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Labelling Structure For Advisory Data

Labelling Structure For Advisory Data

Andi Lamprecht Andi Lamprecht ·· 2 min read· Draft
ADR-0263 · Author: Tim Nelson · Date: 2026-02-10 · Products: shared
Originally ADR--0137-Labelling structure for Advisory Data (v7) · Source on Confluence ↗

Labelling structure for Advisory Data and flow through interfaces

Traceability Links
Jama Requirementshttps://droneup.jamacloud.com/perspective.req?continue#/items/1132577?projectId=87
Jira TasksCORE-2523

Context

The airspace data pipeline must mark AirDEX advisory data in some manner so that it can be differentiated from other airspace types by downstream services. Currently, data flows through a pipeline of several services:

    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
  

UTM Atlas

Ingests airspace data and places in PubSub with this schema.

utm-themis-charger

Receives data from PubSub, parses, and validates.

Airspace data from AirDEX must be differentiated before conversion to MVT format, which occured in utm-themis-api and utm-themis-grpc in the existing pipeline.

Decision

We will introduce a new :advisory ruleset to distinguish AirDEX advisory data from existing authoritative airspaces. This allows dedicated MVT layers and kinds for advisory data.

Consequences

  • Clients who are not interested in AirDEX advisory data (pathfinder, for instance, may not need to route around these airspaces) can subscribe only to the :far-part-107 ruleset.
  • AirDEX advisory data will reside in a separate layer in Mapbox tiles, which allows different rendering of this data without having to filter based on airspace kind.
  • Clients who are interested in both :far-part-107 and :advisory rulesets will have to subscribe to both.

Alternatives Considered

Same ruleset, separate kind - it was preferred to have separate subscriptions, so this was rejected.

Formal Impact

utm-themis-charger

utm-themis-api

utm-themis-grpc

Last updated on