Introduction to the Interagency Fuels Treatment Decision Support System

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This webinar was presented by Stacy Drury on Oct 27, 2009. For more information, visit the Alaska Fire Science Consortium website at http://akfireconsortium.uaf.edu.

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Introduction to the Interagency Fuels Treatment Decision Support System

  1. 1. Development of The Interagency Fuels Treatment Decision Support System Stacy A D St A. Drury, T i H F k S Tami H. Funk, Sean M R ff M. Raffuse Sonoma Technology, Inc. Petaluma, California , H. Michael Rauscher Joint Fire Science Program Technical Fire Management Course Bothell, Washington B th ll W hi t October 15, 2009 909029-3710
  2. 2. Overview of Presentation • • • • • Introduction and background State of the fuels treatment community Workflow scenarios W kfl i Proof of concept Vision for the future 2
  3. 3. Introduction and Background Software Tools and Systems (STS) Study Fuels Specialist Feedback on Workflow Scenarios IFT-DSS Architecture Design Document IFT-DSS Conceptual Design Document Software Engineering Institute p performed strategic analysis of g y problem space Feb Mar Apr February 2007 Initiation of Phase I of the STS Study May Jun Jul 2007 Aug Sep IFT-DSS Workflow Scenarios Document Current Practices & Needs Assessment Phase I Jan IFT-DSS Software Design Document Software Architecture Study Phase II Oct Nov Dec Jan Feb February 2008 Conclusion of Phase I of the STS Study Mar Apr May Jun Jul 2008 Aug June 2008 Initiation of Phase II of the STS Study Sep Oct Nov Phase IIIa Dec Jan Feb Mar March 2009 Conclusion of Phase II of the STS Study Apr May Jun 2009 Jul Aug Sep Oct May 2009 Initiation of Phase IIIa of the STS Study 3
  4. 4. State of the Fuels Treatment Community (1 off 4) • Fuels treatment planners are responsible for managing vegetation – Planning and the decision support process centers around modeling vegetation disturbances • Seven steps in the decision support process – – – – – – – Define project, vegetation, landscape, and scale p j , g , p , Prepare and ensure quality of vegetation data Simulate and analyze fire behavior Analyze fire effects and/or risk Design treatment strategies Simulate treated vegetation, geophysical, and fuel conditions Simulate treatment effectiveness of reducing fire behavior and fire effects potentials 4
  5. 5. State of the Fuels Treatment Community (2 off 4) Cu e t y an assortment of Currently a asso t e t o data, software so t a e applications and systems • Not all are accessible to the community • Most are problem-specific problem specific • Some are comprehensive but only support specific data and use-cases • It is difficult to “string” them together g 5
  6. 6. State of the Fuels Treatment Community (3 off 4) What does this mean for the user community? y IFT-DSS must facilitate the most difficult and time consuming tasks to ensure success ~90% Percent of Respondents o • Use what they know • Use tools that are user-friendly, simple i l • May not know that other tools exist • Limited guidance on which to use • A lot of time spent “ i i ” tools l f i “stringing” l together for specific purposes • A lot of time spent acquiring and preparing data ~20-50% ~10-20% BEHAVE FOFEM, FIREFAMILY+, FARSITE, FLAMMAP, FMA+, FVS/FFE, LANDFIRE data, ArcGIS RERAP, NEXUS, CONSUME, FRCC, SIS, FFI/Firemon, WIMS data, Google Earth 6
  7. 7. State of the Fuels Treatment Community (4 off 4) What about the existing comprehensive g p systems that “string” models together? ArcFuels, INFORMS, LANDFIRE IFP ArcFuels INFORMS LANDFIRE-IFP, Starfire = VERY USEFUL SCIENCE • Some are inaccessible • Some require “expert” knowledge • Do not address all fuels treatment use cases • User groups are small • Do not facilitate collaboration 7
  8. 8. Objectives of the Interagency Fuels Treatment Decision Support System • Simplify the fuels treatment planning decision support process – Improve the overall quality of analysis and planning – Provide new opportunities for data analysis and collaboration • Control long-term costs by streamlining and optimizing workload and scalability • Encourage scientific collaboration by providing a framework and tools that facilitate adding new software applications • Reduce agency information technology (IT) workload • Promote interagency collaboration within the fire and fuels community 8
  9. 9. Workflow Scenarios Intended to capture the problem-solving needs of the fuels treatment analysis and planning community Includes: • Data acquisition and preparation • Strategic planning • S ti ll explicit f l t t Spatially li it fuels treatment assignment t i t • Fuels treatment over time • Prescribed burn planning • Risk assessment 9
  10. 10. Data Acquisition and Preparation (1 of 2) q p Objective: Acquire, prepare, and assure the quality of vegetation data for use in fuels treatment planning. Inputs Tree-lists Gridded fuels Vegetation/ Fuels Data Types FSVeg point data FSVeg spatial user upload LANDFIRE user upload Workflow Growth QC/edit Imputation Outputs QC/edit Current, complete fuels data for further analysis 10
  11. 11. Data Acquisition and Preparation (2 of 2) q p Objective: Acquire, prepare, and assure the quality of vegetation data for use in fuels treatment planning. planning 11
