What are the disadvantages of drone surveying? 5 weaknesses to know before implementation

Table of Contents

• Why drone surveying is gaining attention

• Why You Should Understand the Drawbacks of Drone Surveying First

• Weakness 1: Easily affected by weather and site conditions

• Weakness 2: Vulnerable to unseen areas and shielded environments

• Weakness 3 Ensuring accuracy requires on-the-ground work and reference management

• Weakness 4 Burden of safety management and complying with flight rules

• Weakness 5: Data processing and creating deliverables are time-consuming

• Situations where implementation is highly effective despite drawbacks

• Practical points to confirm before implementation

• Summary

Why drone surveying is gaining attention

Drone surveying has attracted widespread attention as a method that makes it easy to grasp large areas in a short time and to efficiently record the condition of terrain and structures from the air. Compared with conventional ground surveying, a major advantage is that it reduces the area workers need to walk and makes it easier to inspect conditions on steep slopes or in locations where access must be restricted. Its applications are expanding year by year, including pre-construction site assessment, verification of earthwork plans, as-built management, initial post-disaster inspection, and records for maintenance management.

On the other hand, many practitioners who are searching not only focus on the benefits of adoption but also harbor concerns such as whether it can truly be fully used in the field, whether it is less versatile than expected, and whether the operational burden might be unexpectedly large. These are very natural concerns. New measurement methods can look attractive if you only examine success stories, but in actual fieldwork factors such as weather, terrain, accuracy requirements, safety management, the types of deliverables, and internal organizational structure become intricately entwined. If you do not identify weaknesses before implementation, the gap between expectations and reality can widen, making it harder for the investment and operational improvements to take root.

Drone surveying in particular is a field that is easily misunderstood as "you can get highly accurate results as soon as you fly." In reality, surveying work only comes together when it includes flight planning, on-site ground checks, handling of control points, adjustment of image capture conditions, analysis/processing settings, and verification of the deliverables. In other words, the flight itself is only one step, and the preparation before and the post-processing after it greatly affect the quality of the results.

In this article, aimed at practitioners considering the adoption of drone surveying, we organize five representative disadvantages. Rather than simply dismissing it as "unsuitable," we explain from a practical perspective why each is a weakness, what kinds of sites are likely to experience problems, and how to think about them to better avoid failure. Please use this to grasp the overall picture as decision-making material before implementation.

Why You Should Understand the Drawbacks of Drone Surveying First

Many failures in implementing drone surveying are not caused by insufficient equipment performance itself, but by inadequate assessment of applicable conditions. In other words, a common problem is the inability to distinguish sites that are suitable for drone surveying from those where it would be better to combine other methods. For example, while it can be highly efficient on large earthwork sites, it may fail to capture the necessary information sufficiently in areas with dense trees or many obscured sides of structures. Even when deliverables such as plan views, cross sections, earthwork volume comparisons, or 3D models are required, the work design can vary greatly depending on the required accuracy and the verification methods.

Also, when making decisions within the company, it is important whether the downsides are understood. If those responsible for implementation emphasize only the benefits, the people on site are likely to feel, "This is different from what we were told." Conversely, if you can explain the weaknesses as well, it becomes easier to gain cooperation from the field and to establish operational rules and role assignments. What matters in technology adoption is not to stir up excessive expectations, but to translate it into a form that can be reproduced on site.

Furthermore, it should not be overlooked that in drone surveying “measuring” and “producing usable deliverables” tend to become separate things. Even if the flight itself goes smoothly, problems can arise later, such as analysis conditions not matching, coordinates not aligning, inability to extract the required cross-sections, or difficulty comparing with design data. These issues are not the fault of the site, but stem from a failure to design operations from the outset that assume these weaknesses.

That is why it is highly meaningful to confront and understand the drawbacks at the pre-implementation stage. If you know the weaknesses, it becomes easier to think about where to focus attention to maximize effectiveness, rather than looking for reasons not to use it. From here, we will examine in order five weaknesses that are particularly likely to cause problems in practical work.

Weakness 1: Susceptible to weather and on-site conditions

The most obvious disadvantage of drone surveying is that it is strongly affected by weather conditions and the on-site environment. Although ground surveying is also influenced by weather, because drones are devices that fly in the air they are more directly affected by wind, rain, fog, backlighting, sunlight conditions, surface reflections, dust, and the like. In practice, not only whether a flight can be conducted but also the degradation of the quality of the collected data is a major issue.

