In drone survey missions, the selection between photogrammetry and LIDAR relies upon closely on the precise utility. You additionally want to think about operational components, akin to price and complexity. Realizing what outputs you actually need will enable you make the best choice.
What’s LIDAR and the way does its output evaluate with outcomes obtained with high-resolution RGB cameras and photogrammetry? On this article, we’ll discover the methods photogrammetry and LIDAR are literally fairly totally different from one another, even when their three-dimensional (3D) outputs look related. We’ll then dig deeper into particular functions and the way photogrammetry can present distinctive outcomes for many missions at a fraction of the associated fee and complexity of LIDAR.
Photogrammetry {and professional}, high-resolution cameras can cost-effectively generate 2D and 3D surveys, with absolute accuracies all the way down to 1 cm (0.4 in) root imply sq. (RMS) horizontal and three cm (1.6 in) RMS vertical.
How Photogrammetry Works
In photogrammetry, a drone captures numerous high-resolution photographs over an space. These pictures overlap such that the identical level on the bottom is seen in a number of photographs and from totally different vantage factors. In an analogous means that the human mind makes use of info from each eyes to offer depth notion, photogrammetry makes use of these a number of vantage factors in pictures to generate a 3D map.
The outcome: a high-resolution 3D reconstruction that accommodates not solely elevation/top info, but in addition texture, form, and colour for each level on the map, enabling simpler interpretation of the ensuing 3D level cloud.
Drone methods that use photogrammetry are price efficient and supply excellent flexibility when it comes to the place, when, and the way you seize 2D and 3D information.

The WingtraOne vertical take-off and touchdown (VTOL) drone permits customers to conduct small- and large-scale drone surveys with unmatched information high quality at a fraction of the time and price of a crewed plane.
HOW LIDAR WORKS
LIDAR, which stands for “mild detection and ranging,” is a expertise that has been round for a lot of many years however has solely lately been accessible in a dimension and energy possible for carrying on massive drones. A LIDAR sensor sends out pulses of laser mild and measures the precise time it takes for these pulses to return as they bounce from the bottom. It additionally measures the depth of that reflection.
LIDAR makes use of oscillating mirrors to ship out laser pulses in lots of instructions in order to generate a “sheet” of sunshine because the drone strikes ahead. By means of measuring the timing and depth of the returning pulses, it will probably present readings of the terrain and of factors on the bottom.
The sensor itself is just one a part of a LIDAR system. Critically necessary for capturing usable information, you’ll additionally want a high-precision satellite tv for pc positioning system (GNSS) in addition to high-accuracy sensors to find out the orientation of the LIDAR sensor in area—an inertial measurement unit (IMU). All of those high-end subsystems should work in good orchestration to allow processing of the uncooked information into usable info, a course of referred to as direct geo-referencing.
Because the sensors have advanced, there’s now the choice to seize aerial LIDAR information from one in all two varieties of methods: classical manned airborne and light-weight UAV.
Classical airborne LIDAR surveys are carried out from a crewed airplane and are much less correct however able to protecting extra floor than light-weight UAV LIDAR operations. Particularly, you possibly can cowl between 10 and 1,000 sq. kilometers (4 and 400 sq. miles) in a single flight. Absolutely the accuracy depends upon the flight top and sensor alternative. At a typical flight top of two,000 meters (6,600 ft) above floor degree (AGL), you possibly can count on an absolute accuracy restrict of about 20 cm (8 inches) horizontal and 10 cm (4 inches) vertical.
Light-weight drone LIDAR methods cowl as a lot because the drone permits per flight. As we are going to focus on intimately in under sections, these methods might be extra correct than these carried by manned plane. Particularly, fixed-wing drones carrying a LIDAR payload can cowl as much as 10 sq. km (4 sq. miles) in a flight, with absolute accuracy limits proper round 10 cm (4 inches) horizontal and 5 cm (2 inches) vertical.
In each circumstances of crewed plane and light-weight drone LIDAR, the accuracy is considerably lower than photogrammetry avails. Plus the post-processing for LIDAR completely requires experience past a fast coaching or studying of a guide, as we’ll focus on under.

A WingtraOne UAV outfitted with a LIDAR sensor can create correct 3D fashions with 2 to three cm (0.8 to 1.2 in) of vertical accuracy. These fashions can be utilized for exact volumetric calculations throughout a lot of industries.
