Military Airfield Pavement Inspection by Drone

A drone pavement service for military airfields, in development: what the platform does, what the D5340 crack prototype adds, and what the walked survey keeps.

Published 2026-09-23 Updated 2026-10-11 Reviewed by Štefan Moravík · 2026-09-23 13 MIN READ
Military Airfield Pavement Inspection by Drone
JOINT SPALLING · JOINT SEAL DAMAGE · LOW SUN
Direct answer
TarmacView’s pavement service for military airfields is in active development and not offered yet. The platform already plans survey flights between movements, captures every paved surface and keeps the imagery, with an offline field deployment. A working prototype, close to a first MVP, detects cracks and codes them to ASTM D5340. It produces no condition index.
Key takeaways
  1. 01 The service is in active development and not offered yet. The platform already plans the flights, captures every agreed paved surface between movements and keeps the imagery.
  2. 02 A working prototype, close to a first MVP, detects cracks and codes them as D5340 distresses 41, 43 and 48 on asphalt and 63 on concrete. Grass, patches and debris are also recognised, in development and short of training data.
  3. 03 The prototype writes a section and sample-unit inventory as GeoJSON, with a JSON or Markdown report keyed by the same IDs. It produces no condition index.
  4. 04 Where a requirement names the D5340 survey, the walked survey is still the record.
  5. 05 Capture can run on an offline field deployment, and the crack processing runs on a separate GPU machine, not on the field laptop.
On this page · 12 sections
For
Airfield pavement engineers who run a PCI programme and want whole-surface imagery between the walked surveys it requires.
Airfield managers at installations where operational data is kept on site or where there is no usable network at the pavement.
Evaluation teams who want to test a crack-detection prototype against their own walked sections while it is still being developed.
Not for
A formal ASTM D5340 PCI survey, which needs a trained rater walking the sample units.
Structural evaluation, which needs deflection testing, penetrometer data or coring rather than imagery.
Friction, roughness and texture measurement, which D5340 itself excludes and which need equipment on the surface.

Who runs into this

The Pavement Condition Index is a military method before it is a civil one. It was developed by the US Army Corps of Engineers with US Air Force funding, and the FAA and the Naval Facilities Engineering Command adopted it afterwards. A military airfield therefore already has the vocabulary: sections, sample units, a walked ASTM D5340 survey, and a pavement management system , usually PAVER, that turns the survey into a work plan. What it often lacks is a look at the whole surface between two walked surveys.

It shows up in three questions.

  • Which of the D5340 distress types can an automated survey actually record, and which still need a rater on foot?
  • Can two surveys a year apart be compared section by section, so that a change in the figure is a change in the pavement and not in the method?
  • Can the survey run on an installation that keeps operational data inside the perimeter, or on a remote airfield with no network and little time on the pavement?

The pavement condition assessment is the service behind this page. It is not offered yet and is in active development, and its pavement processing is a working prototype close to a first MVP. The runway pavement check covers the lighter recurring look. This page sets out what the platform already does, what the prototype adds, and what it does not do yet.

Where this applies, and where it does not

This applies to paved runways, taxiways and aprons that are rated by the D5340 method, asphalt and jointed concrete alike, whether or not the airfield is civil. It applies most where the walked survey is sampled and infrequent, where the pavement is ageing, and where an evaluation team wants to test the prototype on its own sections.

It does not replace the walked survey where a requirement names it. It does not assess structural capacity, which needs deflection testing or coring, and it does not measure friction or roughness, which D5340 excludes by its own scope. And it does not see through water, snow or contamination on the day.

THE SURVEY

What the platform already does, and what is in development

Whole surface
Every agreed surface imaged in overlapping passes, not a sample of units.
Between movements
Survey flights planned and flown in the windows air traffic control opens.
Imagery kept
The frames are retained with RTK positions to about ±1 cm, so a section can be re-examined without flying again.
Offline capture
A field deployment on a local network with offline map tiles plans and captures with no connection.
Prototype
Crack detection coded to D5340 41, 43 and 48 on asphalt and 63 on concrete, in development, close to a first MVP.
Also recognised
Grass, patches and debris, in development and short of training data.
Prototype output
A section and sample-unit inventory as GeoJSON, with a JSON or Markdown report keyed by the same IDs.
Not built yet
No condition index, no other distress types, no comparison between surveys, no PAVER import.

