268 IV - BURNED LAND MAPPING, FIRE SEVERITY DETERMINATION, AND VEGETATION RECOVERY ASSESSMENT The algorithm was trained using the boreal forest sites, so it could be tuned to other vegetati<strong>on</strong> types or a general model could be tested for all of them or even new variables could be added. The total probability thresholds for burned, potentially burned and unburned pixels could be adjusted to each year instead of using the value computed for 1989. LTDR 5 km improved the results over PAL which was proven inaccurate for the boreal regi<strong>on</strong>s (Carm<strong>on</strong>a-Moreno et al., 2005; Chuvieco et al., 2008). Acknowledgments This work was supported in part by the Spanish Commissi<strong>on</strong> for Science and Technology (CICYT) under Grant CGL2007-66888-C02-02/CLI. Thank you to Emilio Chuvieco for providing the burned area record generated from LAC data. Useful comments <strong>on</strong> earlier drafts of the manuscript are acknowledged from Julia Marcia Medina. References Balshi, M.S., McGuire, A.D., Duffy, P., Flannigan, M., Kicklighter, D.W. and Melillo, J., 2009. Vulnerability of carb<strong>on</strong> storage in North American boreal forests to wildfires during the 21st century. Global Change Biology, 15 (6), 1491-1510. Barbosa, P.M., Grégoire, J.M. and Pereira, J.M.C., 1999. An algorithm for extracting burned areas from time series of AVHRR GAC data applied at a c<strong>on</strong>tinental scale. Remote Sensing of Envir<strong>on</strong>ment, 69, 253-263. Bayes, T., 1763. An essay towards solving a problem in the doctrine of chances. Philosophical Transacti<strong>on</strong>s of the Royal Society of L<strong>on</strong>d<strong>on</strong>, 53, 370-418. Carm<strong>on</strong>a-Moreno, C., Belward, A., Malingreau, J.P., Hartley, A., Garcia- Alegre, M., Ant<strong>on</strong>ovskiy, M., Buchshtaber, V. and Pivovarov, V., 2005. Characterizing inter-annual variati<strong>on</strong>s in global fire calendar using data from Earth observing satellites. Global Change Biology, 11 (9), 1537- 1555. Chuvieco, E., Englefield, P., Trishchenko, A.P. and Luo, Y., 2008. Generati<strong>on</strong> of l<strong>on</strong>g time series of burn area maps of the boreal forest from NOAA- AVHRR composite data. Remote Sensing of Envir<strong>on</strong>ment, 112 (5), 2381- 2396. French, N.H.F., Kasischke, E.S., Bourgeauchavez, L.L. and Berry, D., 1995. Mapping the Locati<strong>on</strong> of Wildfires in Alaskan Boreal <strong>Forest</strong>s Using Avhrr Imagery. Internati<strong>on</strong>al Journal of Wildland <strong>Fire</strong>, 5 (2), 55-62. Moreno Ruiz, J.A., Riaño, D., García Lázaro, J.R. and Ustin, S.L., 2009. Intercomparis<strong>on</strong> of AVHRR PAL and LTDR Versi<strong>on</strong> 2 L<strong>on</strong>g Term Datasets for Africa from 1982 to 2000 and Its Impact <strong>on</strong> Mapping Burned Area. IEEE Geoscience and Remote Sensing Letters, in press.
Burned area data time series from ltdr dataset for Canada (1981-2000) 269 Nagol, J.R., Vermote, E.F. and Prince, S.D., 2009. Effects of atmospheric variati<strong>on</strong> <strong>on</strong> AVHRR NDVI data. Remote Sensing of Envir<strong>on</strong>ment 113, 392-397. Pedelty, J., Devadiga, S., Masuoka, E., Brown, M., Pinz<strong>on</strong>, J., Tucker, C., Roy, D., Ju, J., Vermote, E., Prince, S., Nagol, J., Justice, C., Schaaf, C., Liu, J., Privette, J. and Pinheiro, A., 2007. Generating a l<strong>on</strong>g-term land data record from the AVHRR and MODIS instruments. Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007 (pp. 1021-1025): IEEE Internati<strong>on</strong>al. Pinty, B. and Verstraete, M.M., 1992. GEMI: a n<strong>on</strong>-linear index to m<strong>on</strong>itor global vegetati<strong>on</strong> from satellites. Vegetatio, 101, 15-20. Riaño, D., Moreno Ruiz, J.A., Isidoro, D. and Ustin, S.L., 2007. Spatial and temporal patterns of burned area at global scale between 1981-2000 using NOAA-NASA Pathfinder. Global Change Biology, 13 (1), 40-50.
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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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18 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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Fire and climate change in Boreal F
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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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46 I - PRE-FIRE PLANNING AND MANAGE
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48 I - PRE-FIRE PLANNING AND MANAGE
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50 I - PRE-FIRE PLANNING AND MANAGE
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52 I - PRE-FIRE PLANNING AND MANAGE
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54 I - PRE-FIRE PLANNING AND MANAGE
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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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70 I - PRE-FIRE PLANNING AND MANAGE
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72 I - PRE-FIRE PLANNING AND MANAGE
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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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88 I - PRE-FIRE PLANNING AND MANAGE
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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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112 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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122 II - VALIDATION OF RS PRODUCTS
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124 II - VALIDATION OF RS PRODUCTS
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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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134 II - VALIDATION OF RS PRODUCTS
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136 II - VALIDATION OF RS PRODUCTS
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GLOBAL MONITORING OF THE ENVIRONMEN
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Global monitoring of the environmen
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Global monitoring of the environmen
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146 II - VALIDATION OF RS PRODUCTS
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148 II - VALIDATION OF RS PRODUCTS
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DAILY MONITORING OF PRE-FIRE VEGETA
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Daily monitoring of pre-fire vegeta
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THE GLOBAL MODIS BURNED AREA PRODUC
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The global MODIS burned area produc
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III FIRE DETECTION AND FIRE MONITOR
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REAL-TIME MONITORING OF THE TRANSMI
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Real-time monitoring of the transmi
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NOAA’S OPERATIONAL FIRE AND SMOKE
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Noaa’s operational fire and smoke
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SYSTEM FOR EARLY FOREST FIRE DETECT
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3 - Result in Germany System for ea
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References System for early forest
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ADVANCING THE USE OF MULTI-RESOLUTI
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Advancing the use of multi-resoluti
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Advancing the use of multi-resoluti
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194 III - FIRE DETECTION AND FIRE M
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196 III - FIRE DETECTION AND FIRE M
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198 III - FIRE DETECTION AND FIRE M
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IV BURNED LAND MAPPING, FIRE SEVERI
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204 IV - BURNED LAND MAPPING, FIRE
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206 IV - BURNED LAND MAPPING, FIRE
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Abstract: The aim of this paper is
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Burnt area index using MODIA and AS
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4 - Conclusions Burnt area index us
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SATELLITE DERIVED MULTI-YEAR BURNED
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