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Global Wildland Fire Forecasting Using Space Technologies Brian R. Shiro NOAA Pacific Tsunami Warning Center   Axelle Cart...
Global Effects of Fires <ul><li>Smoke crosses national borders, adversely affecting human health and security.  </li></ul>...
FLAMA Mission Statement accessible global information framework “ Our mission is to design an adaptable,   that enables re...
Information & Forecasting Needs <ul><li>Information </li></ul><ul><ul><li>Cooperative sharing of data </li></ul></ul><ul><...
Input Parameters Weather Fuel Topography Scientific Parameters Health Services Population Maps City Maps Response Capabili...
Use of Space Resources <ul><li>FLAMA relies heavily upon Earth observation satellites in order to obtain its input paramet...
FLAMA System Design INPUT Airborne Ground Segment Space Segment Open Service Public Service Commercial Service DISSEMINATI...
Output Products <ul><li>Single Parameter Maps </li></ul><ul><ul><li>temperature, soil moisture </li></ul></ul><ul><li>Fire...
Fire Risk Assessment Example Vulnerability High Medium Low No risk Water Water Very Far Far Near Flat Slope Steep Probabil...
Products and Services Availability of Data Security Limitations Registration on Website Registration on Website Limitation...
FLAMA Funding Sources Private Customers   Ecotourism – insurance and timber industries Public Customers   National disaste...
UN Involvement with Wildland Fires <ul><li>FAO (Food & Agriculture Organization) </li></ul><ul><li>OCHA (Office for the Co...
Relevant Global Conventions <ul><li>CBD (Convention on Biological Diversity) </li></ul><ul><li>UNCCD (Convention to Combat...
FLAMA Institutional Structure (1) <ul><li>UN agencies alone cannot meet all of the needs to promote sustainable fire manag...
FLAMA Institutional Structure (2) <ul><li>FLAMA is proposed as a not-for-profit NGO </li></ul><ul><li>An Advantageous Stru...
FLAMA Innovations & Advantages <ul><li>“ One-stop shop” </li></ul><ul><li>Activity monitoring </li></ul><ul><li>User Feedb...
Looking Forward <ul><li>All phases of forest fires </li></ul><ul><li>Distributed information network </li></ul><ul><li>Oth...
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Global Wildland Fire Forecasting Using Space Technologies

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presentation to the United Nations Committee on the Peaceful Uses of Outer Space (COPUOS) in Vienna, Austria on 23 February 2006

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Global Wildland Fire Forecasting Using Space Technologies

