Within AARO Results

How AARO tells a balloon from a UAP

AARO resolves many balloon reports by matching drift, infrared appearance and local winds rather than relying on shape alone.

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On this page

  • Why balloons can look anomalous in infrared footage
  • How wind speed and direction test a balloon hypothesis
  • What recent European and Middle East cases reveal

Introduction

Balloons are one of the most common conventional explanations for reports that reach the US All-domain Anomaly Resolution Office (AARO), but the stronger identifications are not simply exercises in recognising a familiar shape. AARO increasingly tests a balloon hypothesis against several independent clues: how an object appears in infrared imagery, whether its apparent speed and direction agree with local winds, whether its changing outline is consistent with flexible balloon material or a cluster, and whether expected signatures of competing explanations are absent. As of AARO’s reporting-trends data through 15 June 2026, balloons accounted for 460 closed cases, or 50.7 per cent of recorded resolution outcomes.[AARO]aaro.milOpen source on aaro.mil.

Balloon cases illustration 1
Explanatory illustration 1

The most informative published cases therefore show what a modern balloon identification actually means. European military infrared recordings from 2022 were classified with at least 95 per cent likelihood as balloons after their appearance and windborne motion were compared with known examples. A 2024 Middle East case added recorded wind data to identify a reflective foil balloon. The unusually detailed Al Taqaddum investigation went further, reconstructing altitude, speed and flight direction from video, geolocation and weather information. Together, these cases show why motion relative to the atmosphere can be more diagnostic than an apparently strange silhouette.

Why balloons can look anomalous in infrared footage

Infrared video is particularly good at creating an intuitive but misleading question: “What shape is that object?” The sensor is not producing an ordinary photograph. It represents differences in infrared radiation as brightness or colour values, and those displayed values can change as the sensor, viewing geometry, background and processing change. An indistinct object may consequently look solid, unusually dark, bright or variable without undergoing any corresponding physical transformation.

AARO’s published European cases illustrate the problem. PR-004, PR-005, PR-006, PR-009 and PR-010 were all recorded by infrared sensors aboard US military platforms in Europe in 2022. Their clips range from roughly 20 seconds to nearly eight minutes. In each, AARO assessed the object with high confidence as almost certainly a balloon, defining that judgement as at least a 95 per cent likelihood. Its stated reasoning combined “morphological consistency” with previously resolved balloon imagery and performance characteristics associated with lighter-than-air objects, specifically movement at the wind’s speed and direction.[AARO]aaro.milOpen source on aaro.mil.

That combination is important. A round or irregular infrared blob is not, by itself, strong evidence for a balloon. AARO’s own archive contains infrared observations that remain unresolved because an apparent contrast could represent a physical object’s thermal emission or reflection, an environmental temperature difference, or a sensor/display effect. In its unresolved PR-008 case from Europe in 2022, for example, AARO explicitly said the available information was insufficient to determine the origin of the apparent heat signature or evaluate the phenomenon’s performance.[AARO]aaro.milOpen source on aaro.mil.

The distinction is therefore between appearance alone and appearance supported by kinematics. In the resolved European balloon clips, AARO says both dimensions agree: the objects resemble known balloon observations and behave as windborne objects should. That makes the identification substantially stronger than merely labelling every indistinct sphere or blob a balloon.

The Al Taqaddum case also demonstrates why changes in infrared brightness should be treated cautiously. AARO found that the object’s fluctuating infrared return resulted from the sensor repeatedly adjusting the greyscale assigned to pixels to maximise visual dynamic range against a changing background. In other words, at least some of the apparent thermal variability was produced by the imaging system rather than by unusual heating or energy production in the object itself.[AARO]aaro.milOpen source on aaro.mil.

This matters more broadly when interpreting UAP footage. AARO lists mylar balloons and other windborne debris among objects that sensors can make appear unusual, while commercial and scientific balloons can be difficult to identify when seen from unfamiliar angles or under unusual observing conditions.[AARO]aaro.milOpen source on aaro.mil. The infrared image is therefore evidence, but it has to be interpreted as a sensor measurement rather than treated as an ordinary visual portrait.

