Geospatially knowing the fire

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Transcript of Geospatially knowing the fire

  • 1. knowing theenemygeospatiallyNEAR-REALTIME WILDFIRESIMULATIONS TO SUPPORT Dr Joaquin RamirezDTSWildfire Tecnosylva

2. Jacques Descloitres, MODIS Rapid Response System at NASA/GSFC http://youtu.be/eET7jwJOOqA 3. 750 mfire season160.000 ha lost480 mlosses 4. MODIS SENSOR IMAGERYTERRA SATELLITE28/06/2012 11:35 5. MODIS SENSOR IMAGERYTERRA SATELLITE29/06/2012 12:05FIRE: CORTS DE PALLARSBURNT AREA:11.770ha 6. MODIS SENSOR IMAGERY TERRA SATELLITE30/06/2012 11:10 FIRE: CORTS DE PALLARSBURNT AREA: 24.012ha (+9.143) FIRE: ANDILLABURNT AREA:5.371 ha 7. 11 km diameterfire ball 8. http://www.nifc.gov/fireInfo/fireInfo_ statistics.html1200000030000010000000250000 8000000200000 firesacres burnt 6000000150000 4000000100000 200000050000Fires0 0Acres19601964 19661968 1970 19741976 197819801984 19861988 1990 19941996 199820002004 20062008 2010 19621972 19821992 2002 9. Where do we goFire scenarios from 2010 to 2070 (ATSR Fire Atlas based)Krawchuk MA, Moritz MA, Parisien M-A, Van Dorn J, Hayhoe K, 2009. Global Pyrogeography: the Current and Future Distribution of Wildfire. PLoSONE 4(4): e5102. doi:10.1371/journal.pone.0005102 Climate projections include 20102039 (A,), 20402069 (B) and 20702099 (C). 10. Fire ParadoxThe better weare fightingfires, the biggerthose we 11. If you knowyourself and yourenemy, you canwin a hundredbattles without 12. FB: A YOUNGSCIENCEHarry T. Gisborne Jack S. BarrowDirector of theMissoula FireFirst true Labspecialist in forest The Mann Gulch 13. topographyhttp://goo.gl/amuxP 14. weatherextrehttp://goo.gl/WkiKO 15. fuelsoverstohttp://goo.gl/WkiKO 16. = extremebehavior fires 17. The science and artof Firegoing to be inWhere is itSimthe next hours? When can we expect to stop it? What is the risk to this 18. Models are out thereModels completed in period 1990-200712 Physical7 quasi-physical15 empirical5 quasi-empirical11 simulation22 mathematical analogous Andrew L. Sullivan Wildland surface fire spread modelling, 19902007International Journal of Wildland FireVolume 18 Number 4 2009 . 19. We need to takesims from the labLANL Coupled Fire/Atmosphere Modeling, FIRETEChttp://ees.lanl.gov/ees16/FIRETEC.shtml 20. to the operation personnel 21. to the IncidentCommand Post 22. to support safer operations 23. Users expect relevant information 24. Ignition points fromfire department fireCADs progressio n 25. Immediate resultswhere the fire willfirearrive in the nextfew hours progression 26. risk on vulnerableassets (homes, evacuatiopower lines, )n time 27. Allowspreparedness evacuatioplanning forevacuationpurposesn time 28. www.wildfireanalyst.comOn scene inmediate analys 29. FASTiStock_000000525414 30. INTUITIVE mylesdgrant/5434978427 31. POWERFUL toptechwriter/338573258 32. Users expect easy. 33. WILDFIREMAPS.COM BURNENGINE 34. hoyvinmayvin/516609595 35. BURNE ENGINE RESULTS 36. www.wildfiremaps.comOn scene inmediate analys 37. Whitewater-BaldyComplex ha100.000 Kristen AllisonBLM FBAN Type 38. NEWMEXICO 550 km 39. simulating from IR 40. simulating from IRimagery 41. La Jonquera13.000 ha / 4 hrs rc CastellonouAnalyst Chiefonian FirefightersStrategic analysis in 20 min 42. accurate information fodecission makingWind 43. accurate information fodecission making 44. 60 % resources reallobased on the simulatio 45. Office: +1 905.727.8352 Office: +34 987.849.486Mobile: +1 970.213.4635 Mobile: +34 696.922.909 46. More Information www.DTSwildfire.com www.fiRESPONSE.com www.WildfireMaps.com www.WildfireAnalyst.com 47. It pays to knowthe enemy 48. not least because atsome time you mayhave the opportunityto