QC of Imagery with FME at Manitoba Hydro

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Presented by Sarah Wach and Rob Gerry of Manitoba HydroAbstract: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 HydroSarah Wach and Rob GerryGeospatial Data Services, Manitoba Hydro

April 23, 2012

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

Best Available Digital Ortho Imagery

• 56 data sources

• Air Photo & Satellite

• 10cm to 15m resolution

• color & greyscale

• ~ 4 TB’s and growing

• 7 areas

• 6600 Sq. Km’s

• 1090 tiles

• 2 aircraft

2011 DOIAcquisition

Testing Parameters

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

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

Test for Tiff Naming

Test for Datum and Tile Size

Test for Image Resolution

Low Resolution Raster Creation

Outputs

CSV file with results of the tests Shapefile with the tiff bounding boxes Low resolution ecw file

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

FME Applications in Development

Caribou GPS tracking collar conversion

LiDAR QC

XML metadata

Thank You!

Questions?