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https://issues.apache.org/jira/browse/SDAP-526?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Riley Kuttruff updated SDAP-526:
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Resolution: Implemented
Status: Done (was: In Progress)
> Add simultaneous support for masking tomograms with both Lidar & predicted
> heights
> ----------------------------------------------------------------------------------
>
> Key: SDAP-526
> URL: https://issues.apache.org/jira/browse/SDAP-526
> Project: Apache Science Data Analytics Platform
> Issue Type: Improvement
> Components: nexus-analysis
> Reporter: Riley Kuttruff
> Assignee: Riley Kuttruff
> Priority: Minor
>
> Request per STV-FIS users.
>
> Currently, user can provide collections for upper (canopy) and lower (ground)
> bounds for valid tomogram data and this will be masked out. Current products
> used for masking are lidar data (which should be considered truth) and
> predicted DTM/DSM/CHM products from lidar/SAR fusion (which is more spatially
> complete, but less accurate). Users would like to be able to use both, making
> by more truthful data points where possible with both predicted and lidar
> profiles annotated.
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