What the platform already does

Survey flights and capture between movements

The service is in active development and not offered yet. The platform already plans the flights and captures the imagery. The survey is planned from the surfaces in scope and flown in overlapping passes in the windows air traffic control opens between aircraft movements. Every agreed runway, taxiway and apron is imaged, not a sample of units. Capture takes about an hour of flying per kilometre of a 45 m wide runway, plus battery changes, with taxiways and aprons adding time in proportion to their area.

The imagery is retained with RTK positions to about ±1 cm. If an engineer disputes a section, it is re-examined against those frames rather than re-flown, and the same frames can be processed again when the detection model improves.

Capture on a closed network

For installations whose rules keep operational data inside the perimeter, and for remote or temporary airfields with no usable connection at the pavement, there is an offline field deployment. A field laptop serves the app on a local network on the airfield with offline map tiles, so the survey is planned and flown and the imagery stays on site with nothing uploaded. The offline workflow is described in full elsewhere.

The field laptop does not run the pavement processing. That runs on a separate GPU machine, as described below, so where and when the imagery is processed is agreed per installation.

Weather and surface state

Results are best on a calm, sunny day. High wind blurs the images and low light forces a high ISO, so harsher conditions are flown with an adjusted, slower surface-scan configuration rather than ruled out. Standing water, snow cover and heavy contamination hide the surface, and a pass over them is reflown once the surface is clear rather than rated through. This page states no temperature, wind or ingress rating.

The pavement surface at scan resolution, with raveling and fine cracking visible under low sun

The surface at survey resolution. Cracking reads as a shadow line and raveling as texture loss, which is why sun on the pavement helps where the movement windows allow it.

The prototype: crack detection coded to D5340

The pavement processing is a working prototype in development, close to a first MVP. It runs on the orthomosaic built from the survey imagery. A detection model marks each crack, and a set of rules turns the detected cracks into ASTM D5340 distress codes.

  • 41, alligator cracking , on asphalt.
  • 43, block cracking, on asphalt.
  • 48, longitudinal and transverse cracking, on asphalt.
  • 63, linear cracking, on concrete.

The system also recognises grass, patches and debris. All three are in development and short of training data, and none is coded as a D5340 distress.

The output is a section and sample-unit inventory as GeoJSON, with a JSON or Markdown report keyed by section and sample-unit ID. The processing runs on a separate GPU machine, not on the field laptop. Because the imagery is kept, an earlier survey can be re-run on a newer model, which is a manual step today. Where an evaluation team has a day on the airfield, the inventory can be read before the walk to see where cracking is concentrated, while the walked units are still chosen by the sampling rules.

What it does not do yet

  • D5340 coding of anything beyond those four. Patches are recognised but not coded, and the system does not classify raveling , weathering, jet blast erosion, oil spillage, joint seal damage, joint spalling , corner spalling and scaling.
  • Rutting or depression depth. Both are geometry, and no surface model is built.
  • A condition index of any kind, PCI or otherwise.
  • Comparison between surveys.
  • Import into PAVER.

Where the walked D5340 survey is required, it remains the record. Severity criteria that need touch, such as whether a sealant is still bonded to the joint face, anything below the surface, and calls the standard leaves to a trained rater’s judgement all belong to it. Loose material is a foreign object debris question rather than a pavement defect, because it has a different owner and a different clock.

Keeping a later survey comparable

A condition record is useful once. A change in it is what a work plan runs on, and a change only means something if nothing else moved. TarmacView does not compare surveys yet, but three things can be held fixed from the first one.

  • The section boundaries. They are agreed at scoping, ideally as the installation’s existing sections, and kept. A boundary moved between surveys breaks the record for every section it touches, so moving one is a decision with a cost, not an edit.
  • The identifiers. The prototype keys its inventory to section and sample-unit IDs, so keeping the IDs keeps two inventories readable against each other. The DoD evaluation manual and PAVER use a network, branch and section structure, which the prototype does not import yet.
  • The retained imagery. The frames behind every inventory are kept. When the detection model is updated, an earlier survey can be re-run on its imagery so two surveys are read on one model.

A walked survey that samples units can drift between cycles in which units are walked and in who rates them. The DoD manual is explicit that the evaluator’s most important task is identifying the correct distress type and severity. Whole-surface imagery removes the sampling drift from the capture, and the rater’s judgement stays with the walked survey where it belongs.

How a survey runs

The first survey sets the section map that every later one reuses, so the first step matters most.

SURVEY · 6 STEPS

From the section map to a prototype inventory

Difficulty Intermediate
  1. 01

    Agree and freeze the section map

    Start from the installation's existing network, branch and section map where one exists. Agree the surfaces in scope and fix the boundaries and identifiers before any capture.

