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Team devises technique to predict dust storms with infrared satellite

Date:
July 6, 2010
Source:
University of Pittsburgh
Summary:
Researchers have developed a method for predicting dust and sandstorms that uses infrared satellite images to determine when conditions are ripe for the destructive phenomena, a technique that could be implemented globally and that the research team used to forecast a 2008 New Mexico dust storm -- the area's largest in decades -- two days beforehand.

Researchers based at the University of Pittsburgh have developed a method for predicting dust and sandstorms that uses infrared satellite images to determine when conditions are ripe for the destructive phenomena, a technique that could be implemented globally and that the research team used to forecast a 2008 New Mexico dust storm -- the area's largest in decades -- two days beforehand.

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Thermal and visible images of New Mexico's White Sands Dune Field captured by NASA's Earth-orbiting ASTER (Advanced Spaceborne Thermal Emission and Reflectance Radiometer) instrument reliably indicated when soil moisture levels were low enough to result in a dust storm, the team recently reported in the Journal of Geophysical Research Earth Surface. Lead author Stephen Scheidt, a research associate in Pitt's Department of Geology and Planetary Science; Michael Ramsey, a Pitt associate professor of geology and planetary science and member of NASA's ASTER science team; and Nicholas Lancaster of Nevada's Desert Research Institute further determined that this approach could be expanded into a worldwide system to monitor areas prone to dust storms or to track drought in regions threatened by desertification.

The group analyzed day- and night-time images of White Sands ASTER captured between May 2000 and March 2008. Unlike microwave satellite instruments typically used to observe arid regions, ASTER can collect high-resolution data that allow small-scale surface details to be observed in various wavelengths, from visible light to thermal infrared. By studying thermal infrared images of moisture content and albedo -- or sunlight reflected by the ground -- at White Sands, the team found that the sand became drier and more reflective until it was a mass of loose sediment susceptible to strong winds.

ASTER images from the project illustrate the increase in albedo and decrease in soil moisture preceding the 2008 White Sands dust storm. The photographs are from November 2002 to March 12, 2008, two days before the sandstorm.

In the first set of pictures, the bright, white area representing albedo has expanded to an area of several kilometers by March 12, 2008. Meanwhile, the corresponding thermal image -- as shown in panel 7 of the second image set -- shows the driest area (in red) covering roughly the same area. The third image is of the March 14, 2008, dust storm taken by NASA's Moderate Resolution Imaging Spectroradiometer with the dust plume emanating from a darkened area that corresponds with the driest areas indicated by ASTER. Wind speed during the storm averaged between 10 and 15 miles per hour with gusts of more than 50 mph, Scheidt noted in the group's paper.

The researchers plan to build on their work at White Sands by observing arid and semi-arid areas with different soil characteristics, particularly albedo, which is uniquely high at White Sands. They also suggested that monitoring desert areas via ASTER can be further validated with field measurements of soil density, moisture, and composition.


Story Source:

The above story is based on materials provided by University of Pittsburgh. Note: Materials may be edited for content and length.


Journal Reference:

  1. Stephen Scheidt, Michael Ramsey, Nicholas Lancaster. Determining soil moisture and sediment availability at White Sands Dune Field, New Mexico, from apparent thermal inertia data. Journal of Geophysical Research, 2010; 115 (F2): F02019 DOI: 10.1029/2009JF001378

Cite This Page:

University of Pittsburgh. "Team devises technique to predict dust storms with infrared satellite." ScienceDaily. ScienceDaily, 6 July 2010. <www.sciencedaily.com/releases/2010/07/100706103414.htm>.
University of Pittsburgh. (2010, July 6). Team devises technique to predict dust storms with infrared satellite. ScienceDaily. Retrieved November 26, 2014 from www.sciencedaily.com/releases/2010/07/100706103414.htm
University of Pittsburgh. "Team devises technique to predict dust storms with infrared satellite." ScienceDaily. www.sciencedaily.com/releases/2010/07/100706103414.htm (accessed November 26, 2014).

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