The Geographic Information Network of Alaska (GINA) at the University of Alaska Fairbanks Geophysical Institute is collaborating with other agencies to provide near-real-time satellite data to the Bureau of Land Management's Alaska Fire Service. Armed with images taken from space, fire personnel will be able to track hot spots and fire movement, even under heavy smoke that may ground mapping aircraft. Data from Landsat 5 and MODIS satellites will be available to fire crews and other users in less than 24 hours through the GINA network.
Landsat 5 satellite data is now captured at the NOAA/NESDIS Fairbanks Command & Data Acquisition Station at Gilmore Creek, Alaska. GINA then transmits the data over high-speed networks to Sioux Falls, South Dakota, where it will be processed and archived at the USGS National Center for Earth Resources Observation Systems.
This is the fourth season MODIS satellite data will provide information to fire personnel through GINA. The entire state of Alaska can be viewed in one pass by MODIS satellites, which makes several passes each day. Due to the satellites' multiple spectral bands, GINA is able to supply users with natural color images of smoke and terrain, as well as thermal images. MODIS images and fire detection points are processed by GINA and delivered to agencies within 40 minutes of reception.
While MODIS data allows users to view the entire Alaskan landscape, Landsat 5 provides users the ability to see critical areas at a higher resolution.
"This timely data will be a useful supplement for wildfire managers. The 30-meter resolution imagery from Landsat 5 will give firefighters more precise locations and finer-grained pictures than the statewide coverage of 250-meter resolution MODIS scenes we provide them several times each day," said GINA Director and University of Alaska President's Professor of Remote Sensing Buck Sharpton.
GINA, a facility at the Geophysical Institute, was established in 2001 as the University of Alaska's mechanism for organizing and sharing diverse geospatial data and technological capabilities.
Source: Eurekalert & othersLast reviewed: By John M. Grohol, Psy.D. on 21 Feb 2009
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