Extended Abstract (112K)P1.38
Quantifying uncertainties in fire size and temperature measured by GOES-R ABI
Manajit Sengupta, CIRA/Colorado State Univ., Fort Collins, CO; and L. Grasso, D. W. Hillger, R. Brummer, and M. DeMaria
The nominal GOES-R Advanced Baseline Imager (ABI) pixel size at sub-satellite point has been specified to be 2 km X 2 km. Actual measurements though will contain information from neighboring pixels as a result of diffraction. Fires on the ground have temperatures much higher than neighboring regions and can be smaller than the GOES-R pixel size. Diffraction and pixel resolution will contribute to blurring the fire signature. Additionally observed fire size and temperature may vary because of the way GOES-R ABI will sample the ground especially for smaller fires. Our goal is to determine and quantify the sources of uncertainty in fire detection. Therefore we have simulated fires over Kansas at a resolution of 400 m X 400 m. Radiances are then computed for the 3.9, 10.35 and 11.2 ìm ABI channels, as these are the fire detection channels. Appropriate point spread functions for these GOES-R ABI channels are created and then used to generate ABI data. In this paper we show how the point spread functions were created for the various bands. We also investigate how the signatures of similar fires vary as a result of pixel sampling. It is expected that such efforts to estimate uncertainty will ultimately result in better characterization of fires from GOES-R ABI which will then lead to better characterization of emission.
Poster Session 1, Fifth GOES Users' Confererence Poster Session
Wednesday, 23 January 2008, 2:30 PM-4:00 PM, Exhibit Hall B
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