A coastal area in Ireland being mapped by a drone

Mapping coastal sites Mapping coastal sites around Ireland using a drone

Overview

The Job at a Glance

Photogrammetric and LiDAR survey of 17 coastal sites across Ireland, mapping 350 hectares of potential offshore cable landfall sites — with survey-grade ground control and a 7-item deliverable package per site.

17 sites across Ireland

350 hectares mapped across diverse coastal terrain — photogrammetry for open ground, LiDAR for vegetated areas.

Staggered field deployment

Sites captured in batches, with tidal timing factored in for each location to ensure maximum coverage of the coastal zone.

Survey-grade accuracy

Multiple GCPs deployed on every site — accuracy validated to ±50mm hard detail and ±100mm soft detail.

7 deliverables per site

Orthophoto, 2D/3D contour map, point cloud, grid of points, TIN file, PDF summary, and technical report — for all 17 sites.

Comparative methodology

Why they chose us

This project required mapping 17 distributed coastal sites for offshore cable landfall assessment. Traditional survey approaches were too costly and time-consuming at this scale, so a drone-led workflow delivered high-quality data efficiently across varied terrain.

Coverage scale
17 sites / 350 hectares vs fragmented ground campaigns

Distributed coastal locations were captured in planned batches, with deployment adjusted by site size and location.

Terrain adaptability
P1 + L1 payload strategy vs single-method capture

Photogrammetry was used for open ground, while LiDAR was deployed where vegetation required bare-earth modelling.

Decision-ready outputs
7 deliverables per site vs slower manual consolidation

Each site was delivered with structured outputs from orthophoto through technical reporting, supported by quality controls.

Efficient option Our method

Using a drone

This is what the job looked like using drone technology.

  • Large-area coastal mapping made practical The team efficiently mapped 17 sites around the country, covering 350 hectares across varied coastal terrain.
  • Flexible sensor selection by terrain Zenmuse P1 photogrammetry handled most sites, while Zenmuse L1 LiDAR was used where vegetation required penetration to bare earth.
  • Survey-grade accuracy with GCP control Multiple ground control points were deployed on every site, with accuracy requirements of +/- 50mm for hard detail and +/- 100mm for soft detail.
  • Field capture aligned to tide and conditions Data capture was scheduled around low tide and validated against weather, cloud cover, and shadow conditions before each deployment.
  • Consistent deliverables for high-stakes decisions Each site received a full package including orthophoto, contours, point cloud, grid, TIN, PDF summary, and technical report.
Project status Mapped, processed, and delivered
Manned approach Traditional method

Without a drone

What the job would have looked like without drone technology.

  • Higher cost and longer programme The article notes traditional methods were both costly and time-consuming for this scale of coastal assessment.
  • Harder logistics across distributed sites With many sites around the country, stakeholder and landowner coordination would remain, but data capture would be less efficient.
  • Reduced flexibility in mixed terrain Combining open ground and vegetated coastal zones is more difficult without adaptable aerial sensor workflows.
  • Slower route to decision-ready outputs Producing orthophotos, contour products, and technical reporting across all sites would generally require more time and resource.
Operational impact Slower and more resource-intensive
Overview

Coastal site mapping using the latest in drone technology

We were asked by a client if we could map a series of coastal sites to assess their potential as a landfall sites for offshore cables. Trying to get accurate data on such sites using traditional methods was both costly and time consuming so drone based surveying was the clear solution. Our experience coupled with our state of the art drone technology allowed us to efficiently map 17 different coastal sites around the country. Lets take a look at how we did this...

Brief

Offshore cable landfall assessment

The client for this job is a major firm in the offshore development sector. They needed high quality data on which they could make decisions that had millions of euros at stake. Specifically, they needed each of the 17 sites mapped for offshore cable landfall assessment, with outputs including orthophotos, 2D/3D contour mapping, point clouds, grid points, TIN surfaces, PDF summaries, and a technical report. They also required survey tolerances of +/- 50mm on hard details and +/- 100mm on soft details. For this reason a full quality management plan was implemented to ensure data integrity from start to finish.

A LIDAR point cloud of a coastal site showing the differences in elevation of the land
One of the deliverables of this project: A LIDAR point cloud of a coastal site showing the differences in elevation of the land.
Preparation

Engaging with landowners and stakeholders

Once the final deliverables specification was established we then moved on to ensure an efficient field work program. A key factor in this job was stakeholder engagement. Since we would be mapping many sites around the country there would be a lot of landowners and other stakeholders to engage with. It is our policy to always have direct contact with an agent on the ground where possible as this avoids confusion on site as to why we are there. With this job there was a number of sites that had to be accessed so landowner engagement started early in the process.

Equipment

Drone Selection

This shows the type of drone we used on this project. The DJI M300 with the Zenmuse P1 payload.
This shows the type of drone we used on this project. The DJI M300 with the Zenmuse P1 payload.

Once we were happy with the field logistics we then turned our attention to drone selection. Since most of the sites were in remote locations away from built-up areas we could deploy larger drones like the DJI M300. This gave us the option to use different sensor types depending on the terrain we encountered. This was important because we had to map 350 hectares on this project which is a small number relatively speaking (we can fly that on a single block site in a day if required) when spread across 17 sites around the country the logistics start to really matter. For most of the site we chose to use photogrammetry using the Zenmuse P1 Photogrammetry payload. For some site where there was significant vegetation we also employed the Zenmuse L1 LIDAR payload to penetrate under the vegetation to gte a true bare earth model of the land.

