Tag: Photogrammetry

01 Jun 2020
Aerial Map For Topographic Survey

Topographic Survey Using Drone Photogrammetry a Case Study

We were invited by a local council to demonstrate our aerial topographic survey capabilities for a small culvert project. This was challenging as the route passed through particularly dense tree coverage. Typically multi return LiDAR would offer better penetration to identify true surface through vegetation and is typically chosen in this situation (See our article comparing Photogrammetry and LiDAR). In this instance we wanted to show photogrammetry as a valid option during winter months which would have a much smaller cost to the client over LiDAR data collection (typically costing thousands a day). The survey manager was specifically interested in a topographic drone survey to see how this compared with existing measurements of the site. The culvert ran next to an existing tarmac walkway under some small tree’s densely packed together.

A processed orthomosaic of the 400m long site taken in February 2020.

The Survey

In February we returned to site to conduct the survey. This was to be a geo-referenced survey and we chose to use ground control points and manually collect their locations using a survey pole and base station for later post-processing.

Our department has a small project updating areas which will effect council housing due to surface water flooding. The project has identified a number of locations, one of them was the site of interest. Originally we were looking to open a culverted watercourse and turn it into a stream. The site was very difficult as it was a mixture of old trees along a path and an area of scrub with very young smaller trees. Conventional surveying couldn’t pick up enough detail of the trees, so we tried a scanning technique. But due to the amount of traffic along the path, and someone moving the registration points the project was not successful in picking up enough information.

Council Surveyor

Firstly, the base station was set up to collect satellite data for 2 hours. In this case we used the Emlid Reach RS GNSS that we use for our own RTK drone setup. However, typically we use which ever survey equipment clients prefer such as those from Leica and Trimble. In our test we knew the accuracy of the Emlid would still be several magnitudes better than the accuracy of positioning information available from the drone. We laid out 12 ground control points along the length of the route with square/diamond patterns indicating the center point. Tthe position was then taken from this point with the rover pole and later tagged in the drone imagery.

GCP’s along the route to georeference the point cloud with some used as validation points.

In this case since the mission was a demonstration and close to residential property so we chose to use the DJI Mavic 2 Pro. Typically we would use a drone platform with higher image quality such as the DJI Matrice or heavy lift drone with a full frame camera. For mission planning we chose Drone Deploy with a one pass Nadir grid with standard settings at a low altitude of 20m. The mission was flow collecting 199 images of 5472×3648 resolution. Some blurring was observed due to poor winter light. After the mission was flow we measured the position of the GCPs before clearing up.

We then chose a new route. Drone surveying has been around for a while, so we though we would try it in this instance. The actual survey took a very short time for the initial pass. 15 minutes compared to around 2-3 days of conventional surveying. The data received was a contoured map, point data, and a graphical tiff. This allowed us to analysis the area without trees and see if we are able to reinstate the burn which originally ran through the site. Unfortunately the decision was made from this data that the project wouldn’t go ahead, saving a costly exercise.I would say though if a large or dangerous area is required then I would always look to survey by drone, it gives a very quick and very safe result.

Council Surveyor

Drone Survey Data Processing

Later the survey data was post processed using RTKLib and local RiNEX data to provide accurate positions of each GCPs. This provided an accuracy beter than 2cm X,Y and under 4cm in height. The images and GCP locations were input into Pix4D and the mission processed to obtain a classified point cloud, DEM, DTM, mesh model and contour map as show below. This had an ground sampling accuracy of 0.81cm/px over the area of 2.47ha. The absolute camera position uncertainties X,Y,Z(sigma) were 0.112(0.021), 0.317(0.028) ,0.71(0.051)m. The error of a couple of the GCP measurements was high as the rover had poor line of sight to the base station on the hill through vegetation.

Rendered DSM with contour map overlay derived from Pix4D.

From the results we observed holes in the point cloud due to the dense wood branches over the pathway. This led to a poor contour model as seen below. This was disappointing but highlighted the importance of planning in accordance with the task which Drone Deploy alone didn’t consider.

Improved 3D Survey Model

We returned and manually flew and acquired photos around the problematic area this time taking additional oblique images perpendicular to the walkway. Processing these images provided an improved point cloud with the walk way visible through the trees to measure the topography along the route.

Classified point cloud derived from oblique images with vegetation.

Extra processing was done to classify the point cloud this time so that high vegetation could be classified and removed from the point cloud to provide a more accurate DSM for measurement and topographical contour creation.

Classified point cloud derived from oblique images with high vegetation removed.

This example from the earlier batch of processing without point cloud classification and high vegetation removal shows peaks along the DSM profile. The profile was much more accurate after point cloud classification.

Profile derived from the DSM along the proposed culvert route used to determine if the run off is sufficient.

