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

More documents

Recommendations

Info

214 IV - BURNED LAND MAPPING, FIRE SEVERITY DETERMINATION, AND VEGETATION RECOVERY ASSESSMENT Stroppiana, D., Tansey, K., Gregoire, J.M., Pereira, J.M.C., 2003. An algorithm for mapping burnt areas in Australia using SPOT-VEGETATION data. Geoscience and Remote Sensing, IEEE Transactions on Volume 41, Issue 4, April 2003 Page(s): 907-909. Vapmik, V., 1995. The nature of statistical learning theory. New York, NY: Springer-Verlag.
SATELLITE DERIVED MULTI-YEAR BURNED AREA PERIMETERS WITHIN THE NATIONAL PARKS OF ITALY P.A. Brivio 1 , B. Petrucci 2 , M. Boschetti 1 , P. Carrara 1 , M. Pepe 1 , A. Rampini 1 , D. Stroppiana 1 & P. Zaffaroni 1 1 CNR-IREA, Institute for Electromagnetic Sensing of the Environment, Milan, Italy, brivio.pa@irea.cnr.it; boschetti.m; carrara.p; pepe.m; rampini.a; stroppiana.d; zaffaroni.p 2 Ministero dell’Ambiente, Direzione Protezione Natura, Roma, Italy, petrucci.bruno@minambiente.it Abstract: Vegetation fires play a key role in land cover and land use change and satellite data are a unique source of information for fire monitoring. In Italy, fires severely affect forest resources and monitoring and mapping have been recognized as key activities for the prevision, the prevention and for fighting against fires. We present burned area maps derived mainly from ASTER satellite images over the National Parks for the period 2001 to 2005. They are available through an Inspire compliant Web Map Service (WMS) at the CNR-IREA geo-portal and the the “Portale Cartografico Nazionale” of the Italian Ministry of the Environment. 1 - Introduction Land cover and land use dynamics are object of interest due to their key role in the global carbon cycle and their impacts on climate change. In this context fire is probably the most important factor driving land cover changes that occurs in almost all the ecosystems around the World (Thonicke et al., 2001). Mediterranean countries in Europe, among which Italy, are particularly affected by vegetation fires during the summer season when the weather is hot and dry; yet most of them do not have a geographic database of fire events and only recently remote sensing technology has been explored for integrating traditional field monitoring (Paganini et al., 2003; Piccoli and Cattoi, 2007). We present the outcome of a project funded by the Italian Ministry of the Environment, Direzione Protezione Natura, that aimed at producing a geo database of the burned perimeters in the Italian National Parks for the period 2001-2005 from satellite images. 215
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 20 and 21:
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:
Page 33 and 34:
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 48 and 49:
Page 50 and 51:
Page 52 and 53:
Page 54 and 55:
Page 56 and 57:
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 72 and 73:
Page 74 and 75:
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 88 and 89:
Page 90 and 91:
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
Page 107 and 108:
Assessing critical fuel parameters
Page 109:
II VALIDATION OF RS PRODUCTS FOR FI
Page 112 and 113:
110 II - VALIDATION OF RS PRODUCTS
Page 114 and 115:
Page 117 and 118:
RELATIONSHIPS BETWEEN COMBUSTION PR
Page 119 and 120:
Relationships between combustion pr
Page 121:
Relationships between combustion pr
Page 124 and 125:
Page 126 and 127:
Page 129 and 130:
OPERATIONAL USE OF REMOTE SENSING I
Page 131 and 132:
Operational use of remote sensing i
Page 133:
Operational use of remote sensing i
Page 136 and 137:
Page 138 and 139:
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
Page 148 and 149:
Page 150 and 151:
Page 153 and 154:
DAILY MONITORING OF PRE-FIRE VEGETA
Page 155 and 156:
Daily monitoring of pre-fire vegeta
Page 157 and 158:
THE GLOBAL MODIS BURNED AREA PRODUC
Page 159 and 160:
The global MODIS burned area produc
Page 161:
III FIRE DETECTION AND FIRE MONITOR
Page 164 and 165:
162 III - FIRE DETECTION AND FIRE M
Page 166 and 167: 164 III - FIRE DETECTION AND FIRE M
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
Page 191 and 192: Advancing the use of multi-resoluti
Page 193: Advancing the use of multi-resoluti
Page 203: IV BURNED LAND MAPPING, FIRE SEVERI
Page 206 and 207: 204 IV - BURNED LAND MAPPING, FIRE
Page 211 and 212: Abstract: The aim of this paper is
Page 213 and 214: Burnt area index using MODIA and AS
Page 215: 4 - Conclusions Burnt area index us
Page 219 and 220: Satellite derived multi-year burned
Page 221: Satellite derived multi-year burned
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
Page 245 and 246: SOME NOTES ON SPECTRAL PROPERTIES O
Page 247 and 248: Some notes on spectral properties o
Page 249 and 250: MONITORING POST-FIRE VEGETATION REG
Page 251 and 252: Monitoring post-fire vegetation reg
Page 253: Monitoring post-fire vegetation reg
Page 261 and 262: Abstract: SAR data from a test site
Page 263 and 264: Backscatter properties of x- and c-
Page 265: 6 - Conclusions Backscatter propert
Page 268 and 269:
266 IV - BURNED LAND MAPPING, FIRE
Page 270 and 271:
268 IV - BURNED LAND MAPPING, FIRE
Page 273 and 274:
CORRECTION OF TOPOGRAPHIC EFFECTS I
Page 275 and 276:
Correction of topographic effects i
Page 277 and 278:
Correction of topographic effects i
Page 279 and 280:
BURNED AREAS MAPPING BY MULTISPECTR
Page 281 and 282:
Burned areas mapping by multispectr
Page 283 and 284:
Burned areas mapping by multispectr
Page 285 and 286:
4 - Conclusions Burned areas mappin
Page 287 and 288:
Abstract: In this paper NDVI VEGETA
Page 289 and 290:
Post Fire vegetation recovery estim
Page 291:
Post Fire vegetation recovery estim
Page 294 and 295:
292 FORTUNATO G. pag. 191 FRENCH N.
Page 296:
Finito di stampare nel mese di agos
show all

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

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?