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

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94 I - PRE-FIRE PLANNING AND MANAGEMENT higher the moisture, the lower the reflectance, this was expected as this region is strongly affected by water absorption, which is known to lower reflectance. These results correspond to the findings of Liu et al. (2004). Using the first derivative enhanced the spectral signal produced by FMC variation and highlighted more wavelengths that were significantly correlated with FMC. This may be due to the fact that the first derivative reduces the variability caused by changes in other factors such as soil reflectance and solar zenith angle. A range of VIs showed strong correlations with FMC, which corresponds to the findings of Chuvieco et al. (2002) and Danson and Bowyer (2004) who found a significant correlation between FMC and NDII and WI. To summarize, FMC exhibits important variations which affect the spectral reflectance measured by airborne hyperspectral instruments, particularly in the NIR and SWIR regions. Using the first derivative and specific VIs improves the correlation between hyperspectral data and FMC. This study indicates that airborne hyperspectral data may be used for FMC mapping in semi-natural upland areas. Acknowledgements - This study is funded by the Syrian government through Tishreen University, Lattakia, Syria. The authors would like to thank the Natural Environment Research Council Field Spectroscopy Facility (NERC-FSF), Alasdair Mac Arthur, Natural England, Moors for the Future, and Sheffield City Council for their support. The airborne imagery was supplied by the UK Natural Environment Research Council (NERC) Airborne Remote Sensing Facility (ARSF) (Grant Award GB08/3). References Bowyer, P. and Danson, F.M., 2004. Sensitivity of spectral reflectance to variation in live fuel moisture content at leaf and canopy level. Remote Sensing of Environment, 92, 297-308. Chuvieco, E., Riaño, D., Aguado, I. and Cocero, D., 2002. Estimation of fuel moisture content from multitemporal analysis of Landsat Thematic Mapper reflectance data: Applications in fire danger assessment. International Journal of Remote Sensing, 23, 2145–2162. Danson, F.M. and Bowyer, P., 2004. Estimating live fuel moisture content from remotely sensed reflectance. Remote Sensing of Environment, 92, 309-321. Liu, L., Wang, J., Huang, W., Zhao, C., Zhang, B. and Tong, Q., 2004. Estimating winter wheat plant water content using red edge parameters. International Journal of Remote Sensing, 25, 17 3331-3342. Zhang, Y., Chen, J.M., Miller, J.R. and Noland, T.L., 2008. Leaf chlorophyll content retrieval from airborne hyperspectral remote sensing imagery. Remote Sensing of Environment, 118, 3234-3247.
CYBERPARK PROJECT: MULTITEMPORAL SATELLITE DATA SET FOR PRE-OPERATIONAL FIRE SUSCEPTIBILITY MONITORING AND POST-FIRE RECOVERY ESTIMATION Abstract: This paper describes a system for the monitoring of natural protected areas in the Foggia Province (Apulia Region South of Italy) which was developed in the framework of the Cyberpark 2000 project (2007-2008). The project was funded by the UE Regional Operating Program of the Apulia Region (2000-2006). The system fulfills three main aims: it acts as a preventive tool by monitoring fire susceptibility, it backs up the forest fire detection using and integrated approach, and it assists in planning the recuperation of the burned areas and monitoring post-fire vegetation recovery. 1 - Introduction A. Lanorte 1 , F. De Santis 1 , R. Coluzzi 1 , T. Montesano 1 M. Monteleone 2 , R. Lasaponara 1 1 CNR-IMAA, Tito Scalo (PZ), Italy a.lanorte@imaa.cnr.it 2 Università di Foggia, Facoltà di Agraria, Italy This paper presents the knowledge-based system we developed in the context of Cyberpark 2000 project funded by the UE Regional Operating Program of the Apulia Region (2000-2006).The project aim was to support decision making for the management and monitoring of the natural protected areas located in the Foggia Province (Apulia Region). The system includes four different modules, from A to D. In this paper we will focus on modules A and D. A satellite time series of high spatial resolution data for supporting the analysis of fire static danger factors through land use mapping and spectral/quantitative characterization of vegetation fuels; B satellite time series of MODIS for supporting fire dynamic risk evaluation of study area – Integrated fire detection by using thermal imaging cameras placed on panoramic view-points; C integrated high spatial and high temporal satellite time series for supporting studies in change detection factors or anomalies in vegetation covers; D satellite time-series for monitoring: (i) post fire vegetation recovery and (ii) spatio/temporal vegetation dynamics in unburned and burned vegetation covers. 95
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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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18 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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Page 59 and 60: CLASSIFICATION OF SITE AND STAND CH
Page 61 and 62: Classification of site and stand ch
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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: 3 - Results Fuel moisture content e
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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
Page 107 and 108: Assessing critical fuel parameters
Page 109: II VALIDATION OF RS PRODUCTS FOR FI
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Page 117 and 118: RELATIONSHIPS BETWEEN COMBUSTION PR
Page 119 and 120: Relationships between combustion pr
Page 121: Relationships between combustion pr
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
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146 II - VALIDATION OF RS PRODUCTS
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148 II - VALIDATION OF RS PRODUCTS
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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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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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