Bird & Wildlife Radar Intelligence

Data status: Illustrative

Strike risk is driven by patterns: when birds are active, at what height, in which direction and in which season. A single detection with no time behind it means little, and a count with no pattern behind it means even less.

• Low-altitude observationsPassive spatial and optical observations of airborne activity, taken from the projects that produce them. This project adds no sensor of its own.
• Time and seasonWhen activity occurs, by hour of the day and month of the year, kept as patterns.
• Direction and height bandWhich way activity moves and at what broad height, without a species label.

1. Uses observations from passive radar and electro-optical sensing; no dedicated wildlife radar is claimed.
2. Aggregates density, direction and height bands over time into patterns.
3. Correlates the patterns with weather context and with flight operations.

• Patterns, not counts.
• No species labels unless a species has been validated.
• An application, not a sensor.
• Every pattern is shown as illustrative until evidence says otherwise.

Bird and wildlife intelligence is an application of the core platform. It takes observations that other projects produce, gathers them over days and seasons and offers the patterns as context to airport airspace and to weather. It is not a sensor and it identifies no species.

Read the architecture

Evidence ladder

1. E0 · Concept reached
2. E1 not reached
3. E2 not reached
4. E3 not reached
5. E4 not reached
6. E5 not reached

Project assurance panel

Mission and context

Give airports and sites a view of wildlife activity as airspace context, shown over time, height and season without a claim of species.

Primary contribution

Patterns of activity by hour, month, direction and height band, built from observations that other projects supply.

Decision value

Lets a reviewer see when and where wildlife activity tends to concentrate, and how that lines up with weather and flight operations.

Evidence status

Evidence level: E0 · Concept Concept and research direction only. No specification, prototype, test result or deployment is claimed.

Next validation step

Write down how observations become patterns, then specify a first review of synthetic seasons before any claim is made.

Behaviour when degraded

When the contributing sources are thin or stale, a pattern says so and widens, and a gap in the record is shown as a gap and not as a quiet period.

Role in integration

Would take observations from passive radar and electro-optical sensing and context from the atmosphere project, and offer patterns to airport airspace intelligence.

Human review

A person reviews any pattern before it is used for planning, and decides what, if anything, it means for operations.

Public-safe limitation

No species, site, count or flight path is described. The clock, calendar and rose on this page are illustrative and use invented levels.

Open unknowns

How many seasons of observation a pattern needs, how patterns should be validated and what can be said about species at all are not yet known.

When the contributing sources are thin or stale, a pattern says so and widens, and a gap in the record is shown as a gap and not as a quiet period.

• An airfield that wants to plan around wildlife activity

  Why it matters here

  Risk follows patterns that a single detection cannot show.

  What it contributes

  Patterns by hour, season and direction as context for planning.

  What it does not replace

  Wildlife management, or the people who carry it out.

• A review of when activity rises

  Why it matters here

  Knowing that activity peaks at certain hours and months is more useful than knowing that something was seen.

  What it contributes

  Views of the same pattern by clock, calendar and direction.

  What it does not replace

  A study by wildlife specialists.

Would take observations from passive radar and electro-optical sensing and context from the atmosphere project, and offer patterns to airport airspace intelligence.

Write down how observations become patterns, then specify a first review of synthetic seasons before any claim is made.

• This is a concept. There is no specification, prototype or measured result behind it.
• The clock, calendar and rose use invented levels. They show how a pattern is read, not what any site experiences.
• No dedicated wildlife radar is claimed. The project depends on observations from other projects, whose evidence is at the same early stage.
• Levels are not counts and no species is named. A pattern says when and where activity concentrates, not what it is.

• Airport Airspace IntelligenceEvidence level: E0

  Airport airspace intelligence is where wildlife patterns are used as a layer.

• Hyperlocal Atmospheric IntelligenceEvidence level: E0

  Atmospheric intelligence supplies the conditions that shift when and where activity occurs.

• Passive Coherent Location (PCL) RadarEvidence level: E1

  Passive coherent location supplies spatial observations of airborne activity.

• Distributed Passive Radar NetworkEvidence level: E0

  A passive network widens the area from which the observations come.

• Multi-Sensor Fusion EngineEvidence level: E0

  Fusion combines the observations the patterns are built from.