A typical view form the drone on this coastal mapping project showing a rocky coastline and the sea next to it. Note the amount of detail that shows through the water.
A typical view from the drone on this coastal mapping project showing a rocky coastline and the sea next to it. Note the amount of detail that shows through the water.
Survey accuracy

Ground Control Points

To ensure a high level of accuracy and precision on this project we deployed multiple GCP's on every site. Using large LIDAR compatible GCP's meant we could ensure our data was properly ground truthed and correct. No matter what the drone companies tell you GCP's are always essential if you want to make anything other than pretty pictures out of your data.

Another image straight from the drone of a beach coastal area surrounded by low lying rocky cliffs. If you look closely you can make out the two black and white GCP's located either end of the beach in the tidal zone close to the high time line.
Another image straight from the drone of a beach coastal area surrounded by low lying rocky cliffs. If you look closely you can make out the two black and white GCP's located either end of the beach in the tidal zone close to the high time line.
Field Work

Capturing 2-3 sites per day

Our team deployed based on site location and size. Sometimes capturing two or three sites in a day and sometimes only getting the GCP's done for one site in a day.Each time we deployed we made sure to assess all factors that may effect the data including weather, cloud cover and time of day (for shadowing) equipment condition and more. The team also had to be mindful of the tides, as they needed to capture images of the coastline at low tide to get an accurate view of the tidal zone. By keeping a good eye on all aspects of the job before commencing data collection we could ensure that everything went smoothly in the field.

One of the team out setting ground control points on this project. Ground control is an essential element of any drone land mapping operation. It takes time to execute but is worth it in the long run.
One of the team out setting ground control points on this project. Ground control is an essential element of any drone land mapping operation. It takes time to execute but is worth it in the long run.

One of the key benefits of using a drone for this study was the ability to capture high-quality data of the coastline from above. The drone was able to fly at a relatively low altitude, which allowed it to capture detailed images of the coastline and the surrounding landscape. The images were then processed using photogrammetry software to create 3D models of the coastline.

A typical image from the drone on this project showing a rocky coastal area adjoining some scrubland.
A typical image from the drone on this project showing a rocky coastal area adjoining some scrubland.

In this type of data capture manually flying the drone have very limited use. For this reason it was important for us to have a good digital representations of all our target areas. This is typically done through KML/KMZ files which we then use to generate the automatic flight profiles. The flight profiles are built using the best photogrammetric practices with particular attention to such items as GSD, Overlap and terrain. Once the profiles were built executing them in the field was a straightforward process.

Outputs

Processing and Deliverables

Once all field work was complete we turned our attention to processing the data into useful deliverables. Since the client required a variety of deliverables from raw data to fully processed CAD drawings we had to employ a variety of processes and software to generate the data. We always start witht eh highest quality base data we can generate then work from there. The idea being if the base data is of high quality then so will all subsequent sub data types. If we start with poor quality base data we will produce rubbish down the road.

One of the deliverables of this project: A PDF summary showing the Orthophoto along with the CAD vectorised data including items like hard surfaces and contour lines.
One of the deliverables of this project: A PDF summary showing the Orthophoto along with the CAD vectorised data including items like hard surfaces and contour lines.

Deliverables (of each site)

Orthophoto

A georeferenced aerial photograph of each site at 1cm ground sample distance — publication-quality detail for desktop analysis.

2D and 3D contour map

Full contour mapping of each site delivered in .DWG format, ready for import into CAD and GIS workflows.

Point cloud

Classified point cloud data in .LAZ format, including bare-earth returns from LIDAR where dense vegetation required penetration.

Grid of points

A regular grid of spot heights across each site, suitable for volume calculations and surface comparison over time.

TIN file

A triangulated irregular network surface model for precise terrain analysis and 3D visualisation of each coastal site.

PDF summary

A site-level PDF showing the orthophoto alongside vectorised CAD data, including hard surfaces and contour lines.

Technical report

A full data acquisition and quality management report documenting flight parameters, GCP results, and accuracy validation for each site.

Outcome

Vast area covered in minimal time

A major benefit of using a drone for this study was the ability to cover a large area quickly and efficiently. The distributed nature of the selected sites under study meant it would have been impractical to survey the area using traditional methods. The drone was the obvious choice and was able to map each are in just a few flights, which saved time and resources.

A colourised LIDAR point cloud of a coastal site showing the detail of the topography
One of the deliverables of this project: A colourised LIDAR point cloud of a coastal site showing the detail of the topography.

Overall, the use of a drone to map coastal sites was a highly successful approach for this project. The high-quality data captured by the drone allowed the team to create detailed 3D data to be used in their assessments of the coastline, which provided valuable insights when it was time to make decisions. The use of a drone also allowed the team to cover a large area quickly and efficiently and without putting people at risk. In the end the client was delighted with the deliverables and was happy to work with us again on other projects.

A typical image from the drone on this project showing a rocky beach area of coastline.
A typical image from the drone on this project showing a rocky beach area of coastline.
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