and manual interpretation may often prove to be the most feasible and appropriate design for change-detection applications. Serious examination of the expected characteristics and measurability of change must be considered during the design and implementation phase of any change analysis project. Numéro de notice : A2004-120 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.4.439 En ligne : https://doi.org/10.14358/PERS.70.4.439 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26647 [article]