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High Resolution

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Value-added & consulting services. Contract services for the public sector. EuroIntel 98 ... Improve Image Quality. Increase Management Decision Accuracy ... – PowerPoint PPT presentation

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Title: High Resolution


1
High Resolution Commercial Imagery Presentation
Nate Boyer Autometric, Inc. 3-25-98
2
  • Presentation Overview
  • Data provider overview
  • Impact of new systems
  • Imagery availability
  • Trends in spatial information demand
  • Applications characteristics of hot markets
  • Where are the opportunities
  • Success criteria and impacts of hi-res imagery

3
  • Current Data Providers
  • Space Imaging EOSAT
  • RADARSAT

4
  • Future Commercial Data Providers
  • Space Imaging EOSAT
  • OrbImage
  • EarthWatch
  • GDE
  • EROS 1
  • Resource 21

5
  • Impact Of New Systems
  • On End Users
  • Higher resolutions
  • More spectral choices
  • More frequent revisit capabilities
  • Faster delivery
  • Lower cost for imagery
  • Broader selection of providers
  • More accurate information
  • New applications
  • Helps users make better decisions
  • Increase productivity
  • Reduce variability
  • Improve accuracy

6
  • Imagery Availability
  • Media/formats
  • Browse capabilities
  • Delivery mechanisms
  • Future delivery

7
  • Trends in Spatial Information Demand
  • Remote sensing spatial information becoming
    better understood and accepted by new markets
  • Demand for rapid turnaround increasing
  • Increased demand across all markets
  • Increased demand for complete solutions

8
Decreasing Costs
Software Costs
Hardware Costs
Transmission Costs
Integration Costs
Data Costs
9
Increasing Capabilities
Software Capability
Hardware Capability
Transmission Speeds
Integration Integrity
More Data
More Accurate
10
Applications Characteristics of Hot Markets
11
  • Applications Characteristics of Hot Markets
  • High growth and high level of competition
  • Increasingly global geographic requirements
  • Higher levels of accuracy required
  • Consolidations, mergers, acquisitions, downsizings

12
  • Example
  • Agriculture
  • Number of farmers decreasing, land value
    increasing
  • Size of farms increasing dramatically
  • US crop value in 1995 100 billion
  • Demand for more detailed spatial information
    increasing

13
  • Example
  • Telecommunications
  • 10-15 providers cover 90-95 of customers
  • High growth in wireless services
  • Increased demand for regional/national coverage

14
  • Prime Markets For Spatial Information
  • Civilian governments (state, county, local)
  • Utilities (telecom)
  • Real estate, agriculture, construction
  • Finance, banking insurance
  • Natural resource management distribution

15
  • Where Are The Opportunities?
  • Spatial decision support systems services
  • Value-added consulting services
  • Contract services for the public sector

16
  • Where Are The Opportunities?
  • Spatial Decision Support Systems Services
  • Subscription services
  • Custom network/service management
  • Monitoring maintenance management

17
  • Where Are The Opportunities?
  • Value-Added Consulting Services
  • Custom data interpretation
  • Change detection analysis
  • Value-added image processing

18
  • Where Are The Opportunities?
  • Contract Services For The Public Sector
  • Property appraisal services
  • Damage assessment services
  • Forecasting and modeling

19
  • Success Requirements
  • Data access in 24 hours or less
  • Low cost data and derived products
  • Robust telecommunications links and capacity
  • Industry standards for formats/conversion
  • Application specific partnerships

20
  • Impacts
  • Reduce costs
  • Reduce risk
  • Improve productivity
  • Broader acceptance
  • Improve customer satisfaction
  • Reduce variance
  • Improve decision making processes

21
  • Critical Success Evaluation Factors
  • Improve Resources Allocation Processes
  • Improve Image Quality
  • Increase Management Decision Accuracy
  • Maximize Image Production Throughput
  • Reduce Image Cost
  • Maximize Information Content Extraction
  • Improve Customer Service
  • Reduce Image Variability
  • Increase Prediction/Forecast Accuracy

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Information Solution Success Evaluation Factors
26
Improvements In The Spatial Information
Production Process
Data Capture Data Production
Data Display Data Analysis
Interpretation Value-Added
Packaging Distribution
27
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