How wind speed and direction test a balloon hypothesis

A free-floating balloon is constrained by the surrounding air mass. It can rise or descend as buoyancy changes, and local turbulence can complicate its path, but sustained horizontal motion should broadly follow the wind at its altitude. That produces a useful test: reconstruct the object’s trajectory and ask whether its velocity is compatible with measured or modelled atmospheric motion.

AARO repeatedly invokes this criterion. For the five published Europe 2022 balloon cases, its summaries say the objects’ performance characteristics align strongly with lighter-than-air objects because they drift at wind speed and direction.[AARO]aaro.milOpen source on aaro.mil. The Middle East Red Balloon case from 2024 is even more explicit: AARO assessed the slow-moving spheroidal object as almost certainly a consumer-grade reflective foil balloon because its morphology resembled known balloon imagery and its behaviour correlated with the recorded wind speed and direction during the event.[DVIDS]dvidshub.netOpen source on dvidshub.net.

This approach is valuable because it tests a physical prediction rather than relying entirely on visual resemblance. A powered aircraft or drone can travel across, against or independently of the wind. A freely drifting balloon cannot sustain such independent horizontal propulsion. When an object’s direction and speed track the air mass over an extended observation, a balloon explanation becomes more plausible; when they do not, investigators need another explanation or better data.

There is an important qualification. “Moving with the wind” is not automatically equivalent to “proved to be a balloon”. Wind varies with altitude, time and location, so the relevant comparison is not necessarily the wind measured at ground level. Determining the object’s range and altitude may itself be uncertain. A useful analysis therefore needs enough positional, timing and meteorological information to compare the object’s reconstructed motion with the appropriate atmospheric layer.

That is why the Al Taqaddum resolution is particularly revealing. AARO did not pretend that the meteorology yielded a single exact velocity. It assessed the object’s altitude at approximately 850–2,200 feet and speed at 4–14 mph, assigning only moderate confidence to those ranges because historical and real-time wind data varied. Yet it assigned high confidence to the more important relationship: using positional data from the observing blimp, the object was travelling east to west within the range of the wind speed.[AARO]aaro.milOpen source on aaro.mil.

The evidential logic can therefore be summarised as a convergence test:

  • Trajectory: Does the object’s direction agree with the local wind?
  • Speed: Is its horizontal speed compatible with passive drift?
  • Morphology: Does the sensor imagery resemble known balloons, including flexible or changing outlines?
  • Thermal behaviour: Is there evidence of propulsion, engines or another heat-generating mechanism?
  • Consistency over time: Does the explanation continue to work throughout the observation rather than only for a convenient frame?

None of those clues necessarily identifies a balloon on its own. When they all point in the same direction, however, the explanation becomes much harder to dismiss as simple visual pattern-matching.

Balloon cases illustration 2
Explanatory illustration 2

European cases show the value — and limit — of pattern matching

AARO’s Europe 2022 releases form a useful natural comparison because multiple reports were collected by the same combatant command and largely involved infrared sensors on US military platforms. Several superficially unusual objects ended up in the balloon category, while neighbouring cases remained unresolved or were closed under different assessments.[AARO]aaro.milOpen source on aaro.mil.

The resolved balloon set is strikingly repetitive. PR-004 lasted 31 seconds, PR-005 32 seconds, PR-006 20 seconds, PR-009 20 seconds and PR-010 seven minutes 56 seconds. AARO gives essentially the same evidential basis for each: strong morphological consistency with other resolved balloon imagery combined with motion characteristic of lighter-than-air objects drifting with the wind.[AARO]aaro.milOpen source on aaro.mil.

That repetition can look formulaic, but analytically it points to a potentially useful reference library. Once investigators have multiple examples whose appearance and motion are independently compatible with balloons, subsequent footage can be compared against a growing set of resolved observations rather than judged in isolation. AARO’s language suggests that this comparative imagery has become part of its attribution process.

