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Sub-pixel estimation of urban land cover components with linear mixture model analysis and Landsat Thematic Mapper imagery / S. Lee in International Journal of Remote Sensing IJRS, vol 26 n° 22 (November 2005)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 26 n° 22 (November 2005) . - pp 4885 - 4905 Titre : Sub-pixel estimation of urban land cover components with linear mixture model analysis and Landsat Thematic Mapper imagery Type de document : Article/Communication Auteurs : S. Lee, Auteur ; R.G. Lathrop, Auteur Année de publication : 2005 Article en page(s) : pp 4885 - 4905 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse comparative [Termes IGN] analyse d'image numérique [Termes IGN] analyse linéaire des mélanges spectraux [Termes IGN] écosystème [Termes IGN] image Ikonos [Termes IGN] image Landsat-ETM+ [Termes IGN] orthoimage [Termes IGN] photo-interprétation assistée par ordinateur [Termes IGN] zone urbaine Résumé : (Auteur) We examine the utility of linear mixture modelling in the sub-pixel analysis of Landsat Enhanced Thematic Mapper (ETM) imagery to estimate the three key land cover components in an urban/suburban setting: impervious surface, managed/unmanaged lawn and tree cover. The relative effectiveness of two different endmember sets was also compared. The interior endmember set consisted of the median pixel value of the training pixels of each land cover and the exterior endmember set was the extreme pixel value. As a means of accuracy assessment, the resulting land cover estimates were compared with independent estimates obtained from the visual interpretation of digital orthophotography and classified IKONOS imagery. Impervious surface estimates from the Landsat ETM showed a high degree of similarity (RMS error (RMSE) within approximately + 10 to 15%) to that obtained using high spatial resolution digital orthophotography and IKONOS imagery. The partition of the vegetation component into tree vs grass cover was more problematic due to the greater spectral similarity between these land cover types with RMSE of approximately + 12 to 22%. The interior endmember set appeared to provide better differentiation between grass and urban tree cover than the exterior endmember set. The ability to separate the grass vs tree components in urban vegetation is of major importance to the study of the urban/suburban ecosystems as well as watershed assessment. Numéro de notice : A2005-508 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500300222 En ligne : https://doi.org/10.1080/01431160500300222 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27644 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-05221	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt

Quantitative classification as a tool to show change in an urbanizing watershed / W.B. Clapham in International Journal of Remote Sensing IJRS, vol 26 n° 22 (November 2005)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 26 n° 22 (November 2005) . - pp 4923 - 4939 Titre : Quantitative classification as a tool to show change in an urbanizing watershed Type de document : Article/Communication Auteurs : W.B. Clapham, Auteur Année de publication : 2005 Article en page(s) : pp 4923 - 4939 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse diachronique [Termes IGN] bassin hydrographique [Termes IGN] classification [Termes IGN] couvert végétal [Termes IGN] écologie [Termes IGN] écoulement des eaux [Termes IGN] graphe [Termes IGN] image Landsat-ETM+ [Termes IGN] image Landsat-TM [Termes IGN] modèle hydrographique [Termes IGN] modèle numérique de surface [Termes IGN] Ohio (Etats-Unis) [Termes IGN] surface imperméable [Termes IGN] système d'information géographique [Termes IGN] urbanisation Résumé : (Auteur) Quantitative classification of Landsat Thematic Mapper (TM and ETM +) imagery can provide a very useful medium for showing urban change at a watershed scale. It shows both the nature and the degree of urbanization with a resolution equivalent to that of the original TM image. Estimates of urbanization-related factors such as surface imperviousness and canopy cover can be coupled to illustrate the process of urban growth in the watershed using change vector analysis. When used together and combined with standard GIS data sets such as digital line graphs and digital elevation models. Quantitative classification can provide the parameters needed to run standard hydrological models that can be used to describe or to forecast the effects of urbanization on area streams. Watersheds provide a meaningful scale for the analysis of the connections between urbanization and the environmental changes it brings. The study area for this paper is the Tinker's Creek watershed in northeast Ohio, USA. Tinker's Creek is one of the largest and most varied watersheds in the area, and it is subject to significant urbanization stress. Urbanization in the watershed is reflected in four TM images of northeast Ohio over a 15 year period (1984-1999). Quantitative classification provides a rich and detailed picture of urbanization over the time period of the study. Numéro de notice : A2005-509 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500222665 En ligne : https://doi.org/10.1080/01431160500222665 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27645 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-05221	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt