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206 IV - BURNED LAND MAPPING, FIRE SEVERITY DETERMINATION, AND VEGETATION RECOVERY ASSESSMENT True positive False Positive dNBR 2,124 (100 %) 5,378,754 (100%) dNBR + Upgrade a) 2058, (96.89 %) 3,485,823 (64.8%) dNBR + Upgrade b) 2,124 (100 %) 5,314,345 (98.8%) dNBR + Upgrade c) 2,101 (98.91 %) 4,811,680 (89.46%) dNBR + Upgrade d) 2,082 (98.00 %) 4,705,166 (87.48%) dNBR + a),b),c) e d) 2,019 (95 %) 2,831,343 (52.64%) Table 1 - The performances of the upgraded dNBR method. 4 - Conclusions The dNBR method performances in the mapping and detecting burnt area have been assessed, in terms of true and false positives. The method has been found not so much suitable for the unsupervised burnt area detection and mapping in a regional context, because of the high number of false positives. An upgrade of this method based on some physical considerations has been proposed and assessed. The resulting performances show a consistent reduction of the false positives to the detriment of a slight reduction of the true positives. Reference Chuvieco, E. and Congalton, R.G., 1988. Mapping and inventory of forest fires from digital processing of TM data, Geocarto International, vol. 4, pp. 41-53 Epting, J., Verbyla, D., Sorbel, B., 2005. Evaluation of remotely sensed indices for assessing burn severity in interior Alaska using Landsat TM and ETM+, Remote Sensing of Evnvironment, vol. 96, pp. 328-339. Key, C.H. and Benson, N.C., 1999. The Normalized Burn Ratio (NBR): a Landsat TM radiometric measure of burn severity, www.nrmsc.usgs.gov/ research/ndbr.htm. Koutsias, N. and Karteris, M., 1998. Logistic regression modelling of multitemporal Thematic Mapper data for burned area mapping, International Journal of Remote Sensing, vol. 19, pp. 3499-3514. Martin, M.P., Gomez, I., Chuvieco, E., 2006. Burnt area index (baim) for burned area discrimination at regional scale using Modis data, V Int. Conf. On Forest Fire Research, Figuerira da Foz, Portugal, 27-30 nov. 2006, (D.X. Viegas Ed.). Pereira, M.C. and Setzer, A.W., 1993. Spectral characteristics of fire scars in Landsat-5 TM images of Amazonia, International Journal of Remote Sensing, vol. 14, pp. 2061-2078. Story, M., Congalton, R.G., 1986. Accuracy Assessment: A User’s Perspective,
Improvement of dNBR burnt areas detection procedure by physical considerations based on NDVI index 207 Photogrammetric Engineering and Remote sensing, Vol. 52, No. 3, March 1986, pp. 397-399. Thome K., Markham B., Barker J., Slater P., Biggar S. Radiometric calibration of Landsat. Photogrammetric engineering and remote sensing 1997, vol. 63, no7, pp. 853-858.
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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
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
Page 164 and 165: 162 III - FIRE DETECTION AND FIRE M
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
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
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256 IV - BURNED LAND MAPPING, FIRE
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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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