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dc.contributor.authorRotz, J. D.
dc.contributor.authorAbaye, A. O.
dc.contributor.authorWynne, R. H.
dc.contributor.authorRayburn, E. B.
dc.contributor.authorScaglia, G.
dc.contributor.authorPhillips, R. D.
dc.date.accessioned2020-09-05T07:11:30Z
dc.date.available2020-09-05T07:11:30Z
dc.date.issued2008-03-01
dc.identifier.citationRotz, J. D., Abaye, A. O., Wynne, R. H., Rayburn, E. B., Scaglia, G., & Phillips, R. D. (2008). Classification of digital photography for measuring productive ground cover. Rangeland Ecology & Management, 61(2), 245-248.
dc.identifier.issn0022-409X
dc.identifier.doi10.2111/07-011.1
dc.identifier.urihttp://hdl.handle.net/10150/642948
dc.description.abstractProductive ground cover (PGC) is often used as a measure of sward health and persistence. To measure PGC, a camera stand was constructed to provide diffuse lighting of grass swards for color digital photography; the photographs were classified into productive and nonproductive cover using Mahalanobis distance. The PGC measurement techniques were tested on a grazing experiment that used four forage types: Lakota prairie grass (Bromus catharticus Vahl.), Kentucky 31 endophyte (Neotyphodium coenophialum)-free tall fescue (Lolium arundinaceum [Schreb.] S. J. Darbyshire), Kentucky 31 endophyte- infected tall fescue, and Quantum (novel-endophyte) tall fescue. The accuracy of the PGC maps was assessed using a stratified subsample of 48 images, 12 from each of four productive cover classes (0%-39%, 40%-59%, 60%-79%, and 80%-100%). On each of these 48 images 100 random points were labeled by a single skilled interpreter. The PGC percentages thus derived had an 83.7% agreement with the PGC maps. However, the percentages derived from the PGC maps were not well correlated with the PGC percentages derived from either ocular estimation (r = 0.22) or a simple digital point quadrat method (r = 0.47). This experiment highlights the potential for semiautomated classification of ground-based digital photographs for estimating PGC, though further research (including more direct comparison with established field techniques) is warranted. 
dc.language.isoen
dc.publisherSociety for Range Management
dc.relation.urlhttps://rangelands.org/
dc.rightsCopyright © Society for Range Management.
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectcamera stand
dc.subjectdigital aerial photography
dc.subjectimage classification
dc.subjectgrazing
dc.subjectpastures
dc.subjectprairie grass
dc.subjecttall fescue
dc.titleClassification of Digital Photography for Measuring Productive Ground Cover
dc.typetext
dc.typeArticle
dc.identifier.journalRangeland Ecology & Management
dc.description.collectioninformationThe Rangeland Ecology & Management archives are made available by the Society for Range Management and the University of Arizona Libraries. Contact lbry-journals@email.arizona.edu for further information.
dc.eprint.versionFinal published version
dc.description.admin-noteMigrated from OJS platform August 2020
dc.source.volume61
dc.source.issue2
dc.source.beginpage245-248
refterms.dateFOA2020-09-05T07:11:30Z


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