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

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III - FIRE DETECTION AND FIRE MONITORING
This methodology has been assessed in other studies (Ressl et al., 2009)
where showing the MODIS burnt area identification has yielded a conservative
estimate, i.e. pixels identified as burnt area have likely been burnt in
reality. The quantitative comparison between ASTER and MODIS burnt area
considering the proportional spatial coverage has clearly indicated the
scale issues of burnt area mapping. However, if more than 80% of the
MODIS pixel is covered by burnt area derived from ASTER, the pixel is likely
to be detected by the MODIS burnt area algorithm presented above. In
contrast to most other burnt area detection techniques, this simpler algorithm
solely operates on daily datasets without contextual or time series
analysis. Therefore, the approach for burnt area mapping presented in this
study has the clear advantage of a rapid assessment. Further information
about the system is available at: (http://www.conabio.gob.mx/conocimiento/puntos_calor/doctos/
puntos_calor.html).
References
Chuvieco, E., Allgöwer, B., Salas, F.J., 2003. Integration of physical and
human factors in fire danger assessment. In: Chuvieco, E. (Ed.), Wildland
Fire Danger Estimation and Mapping: The Role of Remote Sensing Data.
World Scientific Publishing, Singapore, pp. 197-218.
CONAFOR, 2009. Reporte semanal de incendios forestales 2009 - Datos acumulados
del 01 de Enero al 04 de Junio de 2009. http://www. conafor.
gob.mx/portal/docs/subsecciones/incendios_forestales/reporte_semanal.pdf
de Badts, E., López, G., Wickel, B., Cruz, I., and Jiménez, R., 2005. A fire
risk propagation map based on NDVI anomalies. In de la Riva, J., Pérez-
Cabello, F. & Chuvieco, E., (Eds.), Proceedings of the 5th Internacional
workshop on remote sensing and GIS applications to forest fire management:
Fire effects assessment, Universidad de Zaragoza (pp. 113-
118).
Ressl R., López G., Cruz I., Colditz R.R., Schmidt M., Ressl S., Jimenez R.
Operational active fire mapping and burnt area identification applicable
to Mexican Nature Protection Areas using MODIS and NOAA-AVHRR direct
readout data. Remote Sensing of Environment 113 (2009), pp. 1113-
1126
Trowbridge, R., Feller, M.C., 1988. Relationships between the moisture content
of fine woody fuels in lodgepole pine slash and the fine fuel moisture
code of the canadian forest fire weather index system. Can. J. Forest
Res. 18, 128-131.
Viegas, D.X., Viegas, T.P., Ferreira, A.D., 1992. Moisture content of fine forest
fuels and fire occurrence in central Portugal. Int. J. Wildland Fire 2
(2), 69-85.
Yebra M., Chuvieco E., Riaño D., 2008. Estimation of live fuel moisture content
from MODIS images for fire risk assessment. Agricultural and forest