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.