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Landsat urban mapping based on a combined spectral-spatial methodology / B. Guindon in Remote sensing of environment, vol 92 n° 2 (15/08/2004)  

Public [article]  inRemote sensing of environment > vol 92 n° 2 (15/08/2004) . - pp 218 - 232 Titre : Landsat urban mapping based on a combined spectral-spatial methodology Type de document : Article/Communication Auteurs : B. Guindon, Auteur ; Y. Zhang, Auteur ; C. Dillabaugh, Auteur Année de publication : 2004 Article en page(s) : pp 218 - 232 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Calgary [Termes IGN] cartographie urbaine [Termes IGN] classification [Termes IGN] données maillées [Termes IGN] données vectorielles [Termes IGN] fusion d'images [Termes IGN] identification automatique [Termes IGN] image Landsat-TM [Termes IGN] milieu urbain [Termes IGN] occupation du sol [Termes IGN] Ontario (Canada) [Termes IGN] Ottawa [Termes IGN] pixel [Termes IGN] utilisation du sol Résumé : (Auteur) Urban mapping using Landsat Thematic Mapper (TM) imagery presents numerous challenges. These include spectral mixing of diverse land cover components within pixels, spectral confusion with other land cover features such as fallow agricultural fields and the fact that urban classes of interest are of the land use and not the land cover category. A new methodology to address these issues is proposed. This approach involves, as a first step, the generation of two independent but rudimentary land cover products, one spectral-based at the pixel level and the other segment-based. These classifications are then merged through a rule-based approach to generate a final product with enhanced land use classes and accuracy. A comprehensive evaluation of derived products of Ottawa, Calgary and cities in southwestern Ontario is presented based on conventional ground reference data as well as inter-classification consistency analyses. Producer accuracies of 78% and 73% have been achieved for urban 'residential' and 'commercial/industrial' classes. respectively. The capability of Landsat TM to detect low density residential areas is assessed based on dwelling and population data derived from aerial photography and the 2001 Canadian census. For low population densities (i.e. below 3000 persons/km2), density is observed to be monotonically related to the fraction of pixels labeled 'residential'. At higher densities, the fraction of pixels labeled 'residential' remains constant due to Landsat's inability to distinguish between high-rise apartment dwellings and commercial/industrial structures. Numéro de notice : A2004-335 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.06.015 En ligne : https://doi.org/10.1016/j.rse.2004.06.015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26862 [article]