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184 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
Early warning system for fires in Mexico and Central America 185 meteorology 148 (2008), pp. 523-536. Walz, Y., Maier, S.W., Dech, S.W., Conrad, C., and Colditz, R.R., 2007. Classification of burn severity using Moderate Resolution Imaging Spectroradiometer (MODIS): A case study in the jarrah-marri forest of southwest Western Australia. Journal of Geophysical Research, 112, G02002. doi:10.1029/2005JG000118.
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Proceedings of the VII Internationa
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SCIENTIFIC COMMITTEE Olivier Arino
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Analysis of human-caused wildfire o
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Monitoring post-fire vegetation reg
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10 Agency, Italian National Forestr
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I PRE-FIRE PLANNING AND MANAGEMENT
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16 I - PRE-FIRE PLANNING AND MANAGE
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USING SPATIAL ANALYSIS TO CHARACTER
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Using spatial analysis to character
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Abstract: Fire is the major stand-r
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Fire and climate change in Boreal F
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PROJECTING FUTURE BURNT AREA IN THE
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Projecting future burnt area in the
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Projecting future burnt area in the
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MULTISCALE CHARACTERIZATION OF SPAT
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Multiscale characterization of spat
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Multiscale characterization of spat
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CLASSIFICATION OF SITE AND STAND CH
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Classification of site and stand ch
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Classification of site and stand ch
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FUEL MOISTURE CONTENT ESTIMATION: A
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Fuel moisture content estimation: a
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Fuel moisture content estimation: a
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FUEL MODEL MAPPING USING IKONOS IMA
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Fuel model mapping using ikonos ima
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FIRST STEPS TOWARDS A LONG TERM FOR
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First steps towards a long term for
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3 - Conclusion and further research
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FUEL MOISTURE CONTENT ESTIMATION BA
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3 - Results Fuel moisture content e
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CYBERPARK PROJECT: MULTITEMPORAL SA
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Cyberpark project: Multitemporal sa
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REMOTE SENSING-BASED MAPPING OF FUE
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Remote Sensing-based Mapping of fue
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ASSESSING CRITICAL FUEL PARAMETERS
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Assessing critical fuel parameters
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II VALIDATION OF RS PRODUCTS FOR FI
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110 II - VALIDATION OF RS PRODUCTS
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RELATIONSHIPS BETWEEN COMBUSTION PR
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Relationships between combustion pr
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Relationships between combustion pr
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OPERATIONAL USE OF REMOTE SENSING I
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Operational use of remote sensing i
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Operational use of remote sensing i
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Page 141 and 142: GLOBAL MONITORING OF THE ENVIRONMEN
Page 143 and 144: Global monitoring of the environmen
Page 145: Global monitoring of the environmen
Page 153 and 154: DAILY MONITORING OF PRE-FIRE VEGETA
Page 155 and 156: Daily monitoring of pre-fire vegeta
Page 157 and 158: THE GLOBAL MODIS BURNED AREA PRODUC
Page 159 and 160: The global MODIS burned area produc
Page 161: III FIRE DETECTION AND FIRE MONITOR
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Page 169 and 170: REAL-TIME MONITORING OF THE TRANSMI
Page 171 and 172: Real-time monitoring of the transmi
Page 173 and 174: NOAA’S OPERATIONAL FIRE AND SMOKE
Page 175 and 176: Noaa’s operational fire and smoke
Page 177 and 178: SYSTEM FOR EARLY FOREST FIRE DETECT
Page 179 and 180: 3 - Result in Germany System for ea
Page 181: References System for early forest
Page 189 and 190: ADVANCING THE USE OF MULTI-RESOLUTI
Page 191 and 192: Advancing the use of multi-resoluti
Page 193: Advancing the use of multi-resoluti
Page 203: IV BURNED LAND MAPPING, FIRE SEVERI
Page 206 and 207: 204 IV - BURNED LAND MAPPING, FIRE
Page 211 and 212: Abstract: The aim of this paper is
Page 213 and 214: Burnt area index using MODIA and AS
Page 215 and 216: 4 - Conclusions Burnt area index us
Page 217 and 218: SATELLITE DERIVED MULTI-YEAR BURNED
Page 219 and 220: Satellite derived multi-year burned
Page 221: Satellite derived multi-year burned
Page 229 and 230: MODIS REFLECTIVE AND ACTIVE FIRE DA
Page 231 and 232: 3 - Methodology and results MODIS r
Page 233: MODIS reflective and active fire da
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234 IV - BURNED LAND MAPPING, FIRE
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SOME NOTES ON SPECTRAL PROPERTIES O
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Some notes on spectral properties o
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MONITORING POST-FIRE VEGETATION REG
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Abstract: SAR data from a test site
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Backscatter properties of x- and c-
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6 - Conclusions Backscatter propert
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CORRECTION OF TOPOGRAPHIC EFFECTS I
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Correction of topographic effects i
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Correction of topographic effects i
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BURNED AREAS MAPPING BY MULTISPECTR
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Burned areas mapping by multispectr
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Burned areas mapping by multispectr
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4 - Conclusions Burned areas mappin
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Abstract: In this paper NDVI VEGETA
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Post Fire vegetation recovery estim
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Post Fire vegetation recovery estim
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292 FORTUNATO G. pag. 191 FRENCH N.
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Finito di stampare nel mese di agos
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