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Improving National Land Cover Database estimates of road network impervious cover using vector road networks in GIS / K. Thomas in SaLIS Surveying and land information science, vol 68 n° 1 (March 2008)

Public [article]  inSaLIS Surveying and land information science > vol 68 n° 1 (March 2008) . - pp 21 - 27 Titre : Improving National Land Cover Database estimates of road network impervious cover using vector road networks in GIS Type de document : Article/Communication Auteurs : K. Thomas, Auteur ; T.A. Endreny, Auteur Année de publication : 2008 Article en page(s) : pp 21 - 27 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] ArcGIS [Termes IGN] base de données d'occupation du sol [Termes IGN] données vectorielles [Termes IGN] rastérisation [Termes IGN] réseau routier [Termes IGN] ruissellement [Termes IGN] surface imperméable Résumé : (Auteur) Polyline data are often adequate for qualitative representation of roadways for mapping and GIS yet they are often lacking when compared with surface coverages, such as raster data, for performing quantitative environmental simulation modeling where spatial representations are necessary. Widely used land cover raster data, such as the National Land Cover Database (NLCD), were however not collected with sufficient spatial resolution to allow adequate representation of small-scale features such as roadways. Using tools available in ArcGIS software, vector road files were obtained from the Accident Location Information System (ALIS) at the New York State Department of Transportation (NYSDOT) and converted to raster data to create spatially explicit representations of impervious area associated with roadways. Comparison of this new coverage with the NLCD results in an increase of approximately 3120 km2 of newly identified impervious coverage for New York State (NYS) not present in the NLCD, representing a 244 percent increase from the transportation class in the NLCD. Of the land cover that would be reclassified to roadway using this methodology, approximately 40 percent would be reclassified from forest land, 31 percent from agricultural land, and 28 percent from the residential land cover classifications. Copyright SaLIS Numéro de notice : A2008-266 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83663 [article]

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