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An Intelligent Information System for Forest Management

An Intelligent Information System for Forest Management. NED/FVS Integration. 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. Presentation Overview. Introduce NED NED Decision Process

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An Intelligent Information System for Forest Management

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  1. An Intelligent Information System for Forest Management NED/FVS Integration

  2. 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

  3. Presentation Overview • Introduce NED • NED Decision Process • NED Software Architecture • NED/FVS Integration • Future Directions

  4. NED: a set of tools forNatural 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.

  5. The NED Decision Process • 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

  6. The NED Decision Process • 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

  7. Inventory • Management Unit • Stands • Plots • Overstory Observations • Understory Observations • Ground Observations

  8. The NED Decision Process • 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

  9. The NED Decision Process • 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

  10. The NED Decision Process • 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

  11. The NED Decision Process • 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

  12. The NED Decision Process • 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

  13. NED Software Architecture • Intelligent Information System for decision support, featuring the unification of: • Knowledge Base • Database • Model Base

  14. NED Software Architecture • Blackboard System • Semi-Autonomous Prolog Agents • MS Access Data Storage • Graphical Interface in C++ • Distributed Processing Capabilities (DCOM)

  15. Knowledge Models Inference Engines Meta-knowledge A G E N T S Blackboard Prolog Clauses Temporary Data Files Simulators GIS Visual Models MS Access Databases HTML Reports Interface Modules Control Flow Information Flow NED Software Architecture

  16. NED/FVS Integration FVS: • One of the Model components in NED • Controlled by Intelligent Agent • Simulates User’s Treatment Plan

  17. 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

  18. Control Flow Information Flow NED/FVS Integration Blackboard FVS AGENT FVS

  19. Plan Screen Shot

  20. Treatment Screen Shot

  21. NED/FVS Integration The Payoff: • Transparent use of FVS • Creates keyword file based on NED treatment plan

  22. 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

  23. Further Information http://www.fs.fed.us/ne/burlington/ned/

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