Detection of Flowering Leafy Spurge With Satellite Multispectral Imagery
Issue Date
2006-09-01Keywords
Euphorbia esula L.invasive species
Landsat 7 ETM+
SPOT
hyperspectral imagery
AVIRIS
vegetation indices
SAIL canopy model
spectral libraries
Metadata
Show full item recordCitation
Hunt, E. R., & Parker Williams, A. E. (2006). Detection of flowering leafy spurge with satellite multispectral imagery. Rangeland Ecology & Management, 59(5), 494-499.Publisher
Society for Range ManagementJournal
Rangeland Ecology & ManagementAdditional Links
https://rangelands.org/Abstract
The distribution and abundance of flowering leafy spurge (Euphorbia esula L.) can be determined with hyperspectral remote sensing, but the availability of hyperspectral sensors is limited. Hence, the Landsat 7 Enhanced Thematic Mapper Plus (ETM+) and System Pour d’Observation de la Terre (SPOT) 4 imagery were acquired to test the ability of these sensors to detect leafy spurge. The green:red band ratio was the vegetation index with the highest correlations to flowering leafy spurge cover, but the correlations were weak and not useful for predictions. With Airborne Visible Infrared Imaging Spectrometer (AVIRIS) data, the green:red band ratio was also weakly correlated to flowering leafy spurge cover, although the output from a hyperspectral unmixing algorithm was highly correlated with cover using the same data, indicating simple indices have limited power for detecting leafy spurge. Canopy reflectance modeling using the Scattering by Arbitrarily Inclined Leaves (SAIL) model suggests the weak correlations were caused by variations in leaf area index. It is important to develop spectral libraries in order to use canopy reflectance simulation models that can reduce the time and effort of remote sensing analysis for detecting leafy spurge and other invasive weeds.Type
textArticle
Language
enISSN
0022-409Xae974a485f413a2113503eed53cd6c53
10.2111/05-216R.1