ACCURACY CONSIDERATIONS
As we’ve seen, photogrammetry and aerial LIDAR differ in the way in which factors on the bottom are registered. This immediately impacts the ultimate level cloud accuracy and we are going to see that, particularly for horizontal accuracy of areas free from dense forest cover, photogrammetry clearly outperforms aerial LIDAR.
Photogrammetry. Within the case of photogrammetry, a top quality, high-resolution, full-frame sensor digicam like WingtraOne’s Sony RX1R II can yield outputs with horizontal (x-y) accuracies within the vary of 1 cm (0.4 in) and elevation (z) accuracies within the vary of two to three cm (0.8 to 1.2 inches) over onerous surfaces, enabling exact volumetric evaluation.
Notice, nonetheless, that with a purpose to obtain such efficiency the payload used for photogrammetry have to be knowledgeable one, with the best picture sensor and lens to seize extra element. It’s not simply in regards to the variety of pixels. The truth is, two cameras with the identical variety of megapixels and totally different dimension sensors present totally different picture high quality and accuracy.
Correct mission planning and post-processing are additionally necessary for reaching optimum accuracy: good overlap amongst pictures will increase accuracy and supplies higher error correction in comparison with full reliance on the direct geo-referencing technique utilized in LIDAR. A high-end drone system with skilled mission planning and post-processing workflow helps make sure that you seize high quality information that generates correct outcomes.
LIDAR. As for aerial LIDAR strategies, the sensor doesn’t goal particular options on floor however as a substitute shoots the beams at a set frequency in an outlined sample. Even when the horizontal accuracy of the only level could be increased, the very best horizontal accuracy of a focal point on the bottom is restricted by the purpose density.
Crewed aerial LIDAR can present a degree density of as much as 50 factors per sq. meter and presents a typical absolute accuracy of 20 cm horizontal and 10 cm vertical if flown at a normal top of two,000 meters (6,600 ft) AGL.
By flying decrease, light-weight UAV LIDAR supplies a better level density than crewed aerial LIDAR and might obtain higher accuracy regardless that the laser is much less highly effective. Mounted on a multicopter, level density and the ensuing level cloud accuracy might be improved by flying low and gradual on the expense of decreased effectivity.
Within the case of LIDAR on fixed-wing drones, a degree density between 50 and 200 factors per sq. meter is feasible. This implies a measurement each ~ 10 cm, so an absolute horizontal accuracy of about 10 cm might be achieved.
On high of restricted horizontal accuracy, LIDAR-derived level cloud accuracy depends upon the precision of the LIDAR itself and the standard of the INS (IMU and GNSS) system. Contemplating all technological developments and system variables at the moment, the standard absolute accuracy which you could count on from a light-weight LIDAR system on a fixed-wing drone is roughly 10 cm (4 inches) horizontal and 5 cm (2 inches) vertical.

Whereas LIDAR can present extra element beneath denser vegetation, each photogrammetry (decrease graph) and LIDAR (high graph) can generate terrain fashions beneath sparse vegetation the place the bottom is partially seen from the air. (The information proven on this graphic was captured at 30 meters above the bottom.)
Photogrammetry and LIDAR Functions
For many missions, 3D outcomes achievable with photogrammetry are just like these obtained with LIDAR, however with higher accuracy and better versatility, e.g., photorealistic outputs, due to the high-resolution visible information. There are some functions—particularly that includes energy strains or massive areas of dense forest cover—the place the upper expense of LIDAR for airborne missions is justified. Let’s take a look at the proof for this throughout a variety of precise functions.
Topographical maps that includes mild vegetation (sparse tree stands or open cover) are greatest surveyed with high-resolution RGB information seize. The decision and photorealistic outcomes are helpful in circumstances like wildfire administration in residential areas and have been utilized by a number of the world’s largest city hearth and rescue companies for the reason that info serves many stakeholders who want an actual view of what’s occurred.
Topographical maps with medium vegetation might be obtained through a mix of photogrammetry and a way to seize the bottom under the vegetation. To seize the extra info under the vegetation, floor survey strategies or aerial LIDAR can be utilized. The mix with floor survey strategies retains the worth down whereas guaranteeing excessive accuracy plus the decision and photorealistic outcomes accessible via photogrammetry.
Whereas LIDAR can present extra element beneath denser vegetation, each photogrammetry and LIDAR can generate terrain fashions beneath sparse vegetation the place the bottom is partially seen from the air.