  1. 1. Global Wildland Fire Forecasting Using Space Technologies Brian R. Shiro NOAA Pacific Tsunami Warning Center Axelle Cartier-Guitz Leiden University / Campus The Hague 23 February 2006 UN COPUOS STSC Vienna, Austria
  2. 2. Global Effects of Fires <ul><li>Smoke crosses national borders, adversely affecting human health and security. </li></ul><ul><li>Fires produce about 25% of the world’s total greenhouse gas emissions. </li></ul><ul><li>Secondary disasters: </li></ul><ul><ul><li>e.g., desertification, floods, biodiversity loss </li></ul></ul>Global Fire Map 31 Jan - 9 Feb 2006 NASA MODIS Rapid Response System
  3. 3. FLAMA Mission Statement accessible global information framework “ Our mission is to design an adaptable, that enables regional wildfire forecasting. ”
  4. 4. Information & Forecasting Needs <ul><li>Information </li></ul><ul><ul><li>Cooperative sharing of data </li></ul></ul><ul><ul><li>Standardized data formats </li></ul></ul><ul><ul><li>Centralized access </li></ul></ul><ul><ul><li>Transparency and security </li></ul></ul><ul><li>Forecasting </li></ul><ul><ul><li>Fusion of scientific + social data </li></ul></ul><ul><ul><li>Timely maps </li></ul></ul><ul><ul><li>Validation of existing models </li></ul></ul><ul><ul><li>Improved forecasting models </li></ul></ul>
  5. 5. Input Parameters Weather Fuel Topography Scientific Parameters Health Services Population Maps City Maps Response Capability Parameters Activity Monitoring Prescribed Burning Economic Activity Camping Tourism
  6. 6. Use of Space Resources <ul><li>FLAMA relies heavily upon Earth observation satellites in order to obtain its input parameters. </li></ul><ul><li>Visible, Infrared, Multispectral, Microwave SAR </li></ul><ul><li>Polar low Earth orbit: high spatial resolution </li></ul><ul><ul><li>AVHRR, MODIS, ASTER, TRMM VIRS, ERS ATSR, ERS SAR, ENVISAT AATSR, ENVISAT MERIS, SPOT VGT, LANDSAT TM, LANDSAT ETM+, BIRD, RADARSAT </li></ul></ul><ul><li>Geostationary orbit: high temporal resolution </li></ul><ul><ul><li>GOES imager, MSG SEVIRI, MTSAT-IR JAMI </li></ul></ul>
  7. 7. FLAMA System Design INPUT Airborne Ground Segment Space Segment Open Service Public Service Commercial Service DISSEMINATION PROCESS F L A M A D A T A B A N K Acquisition Acquisition of Data Standardization Integration Activity Monitoring Tool Vulnerability Model Fire Forecasting Model Modeling Fire Probability Map Vulnerability Map Single Parameter Map Output Fire Risk Assessment Raw Data Live Fire Monitoring Comparison Quality Improvement New Systems & Parameters Product Improvement User Satisfaction INPUT Airborne Ground Segment Space Segment PROCESS F L A M A D A T A B A S E Acquisition Data Acquisition Standardization Integration Activity Monitoring Tool Vulnerability Model Fire Forecasting Model Modeling Fire Probability Map Vulnerability Map Single Parameter Map Output Fire Risk Assessment Raw Data Open Service Public Service Commercial Service DISSEMINATION
  8. 8. Output Products <ul><li>Single Parameter Maps </li></ul><ul><ul><li>temperature, soil moisture </li></ul></ul><ul><li>Fire Probability Maps </li></ul><ul><li>Fire Vulnerability Maps </li></ul><ul><li>Additional Products </li></ul><ul><ul><li>monitoring of CO 2 emissions, biomass burning, volcanic eruptions, land cover evolution </li></ul></ul>
  9. 9. Fire Risk Assessment Example Vulnerability High Medium Low No risk Water Water Very Far Far Near Flat Slope Steep Probability High Medium Low Water Past Fire
  10. 10. Products and Services Availability of Data Security Limitations Registration on Website Registration on Website Limitation Fee Free or At Cost Free via Internet Cost Upon Request Highest Resolution High Resolution Low Resolution General Information Product Private Entities Tourism Industry Insurance Companies Governments Public Institutions Research Institutes Individuals Users Commercial Service Public Service Open Service
  11. 11. FLAMA Funding Sources Private Customers Ecotourism – insurance and timber industries Public Customers National disaster mitigation program funds <ul><li>Grants - Loans </li></ul><ul><li>World Bank or other Development Banks loans. </li></ul><ul><li>United Nations ISDR funds </li></ul><ul><li>DIPECHO (European Commission) funds </li></ul><ul><li>World Bank BioCarbon funds </li></ul>$ $ $
  12. 12. UN Involvement with Wildland Fires <ul><li>FAO (Food & Agriculture Organization) </li></ul><ul><li>OCHA (Office for the Coordination of Humanitarian Affairs) </li></ul><ul><li>UNEP (United Nations Environment Programme) </li></ul><ul><li>WHO (World Health Organization) </li></ul><ul><li>WMO (World Meteorological Organization) </li></ul><ul><li>GOFC-GOLD (Global Observation of Forest Cover - Global Observation of Landcover Dynamics) </li></ul><ul><li>ISDR (International Strategy for Disaster Reduction) </li></ul><ul><ul><li>Wildland Fire Advisory Group (established 2001) </li></ul></ul>
  13. 13. Relevant Global Conventions <ul><li>CBD (Convention on Biological Diversity) </li></ul><ul><li>UNCCD (Convention to Combat Desertification) </li></ul><ul><li>UNFCC (Framework Convention on Climate Change) </li></ul><ul><li>International Charter on Space and Major Disasters </li></ul><ul><li>The Wildland Fire Advisory Group as part of the UN-ISDR has drafted a Framework for the Development of the International Wildland Fire Accord. </li></ul>
  14. 14. FLAMA Institutional Structure (1) <ul><li>UN agencies alone cannot meet all of the needs to promote sustainable fire management: international community </li></ul><ul><li>Support from governments and NGOs is crucial </li></ul><ul><li>“ International Wildland Fire Accord”: legal implications and consensus </li></ul><ul><li>Proposed three-phased approach towards a legally binding instrument </li></ul>
  15. 15. FLAMA Institutional Structure (2) <ul><li>FLAMA is proposed as a not-for-profit NGO </li></ul><ul><li>An Advantageous Structure: </li></ul><ul><ul><li>Financial advantages </li></ul></ul><ul><ul><li>Ease of establishment </li></ul></ul><ul><ul><li>Possibilities of Membership/Observer status within Earth Observation entities (such as GEOSS) & UN Agencies (FAO, WMO, ICAO, ITU, etc.) and joining Global Wildland Fire Alliance </li></ul></ul><ul><li>FLAMA is a “new approach” for cooperation at all levels (FAO Min. Meeting, Rome March 2005) </li></ul><ul><li>Paves the way for the long-term approach </li></ul>
  16. 16. FLAMA Innovations & Advantages <ul><li>“ One-stop shop” </li></ul><ul><li>Activity monitoring </li></ul><ul><li>User Feedback </li></ul><ul><li>Global scope with local sensitivity </li></ul><ul><li>Integrated approach to information assimilation, creation, dissemination </li></ul><ul><li>Decision support tool </li></ul><ul><li>Low cost </li></ul>
  17. 17. Looking Forward <ul><li>All phases of forest fires </li></ul><ul><li>Distributed information network </li></ul><ul><li>Other natural disasters </li></ul><ul><li>International cooperation </li></ul>
  18. 18. Thank You

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