7th Workshop on Forest Fire Management - EARSeL, European ...

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III - FIRE DETECTION AND FIRE MONITORING
Among the fire characterization parameters provided by WF-ABBA and TA,
the FRP estimates showed better sensitivity to varying fire conditions. The
interplay among sub-pixel fires, background characterization, and the sensor
characteristics (in particular the point spread function), had an important
effect on the accuracy of the estimates produced. Pixel based estimates
derived from different products remain poorly correlated and subjected
to random errors.
Using the results above, we designed a set of judicious criteria to integrate
the active fire data from MODIS Terra and Aqua and the GOES imager (see
Schroeder, 2008a) (Figure 2). The resulting product incorporates corrections
aimed to minimize errors of commission and omission to maximize the
complementarity between products.
4 - Conclusions
In this study we discuss briefly how multiple data sets of rather different
characteristics are used to advance our understanding of sub-pixel processes
governing vegetation fire activity routinely mapped by two major hemispheric-to-global
fire products. The results derived from the group of analyses
described above are being used to further develop the fire algorithms
in use, to reduce errors and to improve their performance over a broad
range of conditions.
References
Csiszar, I., Morisette, J.T. and Giglio, L., 2006. Validation of active fire
detection from moderate-resolution satellite sensors: the MODIS example
in Northern Eurasia. IEEE Trans. Geo. Rem. Sens., 44(7), 1757-1764.
Csizar, I., Schroeder, W., 2008. Short-term observations of the temporal
development of active fires from consecutive same-day ETM+ and ASTER
imagery in the Amazon: Implications for active fire product validation.
IEEE J. Sel. Topics in App. Earth Obs. and Rem. Sens., 10.1109/JSTARS.
2008.2011377.
Giglio, L., Csiszar, I., Restas, A., Morisette, J.T., Schroeder, W., Morton, D.,
Justice, C.O., 2008. Active fire detection and characterization with the
Advanced Spaceborne Thermal Emission and Reflection Radiometer
(ASTER), Rem. Sens. Environ., 2008, doi:10.1016/j.rse.2008.03.003.
Morisette, J.T., Giglio, L., Csiszar, I., Justice, C.O., 2005. Validation of the
MODIS active fire product over Southern Africa with ASTER data. Int. J.
Rem. Sens., 26(19), 4239-4264.
Schroeder, W., 2008a. Towards an integrated system for vegetation fire monitoring.
Univ. of Maryland, URL: http://hdl.handle.net/1903/8168.
Schroeder, W., Csiszar, I. and Morisette, J., 2008b. Quantifying the impact
of cloud obscuration on remote sensing of active fires in the Brazilian