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

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194 III - FIRE DETECTION AND FIRE MONITORING tinguished in the fire contrasting activity: forecast, monitoring/detection, counteract/propagation prediction, damage assessment/recover. SIGRI builds upon four main axes: a. to define, make and end-to-end demonstrate a functional architecture, accounting for all types of operational scenarios of fire-related emergencies at local, regional and national level, respectively; b. to customize and implement into the system the whole set of unsupervised, fire-oriented EO techniques already consolidated at the start of final negotiations; c. to explore, test, and implement into the system if appropriate, innovative unsupervised techniques for fire detection and burn scar mapping; d. to provide the overall system with relevant, quantitative decision support functionalities, as the near-real-time straightforward modeling of fires in controlled environment under known boundary conditions. Even if many project have been funded in the last years aiming at increasing the exploitation of satellite images in the management of forest fires (AFIS, PREVIEW, FIRE-M3, SENTINEL, etc.) no one has a so ambitious objective of developing a system capable to support firefighting in real time, mostly based on information provided by satellite images. In fact, most of these applications are not devoted to the early detection or monitoring of fires, and therefore, they are not suitable to support counteracting operations and event management. In fact, the main purpose of fire-detection applications (except in very rare cases) is that of carrying out a statistical study of the events and their possible environmental impact in terms of burnt area and variation of the optical characteristics of the atmosphere due to burning products (global-scale climate change). Fires occurring in the Mediterranean area are rarely significant in terms of burning products released in the atmosphere. Nevertheless, they have a dramatic impact on the extension of vegetated areas in regions with relatively scarce vegetation and on human lives and infrastructure. This paper is devoted to introduce the SIGRI project, that is a three years lasting project funded by the Italian Space Agency (ASI). Of this “pilot project”, initiated officially on November 2008, the main objectives and characteristics will be described. 2 - SIGRI Project generalities (data, methods) The SIGRI pilot project will be developed in the mainframe of the project “Civil Protection from forest fires”, as a consequence it should take into account the institutional requirements, as: the normative aspects in forest fires matter, the distribution of responsibilities and competence of the authorities involved in the following activities: planning and management of the land, dangerousness forecast and risk assessment, prompt fire detection, monitoring and management of the fire event, damage assessment.
SIGRI - An Integrated System for Detecting, Monitoring, Characterizing Forest Fires and Assessing damage by LEO-GEO Data 195 Mission/ Sensor Product Cosmo-SkyMed IKONOS-2 QUICKBIRD GeoEye-1 KOMPSAT 2 Pleiades (when available) SPOT-4 / 5 / IRS-P6-LISS3 Landsat 5 / TM EO-1 / HYPERION or PRISMA TERRA e AQUA / MODIS Burned areas maps at very high spatial resolution • Land use maps • Vegetation indices • Burned areas map • Vegetation regeneration maps • Dynamics vulnerability maps Dynamics vulnerability maps • Hot Spot maps • Vegetation indices • Dynamics vulnerability maps MSG SEVIRI Hot Spots maps COSMO-SkyMed ERS-SAR ENVISAT/ASAR SAOCOM/SIASGE (when available) Burned areas maps Dynamics vulnerability maps Table 1 - List of satellite sensors possibly used (or of interest) and the products expected by the SIGRI project. The principal user (reference user) of such a system would be the Italian Dept. of the Civil Protection (DPC). Therefore, the demonstrative system implemented during SIGRI will be structured in a way to be easily interfaced to the DPC infrastructures network and functional centers. Nevertheless, the system would be able to product information useful for supporting different user types having the role of responding, operationally, to the forest fire management according with the guideline and operational addresses indicated by DPC. The system should provide products based on the use of EO data useful for being applied for managing the forest fire risk, for detecting fires, and mapping burned areas. Products Specifications will respond to user requirements from Italian DPC.
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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
Page 145: Global monitoring of the environmen
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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 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
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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 and 216: 4 - Conclusions Burnt area index us
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
Page 245 and 246: 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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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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