{"id":{"repo_id":"vt","oai_identifier":"oai:vtechworks.lib.vt.edu:10919/72869"},"canonical_url":"https://search.dev.ndltd.org/etd/vt/oai:vtechworks.lib.vt.edu:10919/72869","repository":{"repo_id":"vt","name":"Virginia Tech","base_url":"https://vtechworks.lib.vt.edu/oai/request"},"display":{"title":"A Comparison of Imperviousness Derived from a Detailed Land Cover Dataset (DLCD) versus the National Land Cover Dataset (NLCD) at Two Time Periods","abstract":"To address accuracy concerns of the National Land Cover Dataset (NLCD), this case study compares impervious surface from the NLCD to a Detailed Land Cover Dataset (DLCD) for the Town of Blacksburg, Virginia over two time periods (2005/2006 and 2011) at spatial aggregation scales (fine to coarse) and scopes (site-specific to area-extent). When comparing the total impervious surface area, the NLCD overestimated the DLCD by appreciable amounts (12-27%) for the entire town and across all specified land use zones for both time periods examined. A binary pixel-wise accuracy assessment of impervious surface revealed that the NLCD performed well for all scopes except for the single family land use zone (user accuracy <40%). The spatial aggregation of pixels to 90-m led to improved agreement between the two datasets. Using the DLCD as a reference, an empirical normalization equation was successfully applied to the NLCD to further reduce overestimation and data skewness.","abstract_html":"To address accuracy concerns of the National Land Cover Dataset (NLCD), this case study compares impervious surface from the NLCD to a Detailed Land Cover Dataset (DLCD) for the Town of Blacksburg, Virginia over two time periods (2005/2006 and 2011) at spatial aggregation scales (fine to coarse) and scopes (site-specific to area-extent). When comparing the total impervious surface area, the NLCD overestimated the DLCD by appreciable amounts (12-27%) for the entire town and across all specified land use zones for both time periods examined. A binary pixel-wise accuracy assessment of impervious surface revealed that the NLCD performed well for all scopes except for the single family land use zone (user accuracy &lt;40%). The spatial aggregation of pixels to 90-m led to improved agreement between the two datasets. Using the DLCD as a reference, an empirical normalization equation was successfully applied to the NLCD to further reduce overestimation and data skewness.","abstract_has_math":false,"creators":["Cooper, Brandon Elliott"],"institution":"Virginia Tech","degree_name":"Master of Science","degree_level":"masters","degree_discipline":"Civil Engineering","degree_department":"Civil and Environmental Engineering","school":null,"contributors":[],"advisors":[],"committee_chairs":["Dymond, Randel L."],"committee_members":["Young, Kevin D.","Shao, Yang"],"year":2016,"date_issued":"2016-09-01","date_published":"2016-09-01","updated_at":"2026-07-22T22:20:35Z","subjects":["Land Cover","Impervious Surface","Land Use","Remotely Sensed Imagery","Stormwater"],"languages":[],"rights":["In Copyright"],"rights_urls":["http://rightsstatements.org/vocab/InC/1.0/"],"identifier_entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["vt_gsexam:8301"],"render_values":[{"text":"vt_gsexam:8301","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/10919/72869","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.committeechair","label":"Committee Chair","values":["Dymond, Randel L."]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Young, Kevin D.","Shao, Yang"]},{"key":"dc:contributor.department","label":"Department","values":["Civil and Environmental Engineering"]},{"key":"dc:creator","label":"Author","values":["Cooper, Brandon Elliott"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2016-09-02T08:00:37Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2016-09-02T08:00:37Z"]},{"key":"dc:date.issued","label":"Date","values":["2016-09-01"]},{"key":"dc:publisher","label":"Institution","values":["Virginia Tech"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Civil Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Virginia Polytechnic Institute and State University"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Land Cover","Impervious Surface","Land Use","Remotely Sensed Imagery","Stormwater"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["In Copyright"]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://rightsstatements.org/vocab/InC/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["vt_gsexam:8301"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10919/72869"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["To address accuracy concerns of the National Land Cover Dataset (NLCD), this case study compares impervious surface from the NLCD to a Detailed Land Cover Dataset (DLCD) for the Town of Blacksburg, Virginia over two time periods (2005/2006 and 2011) at spatial aggregation scales (fine to coarse) and scopes (site-specific to area-extent). When comparing the total impervious surface area, the NLCD overestimated the DLCD by appreciable amounts (12-27%) for the entire town and across all specified land use zones for both time periods examined. A binary pixel-wise accuracy assessment of impervious surface revealed that the NLCD performed well for all scopes except for the single family land use zone (user accuracy <40%). The spatial aggregation of pixels to 90-m led to improved agreement between the two datasets. Using the DLCD as a reference, an empirical normalization equation was successfully applied to the NLCD to further reduce overestimation and data skewness."]