Field, satellite, drone and remote-sensing data collection that lands a clean, georeferenced foundation for everything downstream.

Clean data in. Everything else gets easier.

Every spatial project either starts with good data or spends its life cleaning bad data. We do the first one. Field surveys, GNSS data collection, drone capture, satellite imagery and remote sensing — captured properly, georeferenced correctly, and handed over in formats your team can actually use.

What goes in determines what comes out. Most of the analysis, mapping and modelling we do for clients sits on top of acquisition we did first.

What we acquire

Pick the methods that fit the question. Most projects use two.

Field GNSS data

Boundary, feature and asset surveys captured to the accuracy your project needs.

Drone capture

Aerial imagery, orthomosaics and surface models for areas not easily mapped from the ground.

Satellite imagery

Sourced and processed optical and radar imagery for land cover, change detection or large-area work.

Mobile data collection

Field forms, photo logging and offline-first collection apps for distributed field teams.

How acquisition runs

Plan once, capture once. Going back to site is expensive and often impossible at the same season.

01
Specification
We agree the data model, attributes, accuracy, formats and coordinate system before anyone leaves the office.
02
Field and remote capture
Teams collect ground data while drone, satellite or mobile capture runs in parallel where useful.
03
QA and cleaning
Captures are quality-checked, reprojected and cleaned. Errors are caught before the data leaves us.
04
Handover
Data goes over in agreed formats — SHP, GeoPackage, CSV, GeoTIFF — with metadata that explains what's what.

Where it feeds into

Acquisition is the start of most things downstream.

Asset and boundary mapping

Utility, parcel, infrastructure and natural feature mapping at project scale.

Baseline and monitoring

Reference datasets for EIAs, conservation programmes, agriculture and land-cover monitoring.

Engineering and planning

Design-grade ground data for roads, sites, drainage and infrastructure projects.

Capture once, properly

Most of the cost overruns we see in spatial projects start with bad capture. We over-engineer this end of the work because the rest of the project pays for it otherwise.