To save s3 storage costs, it’s often economical to delete SLCs if they are not needed for immediate processing. Say you want to purge all SLCs from some mostly-completed AOI with id aoi_id and track number k. The following steps can be executed to do so:
navigate to Tosca and search via the filter for aoi_id
facet on the area_of_interest dataset
click the box labeled “Query Region” under the aoi object
remove the aoi_id string query and remove the dataset from the facet
facet on the S1-IW_SLC dataset
the facet is returning all SLCs that abide by the spatial constraints specified by the AOI
in the filter box, add the query:
metadata.trackNumber:k
note most other datasets have the es tag
metadata.track_number
instead
finally, submit the following on-demand job:
Action:
Purge datasets [develop-es1]
Queue:
system-jobs-queue
TODO: PGE and procedure for purging SLC-local objects staged on Pleiades.
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