The methods of surveying from 5 years ago, have improved with improved usability and accuracy. From the humble total station, GPS surveying equipment, lidar, scanning equipment and now drones we now have a range of tools to suit most applications. There is still a place for all types of surveying and the appropriate tools have to be picked for the application. i.e. a Total station can be used under tree cover GPS surveying equipment cannot. Drones can be used for quick large scale surveys i.e. quarries but wouldn’t be used for setting out a building where tolerances need to be within mm.

Council Surveyor

Our conclusion is that during winter months photogrammetry can provide actionable topographic survey data over woodlands, an area where LiDAR is typically required. With anticipated or non essential delivery schedules this can provide huge financial savings. Sky Tech are happy to work with local surveyors on projects such as this where drones can provide more rapid data collection over convential site walks. Please get in touch if you would like to work with us:

Quick video overview of the outputs from the topographical survey.
24 Feb 2020
Topographic Survey of Quarry

Construction Drone LiDAR and Photogrammetry Compared

This article covers the state of the art in drone LiDAR and photogrammetry to capture 3D information for survey and construction. The advantages of each method will be covered in terms of accuracy, complexity and cost. Using drones for survey offers huge time savings over manual measurement on the ground. The data recorded can be processed and used for asset classification, validation as well as health and safety. The ease of use means that regular scanning can take place providing a time series as work progresses. This can be used to monitor progress, detect issues as they arise, improve management and reduce risk.

Drones For Surveying

Construction drones can assist in planning stages providing anything from aerial photographs, video to more complex modelling using LiDAR. Aerial photography of a site in the landscape is useful for architects and planners to conceptualise how the new development will look in it’s end setting. This is also possible with sophisticated video tools. An easier approach is to use photogrammetry and/or LiDAR to create a 3D model (mesh) of the larger area. Within architectural software the new building would be added. From here virtual fly throughs can be created of how the completed site will look. The point clouds derived from Photogrammetry and LiDAR mapping can be used to build a digital terrain model (DTM) or digital surface model (DSM). This forms part of creating a topographical survey of the area for flood assessment, scrap and fill operations, laying out the site and planning foundations along with wider geotechnical subsurface survey.

Result of topographic mapping using a drone.

Drones For Construction

The constuction industry is now widely adopting building information modeling (BIM). A concept within this is the digital twin where every element of a building has a digital representation down to the last screw and fitting. From a construction point of view BIM provides less friction between trades from quoting to assembly as each step of design and construction is laid out ahead of time.

Aside from survey operations, during the construction phase drones can be used to provide an overview of the site to monitor progress, foundations, build, stockpiles, bottle necks as equipment/stock is moved around and overall safety. As construction progresses drone imagery can be used to create 3D models with millimeter measurement accuracy to verify what has been built at each stage matches the digital model.

What Is LiDAR?

Light Detection And Ranging (LiDAR) is a method of measurement using a pulsed laser and sensor. As a spot on the ground is illuminated the difference in reflected light return time and wavelength is measured. A LiDAR scanner system typical fires thousands of pulses per second. The raw data is typically processed and georeferenced into a 3D visualisation know as a point cloud. These sensors are split into two categories: spinning prism with 360 degree coverage or phased array with a narrower field of view.

What Is Photogrammetry?

Photogrammetry is a method to obtain, record and measure a series of images to produce three dimensional information. Photogrammetry uses projective geometry theory and camera parameters such as angle, bearing, focal length, sensor size etc. All this information is cleverly combined to create 3D information. One aspect that closely flows LiDAR is the use of key matching points (the same point identified on separate images to create a point cloud.

LiDAR and Photogrammetry Coverage

Before LiDAR and Photogrammetry workflow is covered, firstly the common area of mission planning is discussed. To create a topographical map or 3D model it is necessary to scan in a predetermined grid or pattern that allows sufficient coverage and overlap of the area. DJI have made it easy for other companies to control their drones by releasing a developer kit. Popular apps include DJI Mission Planner, Drone Deploy, Hammer and Pix4D Capture. The open source equivalent PX4 used in custom drones also has mission planning software from UGCS, Auterion, Ardupilot and QGroundControl.

Example drone LiDAR system by Phoenix.

LiDAR Workflow

Velodyne has dominated the LiDAR sensor market and appears in several drone LiDAR solutions from Route Scene, Yellow Scan and Phoenix UAV among others. These typically have an accuracy of +/- 2cm at 80-100m range. Along side the sensor these drone LiDAR solutions make the addition of a very sensitive IMU and RTK sensor for global positioning. The combination of all the system components is considerable, requiring a heavy lift drone platform with a relatively short flight time over using just a camera. The best systems also include a full frame DSLR camera as well.

Drone LiDAR requires scanning with significant enough overlap to capture common scan returns. For mapping LiDAR would be captured in a grid pattern from a set height. For modelling a building LiDAR would be captured in an orbit at different heights.

After flight further data processing is required, combining multiple laser returns, IMU position and satellite position to create a precise geo located point cloud. This is computationally demanding to align multiple returns into the final point cloud. The chosen output is closely tied to the selected industry be it construction or land survey. In construction software such as Autodesk and Solidworks are used. These have a growing role in BIM for design validation during construction using interior and exterior LiDAR scanning. In land survey QGIS, Global Mapper and QGIS now have LiDAR modules.

