JP2.8
Synthetic GOES-R imagery of fires at 3.9 µm
Louie Grasso, CIRA/Colorado State Univ., Fort Collins, CO; and M. Sengupta, R. Brummer, R. DeMaria, and D. W. Hillger
Synthetic GOES-R ABI imagery of three fire events have been produced and delivered to the GOES-R Algorithm Working Group (AWG). This data will serve as GOES-R ABI proxy data for use in fire detection algorithm testing and development. Included in this dataset are synthetic images at 3.9, 10.35, and 11.2 µm. The three fire events are an idealized event over eastern Kansas that occurred on 8 May 2003; a Central American case from 4 April 2004, and the October 2007 fires over southern California.
Our latest efforts have concentrated on producing synthetic imagery with fire hotspots. That is, fire hotspots have been added into an observational operator: Either idealized fires or satellite retrieved fires. As a result, synthetic imagery, with a 400 m footprint, has been generated at ABI 3.9, 10.35, and 11.2 µm. One consequence of the 400 m footprint size is the ability to build sub-pixel fire signatures for GOES-R ABI. This was done by building ABI pixels of appropriate size using a point spread function. Examples will be shown on a poster.
Joint Poster Session 2, GOES-R
Tuesday, 13 January 2009, 9:45 AM-11:00 AM, Hall 5
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