CGDI in the new Millenium Why toque' eh

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CGDI in the new MilleniumWhy toque. eh?

• Henry Kucera
• HydraSpace Solutions Inc

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Background
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Back to the Future 2002
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The Quest Interoperability
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Multi-tier ArchitectureComponents. Not quite
finished
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OGC Service Model for Levels of Distributed Data
Access
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Integrated Interface Component View
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CGDI Status Quo

• The data handling Deliverables today are
• data warehouses, conforming to international
  standards, for the storage and integration of
  spatial and non-spatial information
• a distributed architecture for locating and
  accessing data through a simple single-window
  search
• a suite of tools and services for data load,
  integration and retrieval, Web browsing, data
  delivery and report generation
• The system must be designed to deliver
  information in a form readily accessible and
  useable by decision-makers in support of
  economic,environmental and environmental
  obligations.

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Sound bites.

• Address the mission space.
• Information managed closest to Source...
• Common Geographies
• Extensible architecture and information framework
• The need for Speed vs XML (rich language and
  tools)
• Query, report and share data across the
  enterprise
• OGC will save your soul. But only with ISO and
  national stakeholder input!
• Yeah its neat but they are small companies..
• Content of programs is essential. Todays data
  wont cut it.

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Command Control
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Sustainability Exploitation of Resources
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Reporting on state of the economyHard facts on
sustainable communities
Alberta
Sask.
Alberta
Manitoba
Saskatchewan
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Interoperability Barriers
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Targetted Services to be delivered through CGDI
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Target System
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Standards will become even more important
ISO SQL3 SQL/MM
Common Language (SQL and XML)
Common Data Model

Common Spatial Functions
Physical
Level
Database
Schema
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Moving from a science to and Industry

Standards
Policy Training
Research Development
Demonstrations Testbeds
Standards for integration access

Commercialization of products and services
Technology
People
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Development of Automated Techniques to Extract,
Generalize, and Access Geospatial Data from
Remotely Sensed Data
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Where we need to be..

• Distributed Spatial Warehouse with distributed
  utilities
• Catalog and Process management tools and services
• A feature extraction service for multi-resolution
  imagery
• Images, hi-res vector, and classified output in
  the data warehouse, accessible to other services
  (e.g., feature linking and terrain analysis)
• A distributed architecture for acquisition and
  update of data through multiple portals
• Cascading servers for connectivity to
  applications
• A suite of tools for data load, integration and
  retrieval, Web browsing, report generation, and
  download.
• Encryption to support commerce
• Local support for ongoing development (PEOPLE)
• Industry growth through teaming consortium
  clear benefits, clear rules.. No religion.