5th GOES Users' Conference


Proxy ABI datasets relevant for fire detection that are derived from MODIS data

Scott S. Lindstrom, CIMSS/Univ. of Wisconsin, Madison, WI; and C. C. Schmidt, E. M. Prins, J. Hoffman, J. Brunner, and T. J. Schmit

Proxy Advanced Baseline Imager (ABI) data relevant for fire detection are computed using MODIS data from channels 1, 2, 21, 22, 31 and 32 (0.65, 0.86, 3.99, 3.97, 11 and 12 micrometers). Simulated data are produced for three fire case studies in three unique fire domains subject to different satellite angles. The three case studies represent wildfire activity in southern California, agricultural management fires in central America and deforestation/agricultural management in western Brazil.

ABI data at 2-km resolution (at the sub-satellite point, assumed to be 0 N, 75 W) are computed using full-resolution MODIS data and a point spread function (PSF) that approximates the PSF anticipated for the ABI sensors. ABI data so computed from satellite data are physically consistent and thus have inherent advantages over proxy ABI data that can be derived from numerical model output. Although these data are computed for the ABI channels relevant for fire detection, the procedure is straightforward and can be applied to any MODIS channel that has a match in the ABI sensor.

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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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