For example, on days with strong winds, the aircraft is less stable and the capture position and orientation tend to vary. This can make the alignment between images unstable and cause artifacts in parts of the point cloud or model. Even if the flight itself has been completed, it is not uncommon for later analysis to reveal that some accuracies are worse than expected. This is particularly true at sites with elevation differences or around buildings, where local wind disturbances are likely to occur and can be easily overlooked by less experienced operators.

Rain and humidity cannot be ignored. Beyond protecting the aircraft, they affect the condition of the lens and sensor surfaces, visibility, and how the ground appears. After rain, the ground can become more reflective, and mud or puddles may look different from their surroundings, causing variability in processing results. It is not simply a matter of having clear weather; strong sunlight that creates deep shadows and differences in appearance depending on the time of day also affect the results.

Site conditions also impose significant constraints. Proximity to power transmission equipment, terrain with large elevation differences, insufficient takeoff and landing space, traffic of work vehicles and third parties, and temporary stockpiles of soil or materials mean that actual sites are not always ideal shooting environments. Even where a site appears wide open, there are many locations where it is difficult to establish a safe flight path or to fly at the planned altitude and overlap. Mountainous areas, urban areas, coastal areas, and sites under development each present their own distinct difficulties.

What this weakness implies is that drone surveying requires flexibility in scheduling. Rather than the mindset of "proceed even if conditions are somewhat poor" used in ground surveying, it calls for the mindset of "secure quality all at once when conditions are right." The more compressed the work schedule on site, the more burdensome it is when you cannot fly on the planned date. In other words, while drone surveying can contribute to efficiency, it is a method that requires planning that assumes the risks of waiting for suitable weather and of re-flights.

Weakness 2: Vulnerable in unseen locations and shielded environments

Drone surveying excels at capturing broad areas from above, but it has a structural drawback: it is weak when it comes to "unseen areas." This is a very important point. No matter how high-performance the equipment is, you cannot fully acquire something that is physically not visible. The very nature of photographing from above creates both its strengths and its weaknesses.

Typical examples include under trees, under the eaves, the underside of bridges, scoured parts of slope faces, shadows cast by heavy machinery and materials, narrow passages, the sides of structures, and indoor or semi-indoor spaces. These locations are often precisely the spots you really want to inspect on site. For example, in maintenance and as-built verification, important information is sometimes found in hard-to-see areas. However, if you rely solely on drone surveying, the area captured can be more biased than it appears.

This weakness is particularly pronounced at sites with dense vegetation. When you want to know the ground surface, what is visible from above is the tops of grasses and trees, and the necessary subsurface ground information can be hidden beneath them. If the ground surface is required for pre-construction site assessment or earthwork volume estimation, operating without fully accounting for the effects of vegetation may make the expected comparisons impossible. Even if only parts of a developed site are covered with grass, the appearance can vary by location, so care is needed when making judgments after analysis.

The same applies in urban areas and around structures. Near buildings, side information is often lacking, making it difficult to reproduce fine shapes. Even when the outer perimeter is captured cleanly, rear faces and confined spaces are frequently insufficient, and after converting to 3D you may find that only the parts you need are missing information. The most troublesome situation in practice is when something appears to have been measured but is not sufficient for the intended use.

The countermeasure to this issue is not to treat drone surveying as a standalone, complete method. It is necessary to design the approach so that, when required, supplemental ground measurements are combined, the targets to be captured are clarified in advance, and locations that will produce blind spots are identified beforehand. While drone surveying is very effective for getting a quick overview of an entire site, it is important to proceed on the premise that there are limits for detailed inspections and for identifying occluded areas. If this characteristic is not understood before implementation, it tends to lead to complaints like “it looks comprehensive, but the necessary parts are missing.”

Weakness 3 Ensuring accuracy requires ground operations and control of reference points

Drone surveying is often touted as an efficient method, but when you try to ensure accuracy, preparation and verification work on the ground actually become important. This is a point that is easily misunderstood before adoption. Simply photographing from the air does not automatically produce high accuracy; ground-side management—such as handling reference coordinates, flight conditions, the design of the target area, and verification of the results—determines the quality.

What is required in practice is not "data that vaguely shows a shape" but "deliverables whose positional relationships can be trusted." For tasks such as current-condition verification, design comparison, earthwork quantity calculation, and as-built control, it is more important to guarantee positional accuracy than to have a pleasing appearance. To do this, you must clearly define the coordinate reference, use known ground control points or survey marks as needed, and verify the consistency after processing.

The issue here is that those in charge of implementation often expect "on-site work will be reduced" too much. It is true that the effort of walking across wide areas can sometimes be reduced, but the more accuracy you require, the more important advance preparation and verification become. If the placement of control points is poor, it can introduce bias into overall accuracy, and if the number or distribution of points is insufficient, local deviations can be hard to detect. In other words, simply increasing the number of flights is not enough; the planning on the ground determines the outcome.

