QC of Imagery with FME at Manitoba Hydro


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Presented by Sarah Wach and Rob Gerry of Manitoba Hydro
Manitoba Hydro has been using FME for over eight years as an everyday processing tool. Recently we have begun to create more complex workbenches to deal with the greater demands of the data we are processing. Digital ortho image quality control has always been a time consuming process, much more so now with the increase in file sizes due to increasing resolutions. We required a tool to cut down the manual work required to determine to determine if incoming orthophotography from contractors is meeting specifications. To meet this demand we developed a FME workbench to process tiff files and output a report, a coverage grid and a degraded raster mosaic file for each dataset. The user inputs the parameters the image product is expected to meet (Tile size, resolution, coordinate system) as well as the input dataset location and the output locations and file names. The input datasets are the tiff images and a shapefile of the coverage grid which was created pre-project. The workbench determines if the tiff file is located in correct place and named correctly by comparing it to the coverage grid. It also performs tests on the raster parameters to see if they meet the user input parameters. A degraded raster mosaic is output to allow for a visual inspection of the entire dataset without the excessive processing times required to create a full mosaic. This workbench is expected to cut down on the time required to QC an incoming DOI product by days or weeks.

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QC of Imagery with FME at Manitoba Hydro

  1. 1. QC of Imagery with FME atManitoba HydroSarah Wach and Rob GerryGeospatial Data Services, Manitoba Hydro April 23, 2012
  2. 2. FME at Manitoba Hydro Started using early 2000’s Data format conversions Coordinate system transformations NTDB formatting for ESRI SDE Image mosaics/compression Day to day data processing Production mode for parcel fabric updating
  3. 3. Best AvailableDigital OrthoImagery• 56 data sources• Air Photo &Satellite• 10cm to 15mresolution• color &greyscale• ~ 4 TB’s andgrowing
  4. 4. 2011 DOI Acquisition• 7 areas• 6600 Sq. Km’s• 1090 tiles• 2 aircraft
  5. 5. Testing Parameters Proper naming (eg. 51061010) Horizontal Datum (NAD83 – zone 14) Tile Size (2.5 km sq.) Image Resolution (20cm) Colour Balance Georeference
  6. 6. Inputs Uses published parameters to make the workbench reusable and user friendly Testing Values Information for naming the output files Locations for the Sources and Destinations
  7. 7. Test for Tiff Naming
  8. 8. Test for Datum and Tile Size
  9. 9. Test for Image Resolution
  10. 10. Low Resolution Raster Creation
  11. 11. Outputs  CSV file with results of the tests  Shapefile with the tiff bounding boxes  Low resolution ecw file
  12. 12. Results Prior to the FME workspace only a few tiles out of a dataset would have been checked Enables a complete QC process Creates a record of the QC process Allows more time for visual checks
  13. 13. FME Applications in Development Caribou GPS tracking collar conversion LiDAR QC XML metadata
  14. 14. Thank You! Questions?