1. SIS Spatial Information Solutions April 23, 2005 MSU ERAC Presentation Spatial Information Solutions: A New Business Delivering Spatial Technology Research Results MSU External Research Advisory Committee Briefing

2. April 23, 2005 MSU ERAC Presentation SIS Spatial Information Solutions 2 Contents Groundbreaking MSU Research SIS Business Case Spatial Technologies, Modeling, and Decision Support Example Commercialization Opportunities – Agriculture Modeling, Decision Support, and Monitoring – Transportation Planning and Analysis Processes – Mapping and Information Updates – Land Cover and Land Use Change Analysis – Biosphere Productivity Existing Intellectual Property Potential Revenue Streams Conclusions

3. April 23, 2005 MSU ERAC Presentation SIS Spatial Information Solutions 3 Groundbreaking MSU Research NASA Biosphere Productivity Research Results Enhanced spatial technologies for crop productivity modeling and monitoring – NASA Biosphere Productivity Research Results ASTA Program and RSTC Results Advanced spatial technologies for site-specific agriculture – ASTA Program and RSTC Results NCRST-E Research Results New spatial technologies for transportation corridor planning and environmental analysis – NCRST-E Research Results Census Data Maintenance Change Detection Research Results New methods for utilizing spatial data for land use change detection – Census Data Maintenance Change Detection Research Results Economic Development Through Enhanced Transportation Corridor Planning Research Results New methods for utilizing object-based technologies for enhanced site selection – Economic Development Through Enhanced Transportation Corridor Planning Research Results The Challenge: Delivering Economic Benefits Through Commercializing Research Results!

4. April 23, 2005 MSU ERAC Presentation SIS Spatial Information Solutions 4 Spatial Information Solutions: The Business Case In researching, developing, testing, delivering, and deploying spatial solutions, the integrated “whole” is far greater than the sum of the parts. The entire supply, solution, and decision management chain must be seamlessly linked to create a robust working solution. Without integrated solutions, the effectiveness of decision-making is decreased due to the complexity of components involved in the solution chain. SIS will provide complete spatial information solutions that include user needs analysis, data specification, data acquisition, data and information processing, structuring the decision support system framework, and managing decision results.

5. April 23, 2005 MSU ERAC Presentation SIS Spatial Information Solutions 5 Spatial Decision Support Systems SDSS Characteristics Complex Questions Multiple Issues Data Driven Processes Multiple Participants Different Viewpoints No Unique Solution Intelligence Design Choice The SDSS enables users to explore the decision problem in an interactive and recursive fashion in all phases of the decision-making process. Decision-making process can be structured into three major phases: Intelligence - is there a problem or an opportunity for change? Design - what are the decision alternatives? Choice - which alternative is best?

6. April 23, 2005 MSU ERAC Presentation SIS Spatial Information Solutions 6 SDSS Capabilities: Dialog, Data, & Modeling The Spatial Decision Support System (SDSS) Interface provides interaction between the user and the SDSS. The SDSS Interface is a Dialog Generation and Management System (DGMS) that provides user-friendly access to choices that are available in the model framework and interactive display of the spatial and tabular data as well as results of SDSS scenario outcomes. The DataBase Management System (DBMS) provides the functions to manage the geographic data base The Model Base Management System (MBMS) contains the functions to manage the model base framework Spatial Database Model Base Framework SDSS Interface DGMS Database Management System Model Base Management System User

7. April 23, 2005 MSU ERAC Presentation SIS Spatial Information Solutions 7 Biosphere Productivity and Crop Security Research Results TMA Summary TMA provides efficient processing of temporal images, performs complex map analysis, employ 3-D temporal image data cubes, extends map algebra functions from 2 to 3 to N dimensions. Alternative NASA data streams are being processed using novel temporal map algebra algorithms to provide enhanced inputs to crop models. Daily Image DataTemporal Composite Temporal Image Cube

8. April 23, 2005 MSU ERAC Presentation SIS Spatial Information Solutions 8 ASTA Program & RSTC Results Crop development may be monitored and growth spatially characterized within fields by examining time-series images and determining the change between images. The process is diagrammed showing routine images acquired at times T1 and T2. Developing robust methods of change detection will facilitate : Monitoring plant growth Monitoring plant growth Tracking management practices Tracking management practices Determining plant vigor Determining plant vigor Recognizing effects of spray drift Recognizing effects of spray drift Examining plant stress Examining plant stress Identifying areas with soil, moisture, or nutrient shortfalls Identifying areas with soil, moisture, or nutrient shortfalls Managing pests Managing pests

9. April 23, 2005 MSU ERAC Presentation SIS Spatial Information Solutions 9 NCRST-E Research Results High-resolution image data for land cover and land use analyses. High-Resolution black and white and CIR digital orthorectified “Basemap” images. LIDAR elevation data for terrain analysis, hydrologic analysis, and design work. Hyperspectral image data for detailed land cover, wildlife habitat, and wetlands analyses. Useful Data Streams Novel Environmental Analysis Algorithms Streamlined Project Planning and Analysis Processes

10. April 23, 2005 MSU ERAC Presentation SIS Spatial Information Solutions 10 Census Data Maintenance Research Results Advanced Change Detection: Object-level change analysis using data fusion MSU is conducting research to create technologies that detect land cover changes and extract map accurate features of interest for updating spatial data.

11. April 23, 2005 MSU ERAC Presentation SIS Spatial Information Solutions 11 Economic Development Through Enhanced Transportation Corridor Planning Research Results Enhanced data management tools are needed to provide access to high-resolution image data across user groups and departments to enhance decision making and analysis processes. Enterprise architectures for data management and distribution require serious efforts to plan, pilot, train, and deploy effective working solutions.

12. April 23, 2005 MSU ERAC Presentation SIS Spatial Information Solutions 12 Specific IP Developments Spatial Image Accuracy Analysis Tools Image Enhancement and Quality Analysis Tools Change Detection Tools Feature Extraction Tools Spatial Data Performance Analysis Tools Independent Verification and Validation Tools

13. April 23, 2005 MSU ERAC Presentation SIS Spatial Information Solutions 13 Potential SIS Revenue Streams Commercialization and sales of IP. Commercialization and sales of IP. Subcontractual services to MSU research projects. Subcontractual services to MSU research projects. Develop new collaborative research, development, and deployment opportunities with MSU to deliver mature solutions based on research results. Develop new collaborative research, development, and deployment opportunities with MSU to deliver mature solutions based on research results. SBIR and STTR opportunities with partnering agencies. SBIR and STTR opportunities with partnering agencies. Congressional initiatives to support the maturation and deployment of new technologies that benefit Mississippi’s economy. Congressional initiatives to support the maturation and deployment of new technologies that benefit Mississippi’s economy. Contracts with businesses, organizations, and agencies to develop and deliver complete spatial information solutions. Contracts with businesses, organizations, and agencies to develop and deliver complete spatial information solutions.

14. April 23, 2005 MSU ERAC Presentation SIS Spatial Information Solutions 14 Concluding Remarks SIS is a new business that will deliver spatial technology research results to commercial application and develop ideas for new collaboration efforts. SIS is a new business that will deliver spatial technology research results to commercial application and develop ideas for new collaboration efforts. SIS will focus business development efforts on delivering seamless solutions that are robustly linked from end-to-end. SIS will focus business development efforts on delivering seamless solutions that are robustly linked from end-to-end. SIS will develop SDSS and knowledge management technologies to improve the effectiveness of decision making processes. SIS will develop SDSS and knowledge management technologies to improve the effectiveness of decision making processes.