Also, the handling of coordinate systems and elevations cannot be overlooked in practice. Even if things appear correct on-site, when overlaid with existing drawings, design data, or other survey results, discrepancies can lead to major rework in later stages. In particular, for tasks that involve overlaying multiple datasets, lax control at the time of acquisition can result in a lot of time being spent later on corrections and realignments. This is not so much a flaw of drone surveying itself as a common failure that occurs when precision management is underestimated.

Furthermore, verifying the results requires a certain level of expertise. Even if the point clouds and orthophotos produced after processing look clean, that alone does not mean the accuracy is sufficient. The absence of visual anomalies and the suitability of the outputs for surveying purposes are different matters. Therefore, when introducing drone surveying, you need personnel who understand not only flight operations but also control point management and result verification. If you implement it based solely on an image of increased efficiency, the burden of this aspect is likely to feel heavier than expected.

Weakness 4: The burden of safety management and complying with flight rules

Drone surveying may look like a task you can start immediately once you bring in the equipment, but in reality the burden of safety management and compliance with flight rules is significant. This is not merely administrative work, but an important disadvantage that affects on-site operations themselves. Even when the purpose of surveying is clear, because it involves flying, constant consideration for the safety of third parties, coordination within the site, and care for the surrounding environment are required.

First, an on-site check before flight is essential. There are many items to confirm: whether there is pedestrian or vehicle traffic flow around the work area, whether there are power lines, trees, or temporary structures, whether the takeoff and landing sites are safe, and how to respond in an emergency. Because conditions at construction sites change daily, a location that was fine previously may have different material placements or heavy-equipment routes on the day. Therefore, even if operations appear routine, a safety check is required every time.

There is also the burden of coordinating with stakeholders. You may need to coordinate flight timing and coverage with multiple parties, such as the site supervisor, subcontractors, nearby stakeholders, and facility managers. Because it cannot be completed by the survey personnel alone, preparation may take longer than expected. If flights are conducted alongside on-site work, temporary work stoppages or access restrictions may be required, so the survey cannot proceed based solely on the schedule of the survey team.

Additionally, understanding the rules is essential for flying. You cannot fly freely anywhere; the need for prior checks and procedures varies depending on the surrounding environment and the nature of the operation. If those responsible take this lightly, a project that seemed fine during the planning stage may be forced to change its conditions at the last minute. As a result, this can lead to schedule delays and a loss of trust from the field.

Furthermore, safety management is not limited to the time the drone is in flight. Operational planning must also include handling of acquired images and position information, measures to avoid inadvertently capturing surrounding areas or bystanders, and an accident reporting system. In other words, drone surveying is not merely the introduction of equipment but a business reform that requires the establishment of operational rules. Underestimating this burden tends to create the impression on site that "it looked convenient, but in practice required a lot of care," which becomes a reason why adoption does not spread.

Weakness 5 Data processing and preparing deliverables are time-consuming

One of the biggest gaps felt after introducing drone surveying is in post-flight data processing and deliverable production. Even if on-site acquisition is completed in a short time, that does not necessarily mean the results will be immediately usable. Image organization, analysis, positioning/alignment, removal of unnecessary parts, inspection of point clouds and orthophotos, creation of cross-sections, drafting into drawings, and preparation of comparison materials — the subsequent processes take surprisingly much time.

This is an area where differences in perception between on-site personnel and managers easily arise. Managers tend to think, "Because it was captured widely in a short time, results will come quickly," whereas field staff feel, "Merely acquiring it is still just raw material." In particular, when using it for delivery or internal sharing, it must be organized into a format that matches the intended purpose. Whether you want to inspect it as a point cloud, view it as cross sections, compare earthwork volumes, or overlay it onto a design model, the processing required changes significantly.

Also, the large volume of data becomes a burden. The wider the coverage, the more data tends to be collected, which creates work for storage, transfer, verification, and reprocessing. Depending on internal endpoint and network environments, the handing over of data itself can become a bottleneck. Especially during the initial stages of deployment, it is easy for things to become unclear—who handles which parts of the process and who is responsible for verifying deliverables—and on-site operations tend to become confused.

Furthermore, experience is required to stabilize the quality of deliverables. Even at the same site, results vary depending on capture conditions and processing settings. Even if you can somehow produce results the first time, low reproducibility prevents them from taking hold within the organization. In other words, drone surveying does not end with having someone who can fly the drone; you need to build a system that includes people who can produce outputs in a form usable as deliverables. If this is not in place, on-site you may ultimately still be left with verification work using conventional methods, resulting in a kind of duplicate management.