Massive-scale topographical maps that includes heavy vegetation are greatest acquired through manned airborne LIDAR. A digital terrain mannequin (DTM) of the forest floor supplies helpful info for venture planning in development (e.g., the planning of recent roads), forest biomass or detailed info on vegetation and habitats through topography and underlying terrain, functions falling underneath these circumstances will all the time require LIDAR at the least partially to normalize topographical information.
Usually, state companies attempt to preserve moderately correct digital terrain fashions (DTMs) of the forest grounds. For these sorts of large-scale tasks with low decision necessities, manned airborne LIDAR is probably the most cost-effective choice accessible. If a extra correct or up-to-date DTM of a small forest is required, a standard floor survey would be the least expensive choice accessible, but light-weight drone LIDAR may fill a distinct segment in-between.
Naked-earth mining, volumetric and pure useful resource surveys are greatest dealt with by high-end RGB payloads. Even large surveys are excellent with the best drone and RGB digicam. On high of this, photogrammetry is price efficient and saves time not solely to seize and course of information associated to chop and fill volumes, stockpile assessments and standing studies, but in addition to share this info and reconcile with contractors and stakeholders.
Energy line surveys for vegetation management might be achieved with LIDAR or high-resolution photogrammetry and powerline extraction options on software program like Pix4Dsurvey. For the sake of photorealism, worth, and workflow, I like to recommend the latter choice. Analysis is ongoing round photogrammetry as a go-to, cost-effective answer.
Powerline pole tower inspection advantages from dwell video inspection with a multicopter carrying an RGB or thermal payload. These are often comparatively small areas that multicopters can maneuver round and take indirect pictures of simply and safely. With this technique, you get all info inside a really quick period of time. Zoom cameras permit detailed inspection that can not be provided by photogrammetry or LIDAR..
Rail observe inspection continues to be most frequently carried out from the bottom—by a practice outfitted with ultrasonic, LIDAR, and visible sensors. Inspection from the air with both photogrammetry or aerial LIDAR is gaining increasingly curiosity however each strategies are in early phases. Excessive-resolution photogrammetry presents information that avails outputs with the entire important particulars precisely and autonomously whereas saving time. Plus the photorealism provides a component of straightforward identification and flexibility that may reply to a variety of questions.
Metropolis mapping with vertical constructions requiring 3D vantage factors has been extensively demonstrated with photogrammetry based mostly on imagery captured with a payload that includes indirect capabilities. For cityscapes with many high-rises and intense ranges of vertical element, multicopters work properly, though their capability to cowl wide-spread areas per flight is compromised. VTOL drones carrying indirect payloads can nonetheless seize huge areas and obtain spectacular vertical accuracy.
Operational issues
The distinction between photogrammetry and LIDAR grows when contemplating operational and logistical components. To generate high quality outcomes, a LIDAR system requires all of its parts to work completely in sync. Small gaps or errors in sensor measurements can result in important errors in outputs. Or worse, outputs that “look” proper however should not. Strategies like floor management factors (GCPs), that are helpful in photogrammetry to right points, are more durable to implement with LIDAR. More often than not, the one answer for faulty LIDAR information is to repeat flights.
LIDAR tasks require an skilled who understands the workflow and particulars of every subsystem and might acknowledge constant and correct information.
In distinction, photogrammetry-based workflows are extra forgiving. The redundancy created by a number of, overlapping pictures of the identical level on the bottom allows error correction throughout processing and interprets to high-accuracy outputs, even in non-ideal situations or operations. The shorter studying curve for drone-based photogrammetry (even for operators with no prior expertise), results in better flexibility and cost-effectiveness.
The benefit of use of photogrammetry options just like the WingtraOne interprets into better operational flexibility, the power to deploy a number of methods to cowl distributed websites, better frequency of captures, and general decreased prices.

Photogrammetry permits the creation of correct 3D maps of enormous areas. Photogrammetry outputs additionally embody high-resolution visible information in full colour for each level on the map to help within the interpretation.
Last ideas
We’ve got explored the variations between how photogrammetry and LIDAR work and the similarities of their outputs and realized about conditions the place every expertise might be greatest utilized. And whereas some particular functions may justify the associated fee and complexity of LIDAR, photogrammetry can meet many of the on a regular basis challenges introduced throughout a variety of tasks and industries, offering distinctive accuracy and stunningly detailed maps, accessible on demand and with minimal experience overhead.
So in case you don’t want what LIDAR uniquely supplies—particularly to mid- or large-scale forests with heavy however penetrable cover—you are able to do extra utilizing photogrammetry coupled with knowledgeable drone for considerably much less cash and complexity.