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dc.contributor.authorHooge Hom, Kathryn Marie
dc.description.abstractLeafy spurge and purple loosestrife are noxious weeds that displace native vegetation. Herbicides are often applied to these weeds during flowering, making it ideal to identify them early in the season. This paper evaluates the spectral separability of the inflorescences and leaves of these plants from surrounding vegetation. Spectral data of leafy spurge, purple loosestrife, and surrounding vegetation were collected from sites in southeastern North Dakota. Partial least squares discriminant analysis (PLS-DA) was used to separate the spectral signatures of these weeds in the visible and near infrared wavelengths. Using PLS-DA the weeds were discriminated from their surroundings with R2 values of 0.86 to 0.92. Analysis of the data indicated that the bands contributing the most to each model were in the red and red edge spectral regions. Identifying these weeds by the leaves allows them to be identified earlier in the season, allowing more time to plan herbicide application.en_US
dc.publisherNorth Dakota State Universityen_US
dc.rightsNDSU policy 190.6.2
dc.titleDiscrimination of Leafy Spurge (Euphorbia esula L.) and Purple Loosestrife (Lythrum salicaria L.) Based on Field Spectral Dataen_US
dc.typeMaster's Paperen_US
dc.date.accessioned2019-05-08T22:19:12Z
dc.date.available2019-05-08T22:19:12Z
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/10365/29724
dc.subject.lcshLeafy spurge -- Identification.
dc.subject.lcshLeafy spurge -- Control.
dc.subject.lcshPurple loosestrife -- Identification.
dc.subject.lcshPurple loosestrife -- Control.
dc.subject.lcshSpectral reflectance.
dc.subject.lcshRemote sensing.
dc.rights.urihttps://www.ndsu.edu/fileadmin/policy/190.pdf
ndsu.degreeMaster of Science (MS)en_US
ndsu.collegeAgriculture, Food Systems and Natural Resourcesen_US
ndsu.departmentSchool of Natural Resource Sciencesen_US
ndsu.programNatural Resources Managementen_US
ndsu.advisorBajwa, Sreekala G.


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