Parcel Data in Wildland Fire Management

Transcription

1 Parcel Data in Wildland Fire Management Kevin Hyde (METI*) for USDA Forest Service RMRS Forestry Sciences Lab, Missoula, MT Modified from FGDC Cadastral Subcommittee: Denver 6 Dec 2006 kdhyde@fs.fed.us *Management and Engineering Technologies, El Paso TX

2 Parcel Data in Wildland Fire Management This presentation does not reflect official policy of the USDA Forest F Service RMRS Forestry Sciences Lab, Missoula, MT The author is entirely accountable for any errors or omissions. Revised 12 Feb 2007

3 Esperanza Fire 2006 Daniel Hoover-Najera

4 Life Safety Property Costs How do we assure firefighters are placed in the right places for the right reasons? How do we do the right thing for our lands? Some fire is beneficial How do we contain suppression costs? 2006 Season $ 1.5 billion Manage with Risk Assessment Value of resources protected Risk = Threat * Value change Best available information to managers Rapidly

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6 RAVAR Rapid Assessment of Values at Risk Threat + Values RAVAR FSPro Fire Data RAVAR Map Base Map GIS Structures RAVAR Narrative Other Assets

7 FSPro Fire Spread Probability Map RMRS Fire Sciences Lab Missoula Fire spread Vegetation Topography Weather Projection 5 30 days simulations Probability of fire spread

8 Occupied Structures from Parcel Data Parcel GIS with improved values Create centroid Building cluster layer Summarize cluster count by Spread Probability Zone

9 Parcel Data Attributes Necessary Improved values Useful Attributes Land Use Timber, agriculture Structure type Where no parcel data USGS structure extraction Point layer County tax records Google Earth FEMA home replacement cost x Census data

10 Other Asset Layers Incident command Current perimeters IR data MODIS active fire points USGS FireData Site Multiple base layers DTRA ICWater Water supply Pipelines HAZMAT Other Landmarks Army Corps of Engineers National Inventory of Dams US Fish and Wildlife Service Critical habitat Local data Counties Local land managers

11 FSPro:RAVAR Implementation Notification of ignition with Large Fire potential Fire Sciences builds FSPro projection maps Compile VAR layers Intersect FSPro with VAR Create Map and Summary Report Deliver within 24 hours or LESS!

12 2005 Tarkio Fire MT RAVAR DEMO

13 RAVAR 2006 Business Need & Feasibility

14 2006 Case for Business Need & Feasibility

15 2006 Case for Business Need & Feasibility

16 RAVAR Rapid Assessment of Values at Risk

17 Summary of 2006 Season Over 40 incidents, 8 states Parcel data available few exceptions Met or exceed on time delivery in most cases Errors occurred where parcel data hard to get and during multiple fires

18 Challenges Lessons Learned Data pre staging is essential especially parcel USGS structures from points were adequate No values attributes Can we get parcel data before fire?

19 Beyond Emergency Response: Parcel Data in Other Wildfire Management Fuel Reduction & Forest Restoration Burned Area Emergency Response (BAER) Post fire Erosion and Flood Hazard

20 Beyond Emergency Response: Parcel Data in Ecosystem Management Research Perspective Comprehensive Ecosystem Management Fuel Reduction Incident Command Post fire Response Parcel Data Decision Support and Data Continuum Where can wildland fire be tolerated? Where is wildland fire ecologically necessary? Beneficial fire use Decriminalizing fire Better coordination of planning jurisdiction blind?

21 Plan for 2007 Wildfire Season National fire leadership wants it Gear up for 200+ large fires Use RAVAR strategically before large fires occur Compile working parcel inventory Western US Collect what is available List Emergency Only Can t t share USGS Not available USGS We need your help, please NA Prestaged ER No Only Anticipated distribution

22 Prioritization of parcel data? Do you feel lucky? We need to get firefighters in the right place for the right reasons!