Centre de documentation
scientifique

Urban land-cover change analysis in central Puget Sound / M. Alberti in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 9 (September 2004)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 9 (September 2004) . - pp 1043 - 1052 Titre : Urban land-cover change analysis in central Puget Sound Type de document : Article/Communication Auteurs : M. Alberti, Auteur ; R. Weeks, Auteur ; S. Coe, Auteur Année de publication : 2004 Article en page(s) : pp 1043 - 1052 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse des mélanges spectraux [Termes IGN] analyse diachronique [Termes IGN] classification dirigée [Termes IGN] croissance urbaine [Termes IGN] détection de changement [Termes IGN] image Landsat-ETM+ [Termes IGN] image Landsat-TM [Termes IGN] occupation du sol [Termes IGN] Washington D.C. Résumé : (Auteur) A methodology was developed to interpret and assess land cover change between 1991 and 1999 in Central Puget Sound, Washington at several scales (landscape, sub-basins, and 90 m grid window) relevant to regional and local decision makers. Land cover data are derived from USGS Landsat (Thematic Mapper and Enhanced Thematic Mapper +) images of Central Puget Sound. Landsat data were registered, intercalibrated, and corrected for atmosphere and topography to ensure accuracy of land cover change assessment. We apply a hybrid classification method to each image to address the spectral heterogeneity of urbanizing regions. The method combines a supervised classification approach with a spectral unmixing approach to produce seven classes: > 75 percent impervious, 15 to 75 percent impervious, forest, grass, clear cut, bare soil, and water. Land cover change is identified using the direct spatial comparison of classified images derived independentlyfor each time period. We assess that the overall accuracy of each classified image was 91 Percent for 1991 and 88 percent for 1999 respectively, which produces an accuracy of 85 percent for the change analysis. Our results show that urban growth over the last decade has produced an overall 6.7 percent increase in paved area. Numéro de notice : A2004-346 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.9.1043 En ligne : https://doi.org/10.14358/PERS.70.9.1043 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26873 [article]