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

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274 IV - BURNED LAND MAPPING, FIRE SEVERITY DETERMINATION, AND VEGETATION RECOVERY ASSESSMENT Figure 2 - Topographically uncorrected (a and d), c-corrected (b and e) and modified c-correction (c and f) dNBR optimality maps and histograms.
Correction of topographic effects influencing the differenced normalized burn ratio’s optimality for estimating fire severity 275 Figure 3 - Mean topographically uncorrected, c-corrected and modified c-correction dNBR optimality score by aspect class (a), average illumination class (b). In comparison with topographically uncorrected data, both topographic correction techniques increased the optimality of badly illuminated areas but the modified c-correction method ameliorated more than the original c-correction technique. For well illuminated areas, however, dNBR optimality dropped after c-correction while the modified c-correction realized slightly better optimality scores than uncorrected data (see figure 3). 4 - Conclusions Based on the spectral index theory, the effect of illumination on the dNBR optimality for assessing fire severity using pre- (2006) and post-fire (2007) Landsat TM imagery was evaluated for the 2007 Peloponnese wildfires. To improve the performance of the index, the c-correction method and a modified version of this technique were applied to derive terrain corrected reflectance. The resulting mean dNBR optimality scores of topographically uncorrected, c-corrected and modified c-correction data were respectively 0.57, 0.59 and 0.66. The modified c-correction method resulted in a more
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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
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Advancing the use of multi-resoluti
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Advancing the use of multi-resoluti
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IV BURNED LAND MAPPING, FIRE SEVERI
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204 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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Satellite derived multi-year burned
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Satellite derived multi-year burned
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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
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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
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Page 279 and 280: BURNED AREAS MAPPING BY MULTISPECTR
Page 281 and 282: Burned areas mapping by multispectr
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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
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Page 294 and 295: 292 FORTUNATO G. pag. 191 FRENCH N.
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