In practice, this weakness is the aspect that most readily influences management decision-making. Even if flight-related labor savings are apparent, if downstream processes consume time the overall efficiency becomes hard to see. To make drone surveying successful, it is essential not to evaluate it solely by acquisition speed, but to design the entire workflow through to final deliverables as a single business process.

Situations Where Implementation Yields High Benefits Despite Drawbacks

So far we have looked at five weaknesses, but that does not mean drone surveying is a difficult method to use. What matters is understanding those weaknesses and applying the technique correctly where it excels. Drone surveying is particularly strong for tasks that need to be captured over an area, such as broad-area site condition assessments, before-and-after construction comparisons, checking the shapes of developed land and embankments, progress recording, and initial surveys.

Especially at sites where it would take a long time for people to walk and inspect in detail, or at sites where you want an overhead view of the whole, significant benefits can be expected from adoption. When you want to compare data from multiple points in time, the fact that it is easy to record the same area from above is also advantageous. The ease of visually sharing information in site reports and stakeholder briefings is another practical benefit. In other words, if you view drone surveying not as a technology that replaces everything but as a technology that excels at capturing and recording surfaces, it becomes easier to decide where it should be applied.

Furthermore, when considered on the premise of combining it with ground-based methods, its range of applications expands even further. The idea is to supplement on the ground only the parts that are hard to see or require accuracy checks, while streamlining overall understanding from the air. By clarifying the division of roles in this way, the disadvantages of drone surveying can be largely mitigated. What matters when introducing it is not whether it can do everything on its own, but clearly defining which parts of existing workflows it will replace and which it will complement.

Practical points to confirm before implementation

Before introducing drone surveying, it is important to check not only the quality of the technology but also its compatibility with your company's workflows. The first thing to consider is the purpose: what are you measuring for? The required deliverables change depending on whether it is for understanding current conditions, verifying as-built results, or comparing against design. If you introduce it with an unclear purpose, you may end up with more collected data that the field cannot fully use.

Next, it is essential to clarify the required accuracy. In situations that demand high precision, the design must include standards management and verification processes. Conversely, if the main purpose is to get an overview or share progress, an overly burdensome operational approach may be unnecessary. By deciding in advance what level of results, at what frequency, and who will use them, you can design operations that are feasible.

Furthermore, confirming the post-processing structure is also important. Whether the flight operator, analyst, and reviewer are separate people or a single person handles the entire sequence changes the training required and the operational rules. Deciding even the small details—data storage rules, naming of deliverables, and methods for sharing with stakeholders—can reduce confusion after implementation. On site, what matters more than what is technically possible is what can be run continuously.

And it is also important to prepare alternative measures according to site conditions. If you consider in advance how to respond to bad-weather days, locations that are difficult to fly in, and heavily obstructed areas, you will be better able to avoid schedule delays and quality shortfalls. Drone surveying is not a technology that automatically becomes more efficient once implemented; its outcomes are determined by planning and operations. Just keeping this premise in mind will greatly reduce the likelihood of failure.

Summary

The drawbacks of drone surveying can be summarized in five points: susceptibility to weather and site conditions; limited effectiveness in areas that are not visible; the need for ground work and control management to ensure accuracy; the burden of safety management and compliance with flight rules; and the time-consuming nature of data processing and deliverable production. Each of these is often overlooked before implementation, yet they are very important issues in practice.

However, these weaknesses are not reasons to dismiss drone surveying. On the contrary, if you understand the weaknesses and determine the appropriate scope of application, it is a method that can greatly contribute to improving on-site productivity. It is extremely effective for capturing current conditions as surface representations, comparing multiple points in time, and efficiently recording wide areas. The important thing is not to expect it to be an all-purpose replacement, but to determine where it will be most effective within existing surveying and construction management workflows.

What is truly needed on site is not merely the ability to fly a drone, but the ability to translate the necessary locations into deliverables with the required accuracy and in the required form. In that sense, introducing drone surveying does not end with equipment selection; it requires consideration of the handling of positioning information, coordination with ground operations, and how the results will be utilized.

If you want to connect data acquired by drones with high-precision ground positioning more smoothly, and make on-site coordinate acquisition and simple surveying more efficient, considering combining an iPhone-mounted GNSS high-precision positioning device like LRTK can be effective. By linking aerial, area-wide understanding with high-precision position verification on the ground, you can compensate for the weaknesses of drone surveying while making overall site operations easier to organize in a more practical way. When deciding on adoption, it is important to correctly understand not only the benefits but also the drawbacks, and to consider the optimal combination that fits your company’s sites.