Multispectral Imaging Techniques for Monitoring Vegetative Growth and Health

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dc.contributor.authorWeekley, Jonathan Gardneren
dc.contributor.committeecochairWicks, Alfred L.en
dc.contributor.committeecochairReinholtz, Charles F.en
dc.contributor.committeememberNowak, Jerzyen
dc.contributor.committeememberMeehan, Kathleenen
dc.contributor.departmentMechanical Engineeringen
dc.date.accessioned2014-03-14T20:48:03Zen
dc.date.adate2009-01-12en
dc.date.available2014-03-14T20:48:03Zen
dc.date.issued2007-12-04en
dc.date.rdate2009-01-12en
dc.date.sdate2008-11-17en
dc.description.abstractElectromagnetic radiation reflectance increases dramatically around 700 nm for vegetation. This increase in reflectance is known as the vegetation red edge. The NDVI (Normalized Difference Vegetation index) is an imaging technique for quantifying red edge contrast for the identification of vegetation. This imaging technique relies on reflectance values for radiation with wavelength equal to 680 nm and 830 nm. The imaging systems required to obtain this precise reflectance data are commonly space-based; limiting the use of this technique due to satellite availability and cost. This thesis presents a robust and inexpensive new terrestrial-based method for identifying the vegetation red edge. This new technique does not rely on precise wavelengths or narrow wavelength bands and instead applies the NDVI to the visible and NIR (near infrared) spectrums in toto. The measurement of vegetation fluorescence has also been explored, as it is indirectly related to the efficiency of photochemistry and heat dissipation and provides a relative method for determining vegetation health. The imaging methods presented in this thesis represent a unique solution for the real time monitoring of vegetation growth and senesces and the determination of qualitative vegetation health. A single, inexpensive system capable of field and greenhouse deployment has been developed. This system allows for the early detection of variations in plant growth and status, which will aid production of high quality horticultural crops.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-11172008-144208en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-11172008-144208/en
dc.identifier.urihttp://hdl.handle.net/10919/35738en
dc.publisherVirginia Techen
dc.relation.haspartJGWeekleyETD.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectMultispectral Imagingen
dc.subjectHyperspectral Imagingen
dc.subjectComputer Visionen
dc.subjectNDVIen
dc.titleMultispectral Imaging Techniques for Monitoring Vegetative Growth and Healthen
dc.typeThesisen
thesis.degree.disciplineMechanical Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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