---
title: "Access roads of a wind farm | SensorFlight"
canonical_url: https://sensorflight.com/en/case-studies/caminos-acceso-eolico-kirklareli/
language: en
---

# The real condition of a wind farm's access roads

Energy. Location: Kırklareli, Turkey. Year: 2026.

Before turbines move, you need to know where they will pass. At a wind farm in Kırklareli our partner MapSurvey documented every access road with drone photogrammetry on a GNSS network set up for the site.

## What the project needed

Abnormal loads of blades, towers and nacelles impose widths, radii and maximum gradients. The developer needed the existing state of each road to decide where to widen, where to ease bends and where to strengthen the pavement, with data that holds up in a discussion with the haulier.

## Why photogrammetry on a GNSS network

Roads are long, narrow linear features. Drone photogrammetry covers them in quick passes and returns imagery and surface together, enough to measure widths, crossfall and gradients on open pavement. The GNSS network established for the site ensures every road shares its reference with the rest of the wind farm project and with construction setting out. As a general rule, LiDAR would only add value if the verges were under dense vegetation.

## What was delivered

The same set of three products for each road.

- **3D model of each road**: Visual review of bends, junctions and roadside obstacles with the haulier.
- **Orthophoto of each road**: Measuring widths and pavement condition on a georeferenced image.
- **Surface model of each road**: Gradients, crossfall and profiles for the transport study.

## If you have a similar project in Spain

Ask for the products in ETRS89 and the UTM zone of the wind farm, with the surface model in a format your alignment software reads and the orthophoto as GeoTIFF or ECW; if you want widths and radii already measured, also request centreline and edges as DWG or DXF. To quote, we need the road alignments as KMZ, their total length and the dimensions of the planned transport.

## Technical sheet

- Scope: Access roads to a wind farm
- Method: Drone photogrammetry
- Control: GNSS network established for the site
- Delivery: 3D model, orthophoto and surface model per road
- Year: 2026
- Executed by: MapSurvey, SensorFlight's technical partner

## A project by our technical partner

This work was carried out by MapSurvey, our technical partner in Turkey, measuring since 2015. In Spain, SensorFlight handles the fieldwork and the client relationship, and MapSurvey processes the data and delivers the models. Samet Bayram Gulyol, GIS expert at MapSurvey, is SensorFlight's technical lead.

See the original project sheet on mapsurvey.eu: https://www.mapsurvey.eu/projects/wind-farm-access-road-survey

## Have a similar project?

Tell us the area, the timeframe and the deliverables you need and we will prepare a proposal.

- Email: info@sensorflight.com
- Phone: +34 690 00 02 13