Survey Methods for Assessing Land Cover Map Accuracy

dc.contributor.author Nusser, Sarah
dc.contributor.author Nusser, Sarah
dc.contributor.author Klaas, Erwin
dc.contributor.department Statistics
dc.date 2018-02-16T21:33:30.000
dc.date.accessioned 2020-07-02T06:55:50Z
dc.date.available 2020-07-02T06:55:50Z
dc.date.issued 2002-09-01
dc.description.abstract <p>The increasing availability of digital photographic materials has fueled efforts by agencies and organizations to generate land cover maps for states, regions, and the US as a whole. Regardless of the information sources and classification methods used, land cover maps are subject to numerous sources of error. In order to understand the quality of the information contained in these maps, it is desirable to generate statistically valid estimates of accuracy rates describing misclassification errors. We explored a full sample survey framework for creating accuracy assessment study designs that balance statistical and operational considerations in relation to study objectives for a regional assessment of GAP land cover maps. We focused not only on appropriate sample designs and estimation approaches, but on aspects of the data collection process, such as gaining cooperation of land owners and using pixel clusters as an observation unit. The approach was tested in a pilot study to assess the accuracy of Iowa GAP land cover maps. A stratified two-stage cluster sampling design addressed sample size requirements for land covers and the need for geographic spread while minimizing operational effort. Recruitment methods used for private land owners yielded high response rates, minimizing a source of nonresponse error. Collecting data for a 9-pixel cluster centered on the sampled pixel was simple to implement, and provided better information on rarer vegetation classes as well as substantial gains in precision relative to observing data at a single-pixel.</p>
dc.description.comments <p>This preprint was published as Sarah Nusser and Erwin Klaas, "Survey Methods for Assessing Land Cover Map Accuracy", <em>Environmental and Ecological Statistics</em> (2003): 309-331, doi: <a href="http://dx.doi.org/10.1023/A:1025107023980" target="_blank">10.1023/A:1025107023980</a>.</p>
dc.identifier archive/lib.dr.iastate.edu/stat_las_preprints/109/
dc.identifier.articleid 1096
dc.identifier.contextkey 7443690
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath stat_las_preprints/109
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/90267
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/stat_las_preprints/109/2002_NusserS_SurveyMethodsAssessing.pdf|||Fri Jan 14 18:30:24 UTC 2022
dc.subject.disciplines Statistics and Probability
dc.subject.keywords environmental surveys
dc.subject.keywords GAP
dc.subject.keywords survey sampling
dc.title Survey Methods for Assessing Land Cover Map Accuracy
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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