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

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32 I - PRE-FIRE PLANNING AND MANAGEMENT Wotton B.M., Martell D.L., Logan K.A., 2003. Climate Change and People- Caused Forest Fire Occurrence in Ontario. Climatic Change 60, 275-295. Wotton B.M., Martell D.L., 2005. A lightning fire occurrence model for Ontario. Canadian Journal of Forest Research 35, 1389-1401. doi: 10.1139/X05-071.
PROJECTING FUTURE BURNT AREA IN THE EU-MEDITERRANEAN COUNTRIES UNDER IPCC SRES A2/B2 CLIMATE CHANGE SCENARIOS Abstract: The goal of this work is to use the results of statistical modelling of historical (1985-2004) monthly burnt areas in European Mediterranean countries, as a function of monthly weather data and derived fire danger indexes, and to analyse potential trends under present and future climate conditions. Meteorological variables were extracted from the ECMWF, and the FWI system components were computed from 1961 until 2004. Monthly averages of the indexes were used as explanatory variables in a stepwise multiple linear regression analysis, to estimate the monthly burnt areas in each of the five most affected Mediterranean countries of Europe. Significant regression equations and satisfactory coefficient of determinations were found, although with remarkable differences among countries. Two IPCC SRES climate change scenarios (A2/B2) were simulated using the the regional climate model HIRHAM. The multiple regression models were than applied to the A2/B2 scenarios results to predict the potential burnt areas in each country. The models pointed out tangible changes in the potential burnt area extent for the future scenarios compared to the actual conditions. 1 - Introduction G. Amatulli, A. Camia & J. San-Miguel Joint Research Centre of the European Commission, Institute for Environment and Sustainability, Ispra (VA), Italy giuseppe.amatulli@jrc.it Forest fires have become a main environmental issue in most part of the world ecosystems. This phenomenon has direct consequences not only at the local scale, but also at the global one, representing a responsible factor for many phenomena such as climate change and global warming. The impact of climate change and extreme weather events on forest fires have received increased attention in the last few years. It is widely recognized that weather conditions play a key role in revealing extreme fire potential. It is therefore of great interest to analyse projected changes in fire risk under climate change scenarios. To date, several studies have appeared that made an assessment of forest fire risk trends under climate change scenar- 33
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 31 and 32: Fire and climate change in Boreal F
Page 33: Fire and climate change in Boreal F
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
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86 I - PRE-FIRE PLANNING AND MANAGE
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88 I - PRE-FIRE PLANNING AND MANAGE
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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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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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