Photogrammetry Workflow

Photogrammetry with drones requires certain camera parameters and capture methods. Camera metadata parameters must be know such as sensor size, pixel count, focal length, shutter type, tilt, bearing, roll and latitude and longitude. This information is contained in photographs taken from most off the shelf drones. In special cases external large format cameras with global shutters and very high pixel count are desirable such as the Sony A7 or Phase One.

Example of 3D model created using Photogrammetry with original images shown.

Photogrammetry requires images to be captured in sequence and with significant enough overlap to capture common keypoints. For mapping images would be captured in a grid pattern from a set height. For modelling a building images would be captured in an orbit at different heights.

In turn for their small size, low cost and ease of use, DJI drones cameras have lower quality images than full frame cameras. Drones such as the DJI Phantom 4 Pro and DJI Inspire 2 can still provide excellent results as long as lighting is correct at the time of survey. The accuracy of photogrammetry relative to the sensor size and height and known as Ground Sampling Distance (GSD). This is proportional to the height the drone is flown. Higher accuracy at lower altitude is a trade off in longer flight times to cover a tighter grid to maintain overlap.

Photogrammetry processing is more computationally demanding than drone LiDAR requiring a high spec PC with additional GPU power. Major software distributers include Agisoft Metashape, Pix4D and Reality Capture. Each has it’s merits for survey or 3D modelling. Some even combine LiDAR and photogrammetry to improve results.

LiDAR scan of building facade.

Does Drone LiDAR Provide More Accurate Measurement Than Photogrammetry?

It is difficult to discuss the merits of each as there are several ways to obtain accurate position. Ground Control Points are widely used in aerial survey but are more tangible for Photogrammetry to use. These are simply artificial boards 1m squared or larger with a target painted on. Survey equipment is used to measure the center point and hence tie the recorded digital map back to set geological coordinates.

Drone LiDAR and Photogrammetry positioning relies firstly on GPS. This provides accuracy down to 5m enough for flight planning. Exact geotagging requires sub centimetre accuracy during flight and more satellite information is needed. Real Time Kinetic (RTK) is one method using a drone base station to transmit satellite corrections to the drone over a correction network. Post Processed Kinematic (PPK) is another alternative where network access in the wilds isn’t always possible. This takes all the information from the drone, base station and corrects it using a local correction station.

The accuracy of drone LiDAR and Photogrammetry using the positioning methods above should be comparable in favorable circumstances. LiDAR is limited by the spot size of the laser, Photogrammetry by the number of key point matches. For smooth areas such as water, snow or concrete photogrammetry will loose resolution.

Example of photogrammetry losing detail over dense trees.

Does LiDAR Provide Better Quality Results Than Photogrammetry

LiDAR sensors benefit from having multiple returns allowing the laser to pass through light foliage to measure true surface level. Photogrammetry in this case has less resolution returning only the terrain height from hedges, trees and grass. Software can help this issue to an extent by classifying the point cloud and removing the higher areas classified as foliage to get closer to the true surface level.

An immediate draw back of LiDAR is that true colour is not captured and a limited colour pallet is available. This limits it use alone when creating photorealistic aerial maps and 3D models. LiDAR has problems with very black surfaces which absorb the laser light or reflective surfaces which scatter it.

Comparison of LiDAR and Photogrammetry

LiDARPhotogrammetry
Cost£200-300K for drone, ground station and dedicated software.£2-100K drone from low quality Mavic 2 to heavy lift with gigapixel camera.
Hire AvailabilityFew specialist operators.Lots of operators to choose from.
ProcessingSpecialist software to compute georeferenced point cloud.Lots of options, dedicated PC required.
Accuracy1-2cm vertical, 2cm horizontal at 100m.2-3cm vertical, 1cm horizontal depending on camera resolution.
AdvantagesLaser technology understood by industry. Vegetation less of a problem.Lots of drone options. Easy to use software.
DisadvantagesExpensive technology with limited access thats hard to use. Limited colour palette.Requires good light, poor in shadows of smooth areas. Accuracy poor without RTK or GCPs.
Outputs3D point clouds with return information suitable of classification.2D maps, 3D models, point clouds surface models with visual detail.
Use CasesTerrain modelling, 3D modelling of complex structures, steel, pipes.Mapping, survey, ground work, BIM, inventory managment.

Conclusion

The best solution is to combine both LiDAR and Photogrammetry methods to compensate for the short comings. Each has it’s merits depending on use, budget and schedule. It comes down to understanding these and knowing in what application each method has it’s strength and weakness. This will be covered in a series of upcoming case studies. The cost of LiDAR will continue to drop in the near future. Processing will also become more and more sophisticated with increasingly transparent to understand deliverables.

In construction for BIM, asset classification and tracking Sky Tech Limited can provide accurate survey and 3D models using drones to meet you needs, contact us today:

References