Submitted to: Meeting Abstract
Publication Type: Abstract only
Publication Acceptance Date: 9/22/2004
Publication Date: 9/23/2004
Citation: Hunt, E.R. 2004. Hyperspectral remote sensing to detect flowering leafy spurge [abstract]. Monitoring Science and Technology Symposium. CDROM. Interpretive Summary:
Technical Abstract: Leafy spurge, Euphorbia esula L. is an adventive, perennial weed that infests approximately 1.2 million hectares of land in North America. One of the fundamental needs in leafy spurge management is cost-effective, large-scale, and long-term documentation and monitoring of plant populations. Leafy spurge is a good candidate for detection via remote sensing because the distinctive yellow-green color of its bracts is spectrally unique when compared to co-occurring green vegetation. During 1999, Airborne Visible / Infrared Imaging Spectrometer (AVIRIS) imagery were acquired in northeastern Wyoming and ground vegetation data were collected. Mixture Tuned Matched Filtering (MTMF), a specialized type of spectral mixture analysis, was used to estimate leafy spurge canopy cover and classify leafy spurge presence/absence. Overall accuracy of MTMF for detecting the presence of leafy spurge was 95% and estimation of leafy spurge cover for all sites had an r2 of 0.69. Using various reflectance ratios and indices, Landsat and SPOT imagery acquired at the same time had a maximum classification accuracy of 66% and a maximum r2 of 0.16. Using multispectral techniques with hyperspectral imagery had the same accuracy as the Landsat and SPOT analyses for determining leafy spurge distribution and cover. Therefore, hyperspectral imagery is powerful for detecting invasive species only if hyperspectral techniques are used.