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.
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Introduction to the Interagency Fuels Treatment Decision Support System
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
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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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
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. 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. 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. 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. 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
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. 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
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
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. 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