    WhyAny later reading is a reading of sections, so the sections cannot move.

    Done when

    A signed-off section map that this survey, any repeat and the next walked survey will all use.

    If not

    Where no map exists, divide by construction history and use.

  2. 02

    Agree the deployment and the data rules

    Agree whether capture runs on the offline field deployment, where the GPU processing runs, and who reviews the output.

    WhyWhere the data may go decides where the capture runs and where the imagery is processed.

    Done when

    A scope note naming the deployment, the processing location and the reviewer.

    If not

    If the rules are unclear, capture offline. The imagery stays on the airfield until processing is agreed.

  3. 03

    Fly the surfaces between movements

    Fly the full width of each surface in overlapping passes at the planned resolution, in the windows air traffic control opens, on a calm, sunny day where the windows allow.

    WhyThe mission is generated from the surface geometry and the camera, so the next survey reproduces this one.

    Done when

    Every surface is covered, with a position on every frame.

    If not

    Water, snow or contamination on a section means that pass is reflown once the surface is clear, not rated through.

  4. 04

    Detect and code the cracks

    Build the orthomosaic, run crack detection on the GPU machine, and apply the D5340 rules for 41, 43 and 48 on asphalt and 63 on concrete inside each section and sample unit.

    WhyThe inventory is the prototype's output, and it has to be traceable to the frames behind it.

    Done when

    A GeoJSON inventory and a JSON or Markdown report keyed by section and sample-unit ID.

    If not

    A disputed crack is checked against the retained frames rather than re-flown.

  5. 05

    Report hazards on the day

    Anything the crew sees on the pavement that looks like an immediate operational hazard is reported to airfield management on the day of capture.

    WhyA condition record runs on a planning clock. A hazard does not.

    Done when

    The hazard is in the airfield's hands before any inventory exists.

    If not

    Where there is no network, the notice is handed over in person on the airfield.

  6. 06

    Repeat on the same sections

    Fly the same mission on the same section map. Comparison between surveys is not built yet, so the two inventories are read side by side by hand.

    WhyA later comparison is only possible if the second survey is flown and keyed the same way as the first.

    Done when

    Two inventories keyed to the same section and sample-unit IDs, read on one model.

    If not

    A disputed result is re-examined against the retained imagery of both surveys rather than re-flown.

The flight path of a surface scan covering the full width of a runway in overlapping passes

The same mission on every visit, generated from the surface geometry, so a later survey covers the same ground as the first.

THE TWO METHODS

A walked D5340 survey and the drone survey with its prototype

What each method covers, how it repeats, and what it can be used for. · Verified 2026-09-23
QuestionWalked D5340 PCI surveyDrone survey and crack prototype
CoverageThe sample units chosen by the sampling rules, with the section value inferred from themEvery agreed surface imaged, not a sample of units
Distress typesThe full D5340 catalogue, identified and rated by a trained inspectorCracking coded 41, 43 and 48 on asphalt and 63 on concrete, with grass, patches and debris recognised, all in development
RepeatabilityDepends on walking the same units with the same catalogue each cycleSame mission and fixed sections, with the imagery retained. Comparison between surveys is not built yet
Rater dependenceA trained rater identifies type and severity, which is the method's strength and its varianceOne detection model and one rule set for the whole surface
Formal requirementThe index a requirement naming D5340 or the DoD survey procedure asks forProduces no PCI or condition index. It supplements the walked survey
Time on the airfieldScales with the number of units walked and the rater's paceAbout an hour of flying per kilometre of a 45 m wide runway, plus battery changes, between movements

Governance and the record

A PCI is a statement about a defined area, and the record behind it is what makes it defensible. The DoD evaluation manual keys every pavement record to a network, branch and section identifier, and describes cursory inspections, the kind done when time is short, as valid for limited or immediate use only. Retained, positioned imagery is a dated record of the surface, and the prototype’s inventory is keyed to section and sample-unit IDs. Neither changes which survey a requirement asks for.

Evidence and the honest limits

The strong claim is coverage and retention. The whole agreed surface is imaged in planned passes between movements, and the imagery is kept. Those are properties of how the survey is run, and each one can be checked in a pilot.

The weaker claim is the prototype. It codes cracks by rule into four D5340 types, and how well it agrees with a rater on a given pavement is what an evaluation should measure, by walking a few sections in the same season as a drone survey. The PCI explainer sets out how a PCI is built and why a result from imagery is not one.

Then the limits that do not move. Nothing below the surface, no structural capacity, no friction or roughness, and nothing that water, snow or contamination hides on the day.

