Date of Award

2019

Publisher

North Dakota State University

Document Type

Master's Paper

Degree Awarded

Master of Science (MS)

Program

Natural Resources Management

Department

School of Natural Resource Sciences

College

Agriculture, Food Systems and Natural Resources

Faculty Advisor

Bajwa, Sreekala G.

Description

Leafy 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.

Rights

NDSU policy 190.6.2

Rights Link

https://www.ndsu.edu/fileadmin/policy/190.pdf

Handle Identifier

https://hdl.handle.net/10365/29724

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