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

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240 IV - BURNED LAND MAPPING, FIRE SEVERITY DETERMINATION, AND VEGETATION RECOVERY ASSESSMENT Figure 1 - Monthly NDVI anomalies of the centroids of identified clusters, respectively associated to burnt pixels (black circles) and non burnt pixels (grey circles) for 2003 (left panel) and 2005 (right panel). Figure 2 - Annual burned areas in Continental Portugal as identified by means of cluster analysis respecting to the fire season of 2003 (right panel) and 2005(right panel). Red boxes represent the selected burnt scars.
Assessment of post fire vegetation recovering in Portugal 241 May 2003 May 2004 NDVI Difference May 2003 May 2004 NDVI Difference 0.3 0.4 0.5 0.6 0.7 0 0.5 Figure 3 - Temporal evolution of the spatial distribution of NDVI and relative differences between the two considered months for the selected burnt scars of the 2003 fire season. May 2005 May 2005 NDVI Difference May 2005 May 2005 NDVI Difference 0.3 0.4 0.5 0.6 0.7 0 0.5 Figure 4 - As in Figure 3, but respecting to the fire season of 2005.
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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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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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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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162 III - FIRE DETECTION AND FIRE M
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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
Page 191 and 192: Advancing the use of multi-resoluti
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Page 203: IV BURNED LAND MAPPING, FIRE SEVERI
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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
Page 245 and 246: SOME NOTES ON SPECTRAL PROPERTIES O
Page 247 and 248: Some notes on spectral properties o
Page 249 and 250: MONITORING POST-FIRE VEGETATION REG
Page 251 and 252: Monitoring post-fire vegetation reg
Page 253: Monitoring post-fire vegetation reg
Page 261 and 262: Abstract: SAR data from a test site
Page 263 and 264: Backscatter properties of x- and c-
Page 265: 6 - Conclusions Backscatter propert
Page 273 and 274: CORRECTION OF TOPOGRAPHIC EFFECTS I
Page 275 and 276: Correction of topographic effects i
Page 277 and 278: Correction of topographic effects i
Page 279 and 280: BURNED AREAS MAPPING BY MULTISPECTR
Page 281 and 282: Burned areas mapping by multispectr
Page 283 and 284: Burned areas mapping by multispectr
Page 285 and 286: 4 - Conclusions Burned areas mappin
Page 287 and 288: Abstract: In this paper NDVI VEGETA
Page 289 and 290: Post Fire vegetation recovery estim
Page 291: 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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