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Published byBrianna Dunnett Modified over 10 years ago
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ASPRS 2005 Annual Conference, Baltimore, Maryland Camera Calibration, Characterization and Contracting Guidelines: An Quality Assurance Perspective U.S. Department of the Interior U.S. Geological Survey
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ASPRS 2005 Annual Conference, Baltimore, Maryland Why do we care? System performance Product specifications Contract monitoring Data quality Traceability and metadata
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ASPRS 2005 Annual Conference, Baltimore, Maryland The Whole Spectrum: Camera certification System certification Product characterization Quality control of deliverables Approved processing methods Best practices by data providers ISO certification
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ASPRS 2005 Annual Conference, Baltimore, Maryland Possible criteria for approved manufacturers: Review of factory calibration process Design and manufacturing controls Documentation and recommended guidelines Document controls: drawings, instructions, and procedures Maintenance agreements and warranties Availability of maintenance and repair services
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ASPRS 2005 Annual Conference, Baltimore, Maryland Possible criteria for approved manufacturers: Availability of spare parts and viability of suppliers Nature of recalls and engineering changes Performance testing by manufacturers Testing of OEM components Published tests reports
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ASPRS 2005 Annual Conference, Baltimore, Maryland Possible criteria for approved data providers: Inspection of service records Documentation of procedures and best practices Recorded compliance with manufacturers guidelines for maintenance and operation Training and experience Project management
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ASPRS 2005 Annual Conference, Baltimore, Maryland Possible Quality Assurance Measures by USGS: Review of production process and quality assurance procedures in the selection process Periodic review of records maintained by data providers Periodic submission of in-situ calibration results Quality control of products by sample testing
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ASPRS 2005 Annual Conference, Baltimore, Maryland Whats needed? Comprehensive quality assurance program which ensures: System performance Qualified personnel Documentation Best practices Standards and performance measures Data quality
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