  12. 12. Strategic Planning (1 of 3)) g g( Objective: Identify high fire hazard areas within an area of interest and identify where further analysis may be warranted based on potential fire hazard. High fire hazard is expressed by high potential fire behavior and/or undesirable fire effects. Inputs Current, complete fuels; topography Vegetation/ Fuels Data Types Tree-list Polygon data LANDFIRE grid data Workflow Fire Behavior QC Fire Effects Outputs Maps and data of fire behavior and fire effects 12
  13. 13. Strategic Planning (2 of 3)) g g( Objective: Identify high fire hazard areas within an area of interest and identify where further analysis may be warranted based on potential fire hazard. High fire hazard is expressed by high potential fire behavior and/or undesirable fire effects. 13
  14. 14. Strategic Planning (3 of 3)) g g( Example of strategic planning output 14
  15. 15. Spatially Explicit Fuels Treatment Assignment (1 off 3) Objective: (1) Simulate fuels treatment placement in areas of high fire hazard within an area of i t hi h fi h d ithi f interest and (2) simulate postt d i l t t treatment influences on fire behavior and fire effects potentials. Inputs Current, complete fuels; topography Vegetation/Fuels Data Types Workflow Outputs Fire Behavior/Effects/MTT User Treatment Fire Behavior/Effects/MTT Tree-list polygon data LANDFIRE Fire Behavior/Effects/MTT FVS Treatment Fire Behavior/Effects/MTT Fire Behavior/Effects/MTT Fire Behavior/Effects/MTT TOM Maps and data of treatment locations; pre- and post-treatment fire behavior and fire effects 15
  16. 16. Spatially Explicit Fuels Treatment Assignment (2 off 3) Objective: (1) Simulate fuels treatment placement in areas of high fire hazard within an area of i t hi h fi h d ithi f interest and (2) Si l t postt d Simulate t treatment influences on fire behavior and fire effects potentials. 16
  17. 17. Spatially Explicit Fuels Treatment Assignment (3 off 3) Example of fuels treatment optimization Pre-treatment P t t t Post-treatment P tt t t Simulated fireline intensity for a hypothetical landscape. Light colored areas indicate low fireline intensity potentials and dark colors represent high fireline intensity potentials (from Finney et al., 2006). 17
  18. 18. Fuels Treatment Effectiveness Over Time (1 off 3) Objective: Evaluate the temporal durability of fuels treatments; i.e., h i how l long, i years to d in decades, a treatment will continue to d ill i lower potential fire behavior and fire effects. Inputs Current, complete fuels; topography Vegetation/Fuels Workflow Data Types Tree-list polygon Growth Fire Behavior Fire Effects data Growth Fire Behavior Fire User supplied Effects Growth… data Outputs Graphs and data of fuels fire fuels, behavior, and fire effects over time 18
  19. 19. Fuels Treatment Effectiveness Over Time (2 off 3) Objective: Evaluate the temporal durability of fuels treatments; i.e., h i how l long, i years to d in decades, a treatment will continue to d ill i lower potential fire behavior and fire effects. 19
  20. 20. Fuels Treatment Effectiveness Over Time (3 off 3) Example of vegetation growth over time Post-treatment +10 years 10 + 20 years 20
  21. 21. Prescribed Burn Planning (1 of 3) g Objective: Provide the information needed to plan, document, and conduct a proposed, prescribed fi d d d ib d fire. Inputs Fuels; g range of weather conditions Vegetation/ Fuels Data Types User entered single g stand level data Processes Fire Behavior Fire Effects Outputs QC Graphs and data of fire behavior and fire effects over a range of conditions 21
  22. 22. Prescribed Burn Planning (2 of 3) g Objective: Provide the information needed to plan, document, and conduct a proposed, prescribed fi d d d ib d fire. 22
  23. 23. Prescribed Burn Planning (3 of 3) g 23
  24. 24. Risk Assessment Objective: Provide a probabilistic risk assessment for fuels treatment planning. Inputs Current, C rrent complete fuels; topography Vegetation/ Fuels Data Types Tree-list polygon data LANDFIRE data User supplied data Processes Fire Behavior Beha ior MTT Burn Probability Mode QC Outputs Maps and data for fire behavior, beha ior burn probability, and values at risk Fire risk = (burn p ( probability) × (fire hazard index) × (value at risk) y) ( ) ( ) 24
  25. 25. IFT-DSS Proof of Concept p 25
  26. 26. Vision for the Fuels Treatment Community y User communities Informa ation Techn nology & G Governance e Integrated systems g y (IFT-DSS, BlueSky, WFDSS, WFAS) Common interface standards (allows for connections) Capabilities (algorithms, models, data) Scientists and data providers create tools 26
  27. 27. Supporting Information pp g • Background and supporting information can be found on the STS Frames website at: http://frames.nbii.gov/portal/server.pt?open=512&objID=629&mode=2&in_ hi_userid 952&cached true hi userid=952&cached=true • The full document, “Refined Work Flow Scenarios and Proposed P f of Concept System Functionality f th P d Proof f C tS t F ti lit for the Interagency Fuels Treatment Decision Support System,” can be downloaded from the STS Frames website at: http://frames.nbii.gov/documents/jfsp/sts_study/ift_dss_refined_workflow_ scenarios_20090709.pdf 27

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