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

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54 I - PRE-FIRE PLANNING AND MANAGEMENT 3 - Results The districts around the big Austrian cities do not show a fire risk because of tourism. The reason for that is that forest fires are absent within the district boundaries of the cities. Exceptions are the districts of the towns of Villach with eight forest fires, Wiener Neustadt and Krems with 3 forest fire, Waidhofen an der Ybbs with 2 forest fires and Salzburg and Sankt Pölten with 1 forest fire. Touristic activities are found to influence fire risk in the provinces of Tyrol, Carinthia, Salzburg and Styria in all four scenarios significantly. In those provinces the highest density of touristic infrastructure as well as the highest number of overnight stays is found. Being popular tourist destinations with an ideal site development makes those provinces susceptible to a higher fire risk. Compared to the influence of tourism in the mountainous regions of Austria the influence of tourism on fire risk turns out to be fairly marginal in Vorarlberg, Upper Austria, Burgenland and Lower Austria. Even though the number of overnight stays is quite elevated in some parts of those provinces, tourism does not play a significant role for fire ignition, since the degree of site development with touristic infrastructure is relatively low compared to the mountainous regions of Austria. In spite of this the results of the districts of Wiener Neustadt and Neunkirchen in Lower Austria stand out notably. Here the influence of tourism on fire risk is relatively high. Additionally the importance of the area as a local recreation area for Wiener Neustadt and Baden increases fire risk remarkably in those two districts. 4 - Conclusions In regions with a high density of touristic infrastructure fire risk is influenced by touristic activities to a great extent. Areas in the direct vicinity of cities did not proof to be susceptible to fire risk caused by tourism at all. Regions with a medium or low density of touristic infrastructure had a comparatively low fire risk connected to tourism. However the influence of touristic activities cannot be excluded completely. Another important factor needing further investigation in this context is the influence of local recreation on fire risk. References Chuvieco, E.; Aguado, I.; Yebra, M.; Nieto, H.; Salas, J.; Pilar Martín; Vilar, L.; Martínez, J.; Martín, S.; Ibarra, P.; de la Riva, J.; Baeza, J.; Rodríguez, F.; Molina, J.R.; Herrera, M.A.; Zamora, R.: Development of a framework for fire risk assessment using remote sensing and geographic
A forest fire hazard based on the estimation of tourist hot spot activities in Austria 55 information system technologies, in: Ecological Modelling (2009); in press Flannigan, M.D.; Logan, K.A.; Amiro, B.D.; Skinner, W.R.; Stocks, B.J.: Future area burned in Canada, in: Climatic Change 72, 1 - 16 (2005) Kalabokidis, K.D., Konstantinidis, P., Vasilakos, C.: GIS analysis of physical and human impact on wildfire patterns, in: Forest fire research and wildland fire safety, IV International Conference on Forest Fire Research, Portugal, 2002 (Viegas, D.X. (ed.)) Marchi, E.; Tesi, E.; Brachetti Montorselli, N.; Bonora, L.; Checcacci, E.; Romano, M.: Forest fire prevention: developing an operational difficulty index in firefighting, in: V International Conference on forest fire research 2006 (Viegas, D.X., ed.)) Österreichische Waldinventur 2002 (Austrian Forest Inventory 2002): http://web.bfw.ac.at/i7/oewi.oewi0002
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Proceedings of the VII Internationa
Page 5: SCIENTIFIC COMMITTEE Olivier Arino
Page 8 and 9: Analysis of human-caused wildfire o
Page 10 and 11: Monitoring post-fire vegetation reg
Page 12 and 13: 10 Agency, Italian National Forestr
Page 15: I PRE-FIRE PLANNING AND MANAGEMENT
Page 18 and 19: 16 I - PRE-FIRE PLANNING AND MANAGE
Page 23 and 24: USING SPATIAL ANALYSIS TO CHARACTER
Page 25 and 26: Using spatial analysis to character
Page 27 and 28: Abstract: Fire is the major stand-r
Page 29 and 30: Fire and climate change in Boreal F
Page 35 and 36: PROJECTING FUTURE BURNT AREA IN THE
Page 37 and 38: Projecting future burnt area in the
Page 39 and 40: Projecting future burnt area in the
Page 41 and 42: MULTISCALE CHARACTERIZATION OF SPAT
Page 43 and 44: Multiscale characterization of spat
Page 45: Multiscale characterization of spat
Page 59 and 60: CLASSIFICATION OF SITE AND STAND CH
Page 61 and 62: Classification of site and stand ch
Page 63 and 64: Classification of site and stand ch
Page 65 and 66: FUEL MOISTURE CONTENT ESTIMATION: A
Page 67 and 68: Fuel moisture content estimation: a
Page 69: Fuel moisture content estimation: a
Page 77 and 78: FUEL MODEL MAPPING USING IKONOS IMA
Page 79 and 80: Fuel model mapping using ikonos ima
Page 81 and 82: FIRST STEPS TOWARDS A LONG TERM FOR
Page 83 and 84: First steps towards a long term for
Page 85: 3 - Conclusion and further research
Page 93 and 94: FUEL MOISTURE CONTENT ESTIMATION BA
Page 95 and 96: 3 - Results Fuel moisture content e
Page 97 and 98: CYBERPARK PROJECT: MULTITEMPORAL SA
Page 99 and 100: Cyberpark project: Multitemporal sa
Page 101 and 102: REMOTE SENSING-BASED MAPPING OF FUE
Page 103 and 104: Remote Sensing-based Mapping of fue
Page 105 and 106: 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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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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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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Monitoring post-fire vegetation reg
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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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