Apply simplify algorithm to existing geometries and future submissions

[basilv]

To address performance/capacity limitations for BCGW Extract, we want to apply a simplify algorithm to FOM spatial objects in order to drastically reduce the volume of data (# of vertices). This algorithm will be applied as a data fix to the existing data as well as applying when new spatial data is submitted.

Additional Context

• See spike ticket SPIKE: Address BCGW extract taking too long in the future #612
• Use ST_SimplifyPreserveTopology in postgis with tolerance 2.5m
• First draft of wording for FOM UI / Julius communications: "FOM applies processing to the submitted spatial objects in order to keep storage / processing requirements reasonable. Spatial objects submitted that are overly detailed have the number of vertices reduced while preserving the original shape within a tolernace of approximately 2.5 meters. (For the geospatially-savvy, this is done using the Douglas-Peucker algorithm.)"

Acceptance Criteria

• Data migration to apply simplify algorithm to all existing spatial objects (cut blocks, retention areas, road sections).
• Add step in processing of spatial submission to apply simplify algorithm, probably as an update statement after storing the initial data in the database.
• Copy some complex spatial objects from prod to test environment to manually test the above two items.
• Add wording to FOM spatial submission screen (expanded text area) about doing the simplification. (Basil to draft - see above)
• Send communications to Julius about doing the simplification that he can pass along to submitters (Basil to draft - see above). Include some screenshots from testing (see spike ticket SPIKE: Address BCGW extract taking too long in the future #612).

Definition of Done

• Ready to Demo in Sprint Review
• Does what I have made have appropriate test coverage?
• Documentation and/or scientific documentation exists and can be found
• Peer Reviewed by 2 people on the team
• Manual testing of all PRs in Dev and Prod
• Merged