At the same time, its unresolved European releases demonstrate an essential safeguard: visual similarity is not always enough. PR-008 produced an apparent infrared heat signature but lacked sufficient information to establish its source or performance characteristics. PR-011, recorded in Europe in 2021, was still described as undergoing analysis in AARO’s published imagery catalogue. Other European cases have been left unresolved when the available footage established little more than the presence of a physical-looking area of contrast.[AARO]aaro.milOpen source on aaro.mil.

The lesson is not that an infrared orb should be presumed to be a balloon. It is that a balloon identification becomes persuasive when the morphology and expected physics reinforce one another. Where the physics cannot be reconstructed, AARO sometimes stops short of attribution.

Al Taqaddum shows the method in detail

The strongest public example of AARO’s balloon methodology is not one of the short European clips but the Al Taqaddum case in Iraq. On 23 October 2017, an infrared sensor aboard a force-protection aerostat operating at 2,700 feet recorded an unidentified object for 17 minutes and 30 seconds near Al Taqaddum Air Base. AARO eventually assessed with high confidence that it was a cluster of fully and partially inflated balloons.[AARO]aaro.milOpen source on aaro.mil.

What makes the case useful is the amount of analytical detail AARO published. The office says it used full-motion video, video metadata, line-of-sight information, scenario reconstruction and weather analysis. Rather than deriving its conclusion from a single frame, it attempted to reconstruct the object’s physical behaviour across the observation.[AARO]aaro.milOpen source on aaro.mil.

Several details converged. AARO estimated an altitude of 850–2,200 feet and a speed of 4–14 mph. The trajectory ran east to west within the expected wind-speed range. In individual frames, analysts reported seeing rounded forms consistent with fully and partly inflated balloons, along with dangling strings. Those apparent strings changed shape and number as the cluster’s orientation changed relative to the sensor, which AARO regarded as consistent with a flexible group of balloons rather than a rigid craft.[AARO]aaro.milOpen source on aaro.mil.

The infrared evidence also helped test a competing hypothesis. One of AARO’s partners proposed that the object might have been a quadrotor unmanned aerial system covered in camouflage netting. AARO rejected that possibility for two stated reasons. First, such a drone would not normally be expected simply to drift with the wind in the manner reconstructed from the footage. Second, its electric motors should have generated heat detectable by the infrared sensor, yet AARO found no corresponding heat sources.[AARO]aaro.milOpen source on aaro.mil.

This is a stronger form of identification than saying “it looks like balloons”. The balloon hypothesis explains several positive observations — speed, direction, altitude, rounded shapes and hanging material — while the drone hypothesis creates additional expectations that the footage does not satisfy.

The case also exposes unavoidable uncertainty. AARO could not assign a precise altitude or speed because the available meteorological data varied, and the video became grainier as the object moved farther from the sensor.[AARO]aaro.milOpen source on aaro.mil. Its conclusion is therefore probabilistic rather than an identification of a recovered physical object. But that is precisely why the convergence of independent clues matters: uncertainty in any one measurement does not prevent a strong attribution if the plausible ranges still agree with passive windborne motion.

Balloon cases illustration 3
Explanatory illustration 3

The Middle East red balloon makes the wind test unusually clear

A much simpler case from 2024 shows the same principle without the elaborate reconstruction. A US military platform in the Middle East recorded one minute and 36 seconds of full-motion video of what the reporting service described as a slow-moving spheroidal object. AARO subsequently assessed it with high confidence — at least 95 per cent likelihood — as a consumer-grade reflective foil balloon.[DVIDS]dvidshub.netOpen source on dvidshub.net.

The identification rested on two stated pillars. Its appearance was strongly consistent with previously resolved balloon imagery, while its movement correlated with the recorded wind speed and direction at the time of the event.[DVIDS]dvidshub.netOpen source on dvidshub.net. That second component is the more consequential one: it converts a resemblance into a physically testable explanation.

Reflective foil balloons are especially relevant to UAP reporting because their familiar appearance at close range can disappear at distance. A reflective, rotating or partly distorted balloon can present different profiles as it turns, while a military imaging system may reduce the visible object to a small high-contrast form. The fact that an object is described initially as a sphere or “orb” therefore does not establish a distinct class of vehicle.

