Relationships between NDVI and visual quality in cool-season turfgrass: I. Variation among species and cultivars.

dc.citation.doidoi: 10.2135/cropsci2010.12.0728en_US
dc.citation.epage2218en_US
dc.citation.issue5en_US
dc.citation.jtitleCrop Scienceen_US
dc.citation.spage2212en_US
dc.citation.volume51en_US
dc.contributor.authorBremer, Dale J.
dc.contributor.authorLee, Hyeonju
dc.contributor.authorSu, Kemin
dc.contributor.authorKelley, Steven J.
dc.contributor.authoreidbremeren_US
dc.contributor.authoreidskeeleyen_US
dc.contributor.authoreidhyeonjuen_US
dc.date.accessioned2011-10-18T16:08:16Z
dc.date.available2011-10-18T16:08:16Z
dc.date.issued2011-10-18
dc.date.published2011en_US
dc.description.abstractCanopy spectral reflectance may provide an objective means to evaluate visual quality of turfgrass, but evaluations of visual quality may be confounded by differences in reflectance among species or cultivars. In this 3-yr study near Manhattan, KS, we examined effects of species and cultivars on relationships between normalized difference vegetation index (NDVI) and visual quality ratings in Kentucky bluegrass (Poa pratensis L., ‘Apollo’), two Kentucky bluegrass × Texas bluegrass (Poa arachnifera Torr.) hybrids (‘Thermal Blue’ and ‘Reveille’), and tall fescue (Festuca arundinacea Schreb., ‘Dynasty’). A broad range of visual quality was imposed on all four grasses through deficit irrigation and NDVI was measured using broadband spectral radiometry across this range for each grass. Distinct linear regression models of visual quality were found for each grass, and models were also distinct among years in each grass. Relationships between NDVI and visual quality were stronger in the bluegrasses (r2 = 0.41 to 0.83) because they had a greater range in quality under deficit irrigation than tall fescue. The 95% confidence intervals surrounding predictions of visual quality from NDVI ranged from ± 1.25 to 2.10 (on a 1 to 9 scale). Results indicated that the requirement to develop separate models for each grass and in each year, combined with relatively wide confidence intervals, represents a practical limitation to predicting visual quality with NDVI.en_US
dc.identifier.urihttp://hdl.handle.net/2097/12418
dc.relation.urihttps://www.crops.org/publications/csen_US
dc.subjectNormalized difference vegetation indexen_US
dc.subjectTurfgrassen_US
dc.subjectTurf visual qualityen_US
dc.titleRelationships between NDVI and visual quality in cool-season turfgrass: I. Variation among species and cultivars.en_US
dc.typeArticle (author version)en_US

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