Comparing Urban Impervious Surface Identification Using Landsat and High Resolution Aerial Photography

dc.contributor.authorParece, Tammy E.en
dc.contributor.authorCampbell, James B. Jr.en
dc.contributor.departmentGeographyen
dc.coverage.cityRoanokeen
dc.coverage.stateVirginiaen
dc.date.accessed2014-01-06en
dc.date.accessioned2014-01-15T14:16:37Zen
dc.date.available2014-01-15T14:16:37Zen
dc.date.issued2013-10-10en
dc.description.abstractThis paper evaluates accuracies of selected image classification strategies, as applied to Landsat imagery to assess urban impervious surfaces by comparing them to reference data manually delineated from high-resolution aerial photos. Our goal is to identify the most effective methods for delineating urban impervious surfaces using Landsat imagery, thereby guiding applications for selecting cost-effective delineation techniques. A high-resolution aerial photo was used to delineate impervious surfaces for selected census tracts for the City of Roanoke, Virginia. National Land Cover Database Impervious Surface data provided an overall accuracy benchmark at the city scale which was used to assess the Landsat classifications. Three different classification methods using three different band combinations provided overall accuracies in excess of 70% for the entire city. However, there were substantial variations in accuracy when the results were subdivided by census tract. No single classification method was found most effective across all census tracts; the best method for a specific tract depended on method, band combination, and physical characteristics of the area. These results highlight impacts of inherent local variability upon attempts to characterize physical structures of urban regions using a single metric, and the value of analysis at finer spatial scales.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationParece, Tammy E.; Campbell, James B. 2013. "Comparing Urban Impervious Surface Identification Using Landsat and High Resolution Aerial Photography." Remote Sens. 2013, 5(10), 4942-4960; doi:10.3390/rs5104942.en
dc.identifier.doihttps://doi.org/10.3390/rs5104942en
dc.identifier.issn2072-4292en
dc.identifier.urihttp://hdl.handle.net/10919/24857en
dc.identifier.urlhttp://www.mdpi.com/2072-4292/5/10/4942en
dc.language.isoenen
dc.publisherMDPIen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectimpervious surfacesen
dc.subjecturbanen
dc.subjectLandsaten
dc.subjecthigh-resolution imageryen
dc.subjectlanduse classificationen
dc.subjectRoanokeen
dc.subjectVirginiaen
dc.titleComparing Urban Impervious Surface Identification Using Landsat and High Resolution Aerial Photographyen
dc.title.serialRemote Sensingen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
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