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Mapping urban land cover using Quickbird NDVI and GIS spatial modeling for runoff coefficient determination / P. Thanapura in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 1 (January 2007)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 1 (January 2007) . - pp 57 - 65 Titre : Mapping urban land cover using Quickbird NDVI and GIS spatial modeling for runoff coefficient determination Type de document : Article/Communication Auteurs : P. Thanapura, Auteur ; D.L. Helder, Auteur ; S. Burckhard, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 57 - 65 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] bassin hydrographique [Termes IGN] carte d'occupation du sol [Termes IGN] classification non dirigée [Termes IGN] image Quickbird [Termes IGN] modèle mathématique [Termes IGN] Normalized Difference Vegetation Index [Termes IGN] ruissellement [Termes IGN] surface imperméable [Termes IGN] système d'information géographique [Termes IGN] zone urbaine Résumé : (Auteur) This research presents an integration of remote sensing and GIS for determining the runoff coefficient (C) recommended by the American Society of Civil Engineers and the Water Pollution Control Federation in 1969. The C is a runoff index used as an input parameter in the most commonly used procedure: the rational method for storm-water runoff calculation in small urban watersheds for storm drainage design and analysis. The objective of this study was to evaluate 8-bit and 16-bit Quick-Bird (QB) NDVI satellite imagery using an unsupervised classification and the ISODATA algorithm to map impervious area and open space used for the determination of C in GIS spatial modeling. The research hypothesis was that mapping impervious area and open space using high spatial resolution NDVI satellite imagery, generated using the ISODATA algorithm, was an efficient and effective information extraction approach for accurately estimating spatial representative C values. The overall classification accuracies of the six QB NDVI thematic maps produced were similar, about 92 percent. In order to assess the utility of high spatial resolution satellite imagery and to validate the composite runoff index geographic model developed by Thanapura in 2005 and 2006, the C values were calculated in GIS spatial modeling and compared to the industry standard C. Finally, the hypothesis was accepted that the finer resolution image and mapping approach used in this study allowed for better discrimination of land-cover and thus a more accurate representative C estimation. Copyright ASPRS Numéro de notice : A2007-012 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.1.57 En ligne : https://doi.org/10.14358/PERS.73.1.57 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28378 [article]