Transcript An Intelligent Information System for Forest Management

An Intelligent Information
System for Forest Management
NED/FVS Integration
Northeastern Research Station
Southern Research Station
The University of Georgia
Artificial Intelligence Center
Credits
USDA Forest Service
H. M. Rauscher
M. J. Twery,
S. Thomasma,
P. Knopp
University of Georgia
J. Wang
W. D. Potter
D. Nute
F. Maier
Northeastern Research Station
Southern Research Station
The University of Georgia
Artificial Intelligence Center
Presentation Overview
•
•
•
•
•
Introduce NED
NED Decision Process
NED Software Architecture
NED/FVS Integration
Future Directions
Northeastern Research Station
Southern Research Station
The University of Georgia
Artificial Intelligence Center
NED: a set of tools for
Natural Resource Decision Support
• NED is
a set of Decision-Support Tools
designed to provide analysis for integrated
prescriptions
for managing forests for multiple values
up to a landscape scale.
Northeastern Research Station
Southern Research Station
The University of Georgia
Artificial Intelligence Center
The NED Decision Process
1.
2.
3.
4.
5.
6.
7.
Create the goals & measurement criteria
Inventory & current condition analysis
Design alternative courses of action
Forecast the future through simulation
Assign values to the measurement criteria
Evaluate how well goals have been met
If not satisfactory, go back to step 1
Northeastern Research Station
Southern Research Station
The University of Georgia
Artificial Intelligence Center
Northeastern Research Station
Southern Research Station
The University of Georgia
Artificial Intelligence Center
The NED Decision Process
1.
2.
3.
4.
5.
6.
7.
Create the goals & measurement criteria
Inventory & current condition analysis
Design alternative courses of action
Forecast the future through simulation
Assign values to the measurement criteria
Evaluate how well goals have been met
If not satisfactory, go back to step 1
Northeastern Research Station
Southern Research Station
The University of Georgia
Artificial Intelligence Center
14
1
9
32
26
18
33
2
23
28
26
19
15
31
24
4
19
18
22
3
17
10
5
27
8
26
24
24
22
16
6
18
28
7
13
7
24
21
35
12
20
34
11
12
34
7
25
30
Map Legend
7
29
24
N
Pond
Open
W
E
Housesites
Foodplots
S
Pasture
7
Xmastrees
Secondary Paved Road
Woods Roads
Stands
0.7
0
0.7
1.4 Miles
Inventory
•
•
•
•
•
•
Management Unit
Stands
Plots
Overstory Observations
Understory Observations
Ground Observations
Northeastern Research Station
Southern Research Station
The University of Georgia
Artificial Intelligence Center
The NED Decision Process
1.
2.
3.
4.
5.
6.
7.
Create the goals & measurement criteria
Inventory & current condition analysis
Design alternative courses of action
Forecast the future through simulation
Assign values to the measurement criteria
Evaluate how well goals have been met
If not satisfactory, go back to step 1
Northeastern Research Station
Southern Research Station
The University of Georgia
Artificial Intelligence Center
Map Legend
Pond
Pine
Hardwood
Field/Open
Christmas Tree
Housesite
Pasture
Park-Like Hardwood
Large Pine
Pine-Hardwood
The NED Decision Process
1.
2.
3.
4.
5.
6.
7.
Create the goals & measurement criteria
Inventory & current condition analysis
Design alternative courses of action
Forecast the future through simulation
Assign values to the measurement criteria
Evaluate how well goals have been met
If not satisfactory, go back to step 1
Northeastern Research Station
Southern Research Station
The University of Georgia
Artificial Intelligence Center
The NED Decision Process
1.
2.
3.
4.
5.
6.
7.
Create the goals & measurement criteria
Inventory & current condition analysis
Design alternative courses of action
Forecast the future through simulation
Assign values to the measurement criteria
Evaluate how well goals have been met
If not satisfactory, go back to step 1
Northeastern Research Station
Southern Research Station
The University of Georgia
Artificial Intelligence Center
Northeastern Research Station
Southern Research Station
The University of Georgia
Artificial Intelligence Center
The NED Decision Process
1.
2.
3.
4.
5.
6.
7.
Create the goals & measurement criteria
Inventory & current condition analysis
Design alternative courses of action
Forecast the future through simulation
Assign values to the measurement criteria
Evaluate how well goals have been met
If not satisfactory, go back to step 1
Northeastern Research Station
Southern Research Station
The University of Georgia
Artificial Intelligence Center
The NED Decision Process
1.
2.
3.
4.
5.
6.
7.
Create the goals & measurement criteria
Inventory & current condition analysis
Design alternative courses of action
Forecast the future through simulation
Assign values to the measurement criteria
Evaluate how well goals have been met
If not satisfactory, go back to step 1
Northeastern Research Station
Southern Research Station
The University of Georgia
Artificial Intelligence Center
NED Software Architecture
Intelligent Information System for decision
support, featuring the unification of:
• Knowledge Base
• Database
• Model Base
Northeastern Research Station
Southern Research Station
The University of Georgia
Artificial Intelligence Center
NED Software Architecture
•
•
•
•
•
Blackboard System
Semi-Autonomous Prolog Agents
MS Access Data Storage
Graphical Interface in C++
Distributed Processing Capabilities (DCOM)
Northeastern Research Station
Southern Research Station
The University of Georgia
Artificial Intelligence Center
NED Software Architecture
Knowledge Models
Inference Engines
Meta-knowledge
Blackboard
Temporary Data Files
Simulators
GIS
Visual Models
HTML
Report
s
Interface Modules
A
G
E
N
T
S
Prolog
Clauses
MS Access
Databases
Control Flow
Information Flow
NED/FVS Integration
FVS:
• One of the Model components in NED
• Controlled by Intelligent Agent
• Simulates User’s Treatment Plan
Northeastern Research Station
Southern Research Station
The University of Georgia
Artificial Intelligence Center
NED/FVS Integration
FVS Agent uses metadata to:
• Pick or recommend FVS variant (NE/SN)
• Create keyword and stand files from NED
(MS Access) data
• Run FVS (locally or remotely)
• Convert FVS results to NED format
Northeastern Research Station
Southern Research Station
The University of Georgia
Artificial Intelligence Center
NED/FVS Integration
Blackboard
FVS AGENT
FVS
Control Flow
Information Flow
Plan Screen Shot
Treatment Screen Shot
NED/FVS Integration
The Payoff:
• Transparent use of FVS
• Creates keyword file based on NED
treatment plan
Northeastern Research Station
Southern Research Station
The University of Georgia
Artificial Intelligence Center
Future Directions
• FVS: One of many simulators used in NED
• Coming Soon
– SVS
– Silvah
– Landscape visualization
• Automatic Data Source Registration
• Intelligent Processing of High Level
Queries
Northeastern Research Station
Southern Research Station
The University of Georgia
Artificial Intelligence Center
Further Information
http://www.fs.fed.us/ne/burlington/ned/
Northeastern Research Station
Southern Research Station
The University of Georgia
Artificial Intelligence Center