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Read the
magazine
story to find out more. |
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 ARS researchers have developed
a way to remotely detect the noxious invasive weed leafy spurge by measuring
visible and near-infrared light from the sun as it is reflected off vegetation,
with an advanced hyperspectral sensor carried by an airplane. Click the
image for more information about it. |
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Knowing Where to Look for Invasive Leafy
Spurge
By Don
Comis April 16, 2009
The invasive weed leafy spurge is now easier to locate, thanks to a
new detection method developed by Agricultural Research Service (ARS)
scientists and their cooperators.
ARS physical scientist
Raymond
Hunt developed and tested the method using NASA's advanced hyperspectral sensor, the
Airborne
Visible Infrared Imaging Spectrometer (AVIRIS). Hunt works at the ARS
Hydrology
and Remote Sensing Laboratory in Beltsville, Md.
Leafy spurge (Euphorbia esula L.) is a noxious invasive weed
that causes more than $200 million in losses annually in the Great Plains and
western United States. It displaces native vegetation and spreads both by seeds
and by underground rhizomes. Shoots produce a milky-white sap that is toxic to
cattle and horses. Infestations can be controlled by pesticides, goats or
Aphthona flea beetles.
Hunt and his colleagues were among the first researchers to detect
invasive weeds by using algorithms developed to detect minerals in rocks and
soil by hyperspectral remote sensing. The method works by analyzing visible and
near-infrared light from the sun, reflected off vegetation, and back to the
AVIRIS sensor aboard NASA aircraft.
They used the algorithms to detect leafy spurge during its flowering
stage, from June to July.
Different colors of light are reflected from the showy yellow-green
flowers compared to the surrounding grass and other green vegetation. When
tested against field data, the method proved to be 85 to 95 percent
accurate--much higher than other methods of remote sensing tested in the same
area.
Working with USDA's Forest
Service, Hunt is also refining the Weed Invasion Susceptibility Prediction
(WISP) model to show areas where spurge and other invasive species are likely
to grow.
When the model is ready for national use, Hunt would like to see it
published on Google Earth or some other
Internet site.
Read more
about this research in the April 2009 issue of Agricultural Research
magazine.
ARS is the principal intramural scientific research agency in the
U.S. Department of
Agriculture.