AARO’s wider statistics reinforce that caution. Its data through June 2026 show “orb/round/sphere” as the most common recorded morphology, representing 226 reports with morphology information, while balloons constitute 460 closed-case resolutions.[AARO]aaro.milOpen source on aaro.mil. Those datasets are not directly interchangeable — morphology counts describe reports, while resolution counts describe closed cases — so they cannot be used to claim that most reported orbs are balloons. They do show why investigators cannot safely infer identity from a broad shape category alone.

What these cases reveal about credible balloon identifications

The important development in AARO’s balloon resolutions is methodological rather than semantic. “Balloon” can sound like a dismissive label when presented without supporting data. In the better-documented cases, however, the conclusion emerges from a chain of observations that can at least partly be checked against ordinary physics.

The strongest published examples share three features. First, investigators have enough imagery to compare morphology with previously resolved balloon observations. Second, they can reconstruct or otherwise compare the object’s motion with atmospheric winds. Third, infrared behaviour does not reveal the signatures expected from a powered alternative. Al Taqaddum adds a particularly useful fourth feature: changing strings and balloon-like components become visible in portions of the footage, while sensor processing explains some of the apparently changing infrared return.[AARO]aaro.milOpen source on aaro.mil.

Just as important is what AARO does not claim in every case. An infrared contrast without adequate telemetry, range, meteorological information or other corroboration may remain unresolved. AARO’s own unresolved imagery demonstrates that a physical-looking spot on an infrared display is not automatically sufficient for either an anomalous conclusion or a conventional attribution.[AARO]aaro.milOpen source on aaro.mil. Independent scientific proposals for systematic UAP investigation make a similar methodological point: reliable identification benefits from multiple sensor modes, quantitative kinematics and environmental measurements including local wind velocity, rather than a single imaging channel.[arXiv]arxiv.orgOpen source on arxiv.org.

That is the main significance of these balloon cases within modern UAP resolution. Their value is not that balloons can be invoked whenever an object looks round. It is that a passive airborne object makes predictions. It should move in ways compatible with the atmosphere around it; its flexible structure may change presentation with viewing angle; and it should lack propulsion signatures expected from powered craft. When infrared imagery, reconstructed motion and meteorological data independently satisfy those predictions, an initially unidentified object can be resolved without relying on shape alone.

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Endnotes

1. Source: aaro.mil
Title: AARO FY2025 Consolidated Annual Report on UAP
Link:https://www.aaro.mil/Portals/136/PDFs/FY25%20UAP%20Annual%20Report/AARO_FY2025_Consolidated_Annual_Report_on_UAP.pdf

Additional References

2. Source: youtube.com
Title: Full Uncut [Tracking]({{ ‘tracking/’ | relative_url }}) Video of the Infamous ‘Jellyfish’ UAP over Iraq
Link:https://www.youtube.com/watch?v=nb45rXZX6Yw

Source snippet

UAP FILES - Footage Released of Object Tracked over Europe in 2022...

3. Source: youtube.com
Title: UAP FILES
Link:https://www.youtube.com/watch?v=TCLKbR_jbkA

Source snippet

Top Declassified UFO Videos Released by the Pentagon...

4. Source: youtube.com
Title: DOW-UAP-PR116, Unresolved UAP
Link:https://www.youtube.com/watch?v=uibIahAR8l4

Source snippet

The UFO 'cookbook': How the American government investigates the unexplainable...

5. Source: archive.dni.gov
Title: DOD AARO Consolidated Annual Report on UAP Nov2024
Link:https://archive.dni.gov/files/ODNI/documents/assessments/DOD-AARO-Consolidated-Annual-Report-on-UAP-Nov2024.pdf

6. Source: youtube.com
Title: The UFO ‘cookbook’: How the American government investigates the unexplainable
Link:https://www.youtube.com/watch?v=6NrAQbco7dQ

7. Source: youtube.com
Title: Top Declassified UFO Videos Released by the Pentagon
Link:https://www.youtube.com/watch?v=oER70vPK1aU

Source snippet

DOW-UAP-PR116, Unresolved UAP...