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transcript
SISISS
Spatial InformationSpatial InformationSolutionsSolutions
April 23, 2005 MSU ERAC Presentation
Spatial Information Solutions:Spatial Information Solutions:A New Business Delivering Spatial A New Business Delivering Spatial
Technology Research ResultsTechnology Research Results
MSU External Research MSU External Research Advisory Committee Advisory Committee BriefingBriefing
2 April 23, 2005 MSU ERAC Presentation
SISISS
Spatial InformationSpatial InformationSolutionsSolutions
ContentsContents
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
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Spatial InformationSpatial InformationSolutionsSolutions
Groundbreaking MSU Groundbreaking MSU ResearchResearch
Enhanced spatial technologies for crop productivity modeling and monitoring – NASA Biosphere Productivity Research ResultsNASA Biosphere Productivity Research Results
Advanced spatial technologies for site-specific agriculture – ASTA Program and RSTC ResultsASTA Program and RSTC Results
New spatial technologies for transportation corridor planning and environmental analysis – NCRST-E Research ResultsNCRST-E Research Results
New methods for utilizing spatial data for land use change detection – Census Data Maintenance Change Detection Research ResultsCensus Data Maintenance Change Detection Research Results
New methods for utilizing object-based technologies for enhanced site selection – Economic Development Through Enhanced Economic Development Through Enhanced Transportation Corridor Planning Research ResultsTransportation Corridor Planning Research Results
The Challenge: Delivering Economic The Challenge: Delivering Economic Benefits Through Commercializing Research Benefits Through Commercializing Research
Results! Results!
4 April 23, 2005 MSU ERAC Presentation
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Spatial InformationSpatial InformationSolutionsSolutions
Spatial Information Solutions:Spatial Information Solutions:The Business Case 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
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Spatial InformationSpatial InformationSolutionsSolutions
Spatial Decision Support Spatial Decision Support SystemsSystems
SDSS SDSS CharacteristicsCharacteristics
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
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SDSS Capabilities: Dialog, SDSS Capabilities: Dialog, Data, & ModelingData, & 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 BaseFramework
SDSS InterfaceDGMS
Database Management
System
Model Base Management
System
User
7 April 23, 2005 MSU ERAC Presentation
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Spatial InformationSpatial InformationSolutionsSolutions
Biosphere Productivity and Biosphere Productivity and Crop Security Research ResultsCrop Security Research Results
TMA SummaryTMA 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 usingnovel temporal mapalgebra algorithms to provide enhanced inputs to crop models. Daily Image Data Temporal Composite
Temporal Image Cube
8 April 23, 2005 MSU ERAC Presentation
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Spatial InformationSpatial InformationSolutionsSolutions
ASTA Program & RSTC ASTA Program & RSTC ResultsResults
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 growthMonitoring plant growth• Tracking management practicesTracking management practices• Determining plant vigorDetermining 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 Identifying areas with soil, moisture, or nutrient shortfallsshortfalls• Managing pestsManaging pests
9 April 23, 2005 MSU ERAC Presentation
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Spatial InformationSpatial InformationSolutionsSolutions
NCRST-E Research ResultsNCRST-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
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Spatial InformationSpatial InformationSolutionsSolutions
Census Data Maintenance Census Data Maintenance Research ResultsResearch Results
Advanced Change Detection: Object-level change analysis
using data fusion
MSU is conducting research tocreate technologies that detectland cover changes and extract map accurate features of interestfor updating spatial data.
11 April 23, 2005 MSU ERAC Presentation
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Spatial InformationSpatial InformationSolutionsSolutions
Economic Development Through Economic Development Through Enhanced Transportation Corridor Enhanced Transportation Corridor Planning Research ResultsPlanning 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
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Spatial InformationSpatial InformationSolutionsSolutions
Specific IP DevelopmentsSpecific 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
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Potential SIS Revenue Potential SIS Revenue StreamsStreams
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 Develop new collaborative research, development, and
deployment opportunities with MSU to deliver mature deployment opportunities with MSU to deliver mature solutions based on research results.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 Congressional initiatives to support the maturation
and deployment of new technologies that benefit and deployment of new technologies that benefit Mississippi’s economy.Mississippi’s economy.
Contracts with businesses, organizations, and agencies Contracts with businesses, organizations, and agencies to develop and deliver complete spatial information to develop and deliver complete spatial information solutions.solutions.
14 April 23, 2005 MSU ERAC Presentation
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Concluding RemarksConcluding Remarks
SIS is a new business that will deliver SIS is a new business that will deliver spatial technology research results to spatial technology research results to commercial application and develop ideas commercial application and develop ideas for new collaboration efforts.for new collaboration efforts.
SIS will focus business development efforts SIS will focus business development efforts on delivering seamless solutions that are on delivering seamless solutions that are robustly linked from end-to-end.robustly linked from end-to-end.
SIS will develop SDSS and knowledge SIS will develop SDSS and knowledge management technologies to improve the management technologies to improve the effectiveness of decision making processes.effectiveness of decision making processes.