},{"key":"dc:description.abstractgeneral","label":"General Abstract","values":["To address accuracy concerns of the National Land Cover Dataset (NLCD), this case study compares impervious surface conditions from the NLCD to a Detailed Land Cover Dataset (DLCD) for the Town of Blacksburg, Virginia over two time periods (2005/06 and 2011) at various spatial scales and scopes. When comparing the total impervious surface area, the NLCD overestimated the DLCD by appreciable amounts for the entire town and across all specified land use zones for both time periods examined. A comparison at the pixel level revealed the NLCD performed well for all scopes except for the single family residential land use zone. Although there was improved agreement between the datasets at coarser resolutions, data skewness was still apparent. By using the DLCD as a ground truth reference, a mathematical correction equation was applied to the NLCD to better align it with the DLCD. Reflected through this assessment, inaccuracies within the NLCD need to be further studied to assist local and regional governments to more correctly depict land cover conditions for applications such as land use planning and stormwater management."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["Master of Science"]},{"key":"dc:format.medium","label":"Dc Format Medium","values":["ETD"]},{"key":"dc:title","label":"Title","values":["A Comparison of Imperviousness Derived from a Detailed Land Cover Dataset (DLCD) versus the National Land Cover Dataset (NLCD) at Two Time Periods"]}]}],"canonical_facts":{"dc:contributor.committeechair":["Dymond, Randel L."],"dc:contributor.committeemember":["Young, Kevin D.","Shao, Yang"],"dc:contributor.department":["Civil and Environmental Engineering"],"dc:creator":["Cooper, Brandon Elliott"],"dc:date.accessioned":["2016-09-02T08:00:37Z"],"dc:date.available":["2016-09-02T08:00:37Z"],"dc:date.issued":["2016-09-01"],"dc:description.abstract":["To address accuracy concerns of the National Land Cover Dataset (NLCD), this case study compares impervious surface from the NLCD to a Detailed Land Cover Dataset (DLCD) for the Town of Blacksburg, Virginia over two time periods (2005/2006 and 2011) at spatial aggregation scales (fine to coarse) and scopes (site-specific to area-extent). When comparing the total impervious surface area, the NLCD overestimated the DLCD by appreciable amounts (12-27%) for the entire town and across all specified land use zones for both time periods examined. A binary pixel-wise accuracy assessment of impervious surface revealed that the NLCD performed well for all scopes except for the single family land use zone (user accuracy <40%). The spatial aggregation of pixels to 90-m led to improved agreement between the two datasets. Using the DLCD as a reference, an empirical normalization equation was successfully applied to the NLCD to further reduce overestimation and data skewness."],"dc:description.abstractgeneral":["To address accuracy concerns of the National Land Cover Dataset (NLCD), this case study compares impervious surface conditions from the NLCD to a Detailed Land Cover Dataset (DLCD) for the Town of Blacksburg, Virginia over two time periods (2005/06 and 2011) at various spatial scales and scopes. When comparing the total impervious surface area, the NLCD overestimated the DLCD by appreciable amounts for the entire town and across all specified land use zones for both time periods examined. A comparison at the pixel level revealed the NLCD performed well for all scopes except for the single family residential land use zone. Although there was improved agreement between the datasets at coarser resolutions, data skewness was still apparent. By using the DLCD as a ground truth reference, a mathematical correction equation was applied to the NLCD to better align it with the DLCD. Reflected through this assessment, inaccuracies within the NLCD need to be further studied to assist local and regional governments to more correctly depict land cover conditions for applications such as land use planning and stormwater management."],"dc:description.degree":["Master of Science"],"dc:format.medium":["ETD"],"dc:identifier.other":["vt_gsexam:8301"],"dc:identifier.uri":["http://hdl.handle.net/10919/72869"],"dc:publisher":["Virginia Tech"],"dc:rights":["In Copyright"],"dc:rights.uri":["http://rightsstatements.org/vocab/InC/1.0/"],"dc:subject":["Land Cover","Impervious Surface","Land Use","Remotely Sensed Imagery","Stormwater"],"dc:title":["A Comparison of Imperviousness Derived from a Detailed Land Cover Dataset (DLCD) versus the National Land Cover Dataset (NLCD) at Two Time Periods"],"dc:type":["Thesis"],"thesis:degree_discipline":["Civil Engineering"],"thesis:degree_level":["masters"],"thesis:degree_name":["Master of Science"],"thesis:institution_name":["Virginia Polytechnic Institute and State University"]},"updated_at":"2026-07-22T22:20:35Z"}