Expanding the Application of Spectral Reflectance Measurement in Turfgrass Systems

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dc.contributor.authorMcCall, David S.en
dc.contributor.committeechairBaudoin, Antonius B.en
dc.contributor.committeecochairAskew, Shawn D.en
dc.contributor.committeememberErvin, Erik H.en
dc.contributor.committeememberMartin, S. Bruceen
dc.contributor.committeememberSullivan, Dana G.en
dc.contributor.departmentPlant Pathology, Physiology, and Weed Scienceen
dc.date.accessioned2017-06-09T18:30:32Zen
dc.date.adate2016-07-05en
dc.date.available2017-06-09T18:30:32Zen
dc.date.issued2016-04-25en
dc.date.rdate2016-07-05en
dc.date.sdate2016-05-05en
dc.description.abstractLight reflectance from plants can be used as a non-invasive predictor of health and yield for many cropping systems, and has been investigated to a lesser extent with managed turfgrass systems. The frequent agronomic inputs associated with maintaining golf course grasses allow for exceptional stand quality under harsh growing conditions, but often expend resources inefficiently, leading to either stand loss or unnecessary inputs in localized areas. Turfgrass researchers have adopted some basic principles of light reflectance formerly developed for cropping systems, but field radiometric-derived narrow-band algorithms for turfgrass-specific protocols are lacking. Research was conducted to expand the feasibility of using radiometry to detect various turfgrass stressors and improve speed and geographic specificity of turfgrass management. Methods were developed to detect applied turfgrass stress from herbicide five days before visible symptoms developed under normal field growing conditions. Soil volumetric water content was successfully estimated using a water band index of creeping bentgrass canopy reflectance. The spectral reflectance of turfgrass treated with conventional synthetic pigments was characterized and found to erroneously influence plant health interpretation of common vegetation indices because of near infrared interference by such pigments. Finally, reflectance data were used to estimate root zone temperatures and root depth of creeping bentgrass systems using a gradient of wind velocities created with turf fans. Collectively, these studies provide a fundamental understanding of several turfgrass-specific reflectance algorithms and support unique opportunities to detect stresses and more efficiently allocate resources to golf course turf.en
dc.description.degreePh. D.en
dc.identifier.otheretd-05052016-154656en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-05052016-154656/en
dc.identifier.urihttp://hdl.handle.net/10919/77971en
dc.language.isoen_USen
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectradiometryen
dc.subjectreflectance mappingen
dc.subjectremote sensingen
dc.subjectcreeping bentgrassen
dc.subjectvegetation indicesen
dc.titleExpanding the Application of Spectral Reflectance Measurement in Turfgrass Systemsen
dc.typeDissertationen
dc.type.dcmitypeTexten
thesis.degree.disciplinePlant Pathology, Physiology, and Weed Scienceen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

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