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

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198 III - FIRE DETECTION AND FIRE MONITORING 3.2 - Burn Scar mapping in SIGRI The most effective, passive remote-sensing methods for detecting and mapping burn scars in vegetated areas, rely upon the observation of nearinfrared (NIR) and short-wavelength infrared (SWIR) bands, with wavelengths comprised between 0.8 and 2.3 µm. A method to separate reflectance variation due to vegetation damages from changes due to other factors influencing the at-satellite reflectance, is that of identifying pseudo-invariant features to be used as reference targets in different scenes. Such invariants behave as Permanent Reflectors (PRs) ideally in three or more infrared bands, and allow (a) improving the robustness of the code developed and fine tuned from 2002, nicknamed MYME2. The research activities, in this case, aim at improving the already available algorithm for detecting burned areas by exploiting temporal series of radar images (phase and amplitude). In particular, the possibility to obtain maps compliant with the requirements of the Italian rules, by testing different techniques, will be assessed 3.3 - Fire risk maps Regarding the development of a daily map of fire risk/vulnerability index, among the indices already developed/proposed (FPI, FWI, etc.) worldwide the one under consideration should be characterized by the fact that it has to be based, at least partially, on satellite images. As consequence such an index would be based on the FPI (Fire Probability Index) recognized as an index able to identify those areas at risk of fire. The addition of further information like the presence of infrastructure, or areas of relevant importance will lead to define a fire vulnerability index. Based on: an ameliorate description of the vegetation type (fuel type), by using hyperspectral and radar images, and a satellite based estimate of the vegetation water content an improvement of the forecast based on the fire probability index would be obtained 4 - Conclusions The present paper aims at presenting the objectives and expected products of the three-years-long pilot project called SIGRI, recently funded by Italian Space Agency. This project represents one of the 7 initiatives funded by ASI intended to enhance the utilization of satellite images for planning, managing and contrasting natural or anthropic hazardous events like wild fires, landslides, floods, sea and air pollution. A description of the project has been presented. Results of the research activity and of the operational application of the system will be presented in the next future, as they will be obtained.
SIGRI - An Integrated System for Detecting, Monitoring, Characterizing Forest Fires and Assessing damage by LEO-GEO Data 199 References Di Bartola C., Hirn B.R., Ferrucci, F., 2005. MYME2: a multi-payload integrated procedure for the automated, high-resolution remote sensing of Burn Scars. IEEE-IGARSS 2005, Geoscience and Remote Sensing Symposium, Seoul (S. Korea) 25-29 July 2005, paper no. 20238 Gambardella, A., Ferrucci, F., Marzoli M., 2002. Il satellite e la legge-quadro in materia di incendi boschivi. Antincendio; 16, 35-39. Hirn, B.R., Ferrucci, F., 2008. Southern Italy Burn Scar Mapping by MYME2 Procedure using IRS-P6 LISS3. IEEE-IGARSS 2008, Geoscience and Remote Sensing Symposium, Boston (MA), 7-11 July 2008; 4, 746-749 Hirn, B.R., Di Bartola C., Ferrucci F., 2007. Improvement and validation of MODIS performance in automated detection and extent estimate of wildfires. IEEE-IGARSS 2007, Geoscience and Remote Sensing Symposium, Barcelona (Spain) 23-28 July 2007, 3004-3007 Laneve, G., Castronuovo, M.M., Cadau, E.G., 2006a. Continuous Monitoring of Forest Fires in the Mediterranean Area Using MSG. IEEE TGRS 44(10): 2761-2768. Laneve, G., Cadau, E.G., 2006b. Assessment of the fire detection limit using SEVIRI/MSG sensor, Geoscience and Remote Sensing Symposium, IGARSS06, 4157-4160.
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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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Page 153 and 154: DAILY MONITORING OF PRE-FIRE VEGETA
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Page 159 and 160: The global MODIS burned area produc
Page 161: III FIRE DETECTION AND FIRE MONITOR
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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
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Page 213 and 214: Burnt area index using MODIA and AS
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Page 217 and 218: SATELLITE DERIVED MULTI-YEAR BURNED
Page 219 and 220: Satellite derived multi-year burned
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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
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Page 247 and 248: Some notes on spectral properties o
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254 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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