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

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50 I - PRE-FIRE PLANNING AND MANAGEMENT (c) Study area location Figure 1 - Forest fire management in ibrahim watershed.
A FOREST FIRE HAZARD BASED ON THE ESTIMATION OF TOURIST HOT SPOT ACTIVITIES IN AUSTRIA N. Arndt 1 , A. Arpaci 1 , H. Gossow 1 , P. Ruiz Rodrigo 2 , H. Vacik 1 1 University of Applied Life Sciences Vienna, Austria 2 Polytechnic University of Valencia, Spain 1 - Introduction Austria is a predominantly alpine Central European Country with a size of 83.871 km 2 and a forest cover of 47,2%. The main tree species is Norway Spruce (Picea abies L. K.) with a total share of 53,7% (ÖWI, 2002). Austrian forests do not fulfil the characteristics of fire prone ecosystems, nor have they seriously been fire-impacted so far. Due to the debate on probable climate change it is hypothesized, that the risk of forest fires will increase in the coming decades (Flannigan et al., 2005). Forest fires are a result of complex interactions between ecological factors such as weather, fuel type, forest structure, topography and socio-economic factors such as population density, infrastructure and tourism activities (Chuvieco et al., 2009; Kalabokidis et al., 2002; Marchi et al., 2006). However, in Austria more than 90% of forest fires in the course of the last 50 years are a result of human interference. Therefore it is necessary to identify forest fire “hot spots” in Austria in order to develop basic information for an emergency strategy for Austrian fire brigades. In this context a forest fire hazard model will be developed combining a socio-economic risk model with drought indices and a fuel classification approach within the frame of the Austrian Forest Fire Research Initiative (AFFRI). This contribution describes a part of the fire hazard approach determining the role of tourist activities for the ignition risk of forest fires in Austria. 2 - Methodology The idea is to estimate the effect of tourist activities along touristic infrastructures on fire ignition by mapping the seasonality, frequency, type and intensity of tourism activities. The bases of our research are records of forest fires from Austrian fire brigades, statistics on tourism, namely overnight stays per district and sea- 51
Page 3 and 4: 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
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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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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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