Presented by Sarah Wach and Rob Gerry of Manitoba Hydro Abstract: 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.

1. QC of Imagery with FME at
Manitoba Hydro
Sarah Wach and Rob Gerry
Geospatial Data Services, Manitoba Hydro
April 23, 2012

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. Best Available
Digital Ortho
Imagery
• 56 data sources
• Air Photo &
Satellite
• 10cm to 15m
resolution
• color &greyscale
• ~ 4 TB’s and
growing

4. 2011 DOI
Acquisition
• 7 areas
• 6600 Sq. Km’s
• 1090 tiles
• 2 aircraft

6. Testing Parameters
 Proper naming (eg. 51061010)
 Horizontal Datum (NAD83 – zone 14)
 Tile Size (2.5 km sq.)
 Image Resolution (20cm)
 Colour Balance
 Georeference

7. 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

8. Test for Tiff Naming

9. Test for Datum and Tile Size

10. Test for Image Resolution

11. Low Resolution Raster Creation

12. Outputs
 CSV file with results of the tests
 Shapefile with the tiff bounding boxes
 Low resolution ecw file

13. 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

14. FME Applications in Development
 Caribou GPS tracking collar conversion
 LiDAR QC
 XML metadata

15. Thank You!
 Questions?