Objections worth raising before a pilot

“We already run PCI surveys to the DoD procedure.” Keep running them. The drone survey does not replace them. It captures the whole surface between them, and the prototype shows where cracking is.

“A camera cannot rate severity the way our raters do.” The prototype codes cracking only, and every other distress type stays with your raters. Where severity depends on touch or judgement, the walked survey keeps it.

“Our data cannot leave the installation.” Then the capture runs on the offline field deployment and nothing is uploaded. The crack processing runs on a separate GPU machine, so where it runs is agreed per installation.

“We need a condition index.” The prototype does not produce one. What it produces is a coded crack inventory per section and sample unit, which a rater can check against the walked survey.

If the question is the service itself, the pavement condition assessment page describes it while it is in development. If it is the lighter recurring look, the runway pavement check covers it. If it is the debris the surface sheds, FOD that comes from the pavement itself takes that angle. And if it is the on-site deployment, the technology page covers it. To talk about the development or a pilot on your own sections, contact TarmacView .

Frequently Asked Questions

Does a drone survey replace a D5340 PCI survey?
No. D5340 is a visual method, but it assumes a trained rater applying the distress catalogue to sample units chosen by its sampling rules, and the index it produces is the one a pavement management programme or a funding requirement names. The drone survey, in active development, captures the whole surface and keeps the imagery. The prototype adds crack detection coded to four D5340 distress types, and it produces no index. Where a requirement names the standard method, the walked survey is what satisfies it.
Which D5340 distress types can imagery record?
Much of the D5340 catalogue is visible from above, but the prototype codes only cracking. That is 41 alligator, 43 block and 48 longitudinal and transverse cracking on asphalt, and 63 linear cracking on concrete. Patches, grass and debris are also recognised, all in development and short of training data, but they are not coded as D5340 distresses. Raveling, weathering, joint seal damage, spalling, scaling and the other types are not classified. Rutting and depressions are geometry, and their depth is not measured. Anything that needs touch or a rater's judgement stays with the walked survey.
How is a repeat survey kept comparable with the last one?
Comparison between surveys is not built yet. What carries over today is the imagery, which is retained, so a disputed result is re-examined against the frames that produced it rather than re-flown. The prototype keys its inventory to section and sample-unit IDs, so sections agreed at scoping and kept fixed let two inventories be read side by side. Re-running an earlier survey on a newer detection model is possible from the retained imagery, and it is a manual step today.
Can the survey run with no network at all?
The capture can. The offline field deployment runs the app on a local network on the airfield with offline map tiles, so the survey is planned and flown and the imagery stays on site with nothing uploaded. The crack-detection prototype does not run on the field laptop. It runs on a separate GPU machine, so where and when the imagery is processed is agreed per installation.
What conditions stop a survey?
Anything that hides the surface. Standing water, snow cover and heavy contamination such as sand or rubber deposits cover the distress a camera needs to see, so the pass is reflown once the surface is clear rather than rated through. Results are best on a calm, sunny day. High wind blurs the images and low light forces a high ISO, so harsher conditions are flown with an adjusted, slower surface-scan configuration. Access is the last limit, because the capture needs air traffic control and airfield management to open windows between movements.
Does the survey produce a PCI or a condition figure?
No. The prototype produces an inventory of coded cracks per section and sample unit, and no condition index of any kind. A PCI also needs every other distress type, its severity and extent, and the deduct values of the standard, and none of that is built. The honest way to evaluate the prototype is to walk a few sections by the standard method in the same season as a drone survey and compare the crack inventory section by section.
How does the output reach a pavement management system such as PAVER?
Not directly yet. The prototype writes a section and sample-unit inventory as GeoJSON and a JSON or Markdown report keyed by section and sample-unit ID. PAVER import is not built, so moving results into it is a manual step today. The DoD evaluation manual describes section maps moving between GIS and PAVER as shapefiles or tables keyed by network, branch and section identifiers, and the prototype does not write that format.

References

ufm-3-260-03
UFM 3-260-03, O&M Manual: Standard Practice for Airfield Pavement Evaluation US Department of Defense, Unified Facilities Manual
faa-ac-150-5380-7b
AC 150/5380-7B, Airport Pavement Management Program (PMP) Federal Aviation Administration
paver-tri-service
About PAVER US Army Corps of Engineers, Tri-Service Transportation
flc-paver
PAVER, Field Inspector, and Image Inspector: expanded user base Federal Laboratory Consortium for Technology Transfer
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