A Methodological Study for Accuracy Assessment of GAP Land Cover Maps

dc.contributor.author Nusser, Sarah
dc.contributor.department Statistics (LAS)
dc.date 2018-02-13T19:35:27.000
dc.date.accessioned 2020-07-02T06:56:31Z
dc.date.available 2020-07-02T06:56:31Z
dc.date.embargo 2014-01-16
dc.date.issued 2001-01-01
dc.description.abstract <p>Quantifying the accuracy of a GAP land cover map involves comparing the thematic content of the digital map with corresponding thematic reference data (i.e., some form of “truth”) obtained from the field. Typically, assessment locations are selected from the target area, and reference data are gathered from field visits or photo-interpretation (Congalton 1991). Methods of selecting assessment locations vary widely from purposive sampling, in which areas are intentionally selected for observation without applying a randomization mechanism, to selecting statistical samples from the entire target area or from some portion of the target area (e.g., roadsides). Sampling units may be areas (polygons) or points on the land. To analyze assessment data, a number of accuracy measures are available to compare the reference data and land cover maps (Stehman 1997). The choice of accuracy assessment methodologies is influenced by scientific, statistical, and operational concerns.</p>
dc.description.comments <p>This article is from <em>Gap Analysis Bulletin</em> 10 (2001): 13–19.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/stat_las_pubs/10/
dc.identifier.articleid 1009
dc.identifier.contextkey 4993673
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath stat_las_pubs/10
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/90399
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/stat_las_pubs/10/2001_MethodologicalStudyAccuracy.pdf|||Fri Jan 14 18:04:17 UTC 2022
dc.title A Methodological Study for Accuracy Assessment of GAP Land Cover Maps
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication ac76ed0b-e674-4fa9-878b-f5443b580037
relation.isOrgUnitOfPublication 264904d9-9e66-4169-8e11-034e537ddbca
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