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| Name | Caption |
|---|---|
| Input Folder | Input folder |
| Output Folder | Output folder |
| Circular Error 90% | Circular Error 90% |
| Spectral Normalization Coefficient of Determination | Spectral Normalization Coefficient of Determination |
| Spectral Normalization Valid Pixel Count | Spectral Normalization Valid Pixel Count |
| Tier Thresholds | Thresholds used to classify a metric into tiers |
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Input Folder
The path and name of the folder containing valid GDB-supported images; typically, this is the output folder of the Data Ingest module.
Output Folder
The path and name of the folder to which to write the output files.
Circular Error 90%
CE90 is a measure of pixel horizontal accuracy. It means within a confidence of 90%, a pixel's offset is smaller than the number stated by CE90. The smaller the number, the better the accuracy.
Spectral Normalization Coefficient of Determination
Coefficient of determination (R squared) of the spectral normalization regression, averaged over all processed channels.
Spectral Normalization Valid Pixel Count
Number of valid pixels used in the spectral normalization.
Tier Thresholds
For each quality metrics, user can enter the lower and upper thresholds for each of the tiers.
A metric is designated as certain quality tier if it is greater or equal to the lower tier threshold, and smaller than the upper tier threshold.
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The module classifies ARD product into quality tiers and creates a summary report based on one or more of the selected metrics. The overall quality tier of a scene is based on the lowest quality tier of its metrics.
Job results
On successful completion of the ARD Quality Assessment module, the "Output Folder" is populated with a report called quality_summary_report.csv. The report contains information on quality metrics and tier designation of each scene.
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