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

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178 III - FIRE DETECTION AND FIRE MONITORING The data in Figure 2 show that 2005 was characterized by a number of fires smaller than the average for the period 1975-1996, but Figure 3 reveals how the damaged area has suffered a decrease in greater proportion than the number of fires. The latter, however, is comparable to the Italian statistics, as well as between number of fires on forest land to which the data is a factor of 10 if we have approximately 10,000,000 ha in Italy, data from the German Ministry is cover approximately 1,000,000 hectares and the number of fires varies in proportion, then the German and Italian statistics are comparable. The number of fires is not a controllable variable, which depends on a multitude of factors; Firewatch is a powerful tool for what concerns the reduction of area damaged, as it allows prompt intervention of a few minutes after the beginning of the occurrence a possible development of fire. 4 - Conclusions The results of Figure 3 were obtained with 130 installations over an area of 1,100,000 ha in the region of Brandenburg. This territory is characterized, in addition to the interface areas on the outskirts of town, by a multitude of small houses in the surrounding woods, whose presence necessarily creates danger. The variety and complexity of the Italian territory, where there are interface areas and 22.2% of the area in a forest falls in SIC and ZPS, makes it all more relevant the importance of a systematic approach to the problem. Emblematic is the case of fires in Quiliano and Alassio in Liguria, which have grown in 01/01/2007 and where the lack of early warning from a man and a particularly critical of wind, caused that after three hours from the beginning of a fire the smoke reached Capo Corso and Elba. If we optimistically in the same reduction that has been in the data of Figure 3, in 2007 we had a tenth of hectares burned, which is approximately 11,600 ha, thus below the minimum annual values recorded from 1990 to 2007 in Italy. Actually in Italy the system is under assessment in the National Park of Abruzzo, Lazio and Molise (see photo) and it will be used also in California (see photo: CEBIT 2009).
References System for early forest fire detection: firewatch 179 Berna, T., Manassero, F., 2008. Sistema di rilevamento incendi boschivi. Congresso Nazionale di Selvicoltura, Taormina. Das Lebensministerium, 2005. Waldzustandsbericht 2005. Freistaat Sachsen, Staatministerium fur Umwelt und Landwirtschaft. Domenichini, P., et al., 2005. Manuale per l’operatore antincendio boschivo. Regione Liguria, Dipartimento Agricoltura e Protezione civile, Genova. Land Brandenburg, 2007. Titelthema: Waldbrand 2007. Ministerium fur Landliche Entwicklung, Umwelt und Verbraucherschutz. Milazzo, A., 2008. Gli incendi boschivi 2008, Corpo Forestale dello Stato, 2008.
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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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Page 129 and 130: OPERATIONAL USE OF REMOTE SENSING I
Page 131 and 132: 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
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: 3 - Result in Germany System for ea
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
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3 - Methodology and results MODIS r
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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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