Airborne survey campaigns & remote sensing data

We run the flight and the pipeline that follows it.

Manned and unmanned aerial photography, LiDAR, thermal, multispectral and aeromagnetic campaigns — planned, flown through vetted operators, processed, and delivered as a data product an engineer can act on. Sensor and platform choice is a calculation, not a preference.

Project record
Surveva OÜ — Tallinn

Aerial capture, organised.

Mission planning, aircraft and sensor selection, field execution, processing and handover — under one project manager. We also take on the awkward scopes: a camera that has never flown, a species that has never been counted, a data pipeline that does not exist yet.

Services
Where we operate
Campaign management

Aerial survey, end to end

Mission planning, operator and airspace arrangements, flight supervision and handover — for manned and unmanned photography, LiDAR, aeromagnetic and repeat monitoring flights.

Sensors & platforms

Selection and turnkey supply

Techno-economic comparison of sensor and platform combinations against the project's real budget, followed by turnkey UAV system supply, installation, commissioning and crew handover.

Training & crews

Operators, and how to keep them

Two years of expert-level DJI equipment training behind the programme. We train onboard operators and processing staff, and place prepared specialists with companies that need capacity without headcount.

Data & consulting

Non-standard engineering scopes

Detection and inventory models on aerial data, monitoring systems built around drone-in-the-box, and software consulting where the operational process has to be designed before it can be coded.

We are a campaign and data organisation, not a maintenance or distribution business. Aircraft maintenance and repair, certified modifications and STC documentation, sensor repair and equipment logistics are contracted to specialists — we manage the interface, we do not claim the shop.

We hold no exclusive distribution channel with sensor manufacturers. Where procurement is part of the scope, we say who the supplier is and what our role in the transaction is.

Discuss a scope
Next step

Send the area and the decision the data has to support. We return a method, a configuration and a cost.

Start a scope About Surveva
Scoping

Method and cost

We state which sensor, platform and altitude answer your question, what that costs per km², and which constraints — permitting, weather window, access — the figure depends on.

Execution

Flight and field

Operators are contracted and supervised by us. Flight logs, sensor settings and ground control are recorded as they are measured, and travel with the data.

Delivery

Product, not files

Clouds, orthos and surfaces where that is the answer; a trained model, a web monitoring system or a written recommendation where it is not.

Forestry

Timber volume from a neural model

LiDAR, aerial photography and multispectral capture combined into a model estimating standing volume and species composition across a contiguous forest block. Individual crowns are segmented from the point cloud, then height and spectral signature drive the volume estimate per tree.

Survey multirotor in flight, sensor payload mounted underneath
Survey platform — LiDAR and camera payload.
Canopy height model, crowns coloured by height over bare-earth grey
Canopy height model — crowns coloured by height above ground.
Vertical slice of the point cloud with each tree segmented in its own colour
Cross-section — per-tree segmentation of the point cloud.
Plan view of segmented crowns, one colour per tree
Plan view — individual crowns isolated.
Crown outlines vectorised over the RGB orthophoto
Crown outlines vectorised over the orthophoto.
Public sector

State landfill monitoring system

Oblique aerial view of an active landfill face with sorting sheds and haul road
Site as flown — active face, sorting yard and access road.
Split view comparing the orthophoto against a colour-shaded elevation model
Orthophoto against the elevation model — fill volume by epoch.
Orthomosaic of the landfill footprint registered onto a topographic basemap
Footprint georeferenced onto the public basemap.
Thermal point cloud of the site, warm anomalies picked out against cool ground
Thermal point cloud — surface temperature per return.
Oblique view of the thermal point cloud showing a hot zone on the tip surface
Hot zone on the tip surface, flagged for inspection.

A national monitoring service built on drone capture — photography, LiDAR and thermal — with drone-in-the-box stations feeding a web application used to track sites over time. Repeat flights give fill volume between epochs; the thermal channel flags subsurface combustion before it surfaces.

Sensor revival

Legacy large-format camera

Legacy large-format aerial camera, restored to operational status
Camera as returned to service — legacy optical system, current-generation electronics.

A large-format aerial camera, out of manufacturer support for more than five years, arrived unusable — no integrated flight management system, and its data recorders had failed. We built a current FMS integration around the sensor and re-engineered the recording chain to write to modern storage media, returning it to full operational status at a fraction of replacement cost. Not every capability gap calls for a new purchase — where the budget is not there, what is already on the shelf is often worth a second look before it gets written off.

Operator training

Sensor operators, trained past the manual

Most in-house operator training stops at the manual — or, at best, a checklist and an SOP — which control drives which setting on a given sensor. We train past that: what an aircraft is actually doing in flight, how weather constrains and shapes a mission, how weather feeds into photography, and how photography works as a physical process before it becomes a checklist step. An operator who understands why a setting exists makes better calls under pressure than one who has only memorised what to set it to. Companies that have put crews through the programme report a clear step up in competence once those operators are back on live work.

Course slide: true heading and ground track measured from true north
Understanding the flight
Course slide: the exposure triangle for aerial photography
Photography fundamentals
Course slide: drift angle and its effect on image footprints
How flight parameters reach the data
Course slide: weather forecast models and their characteristics
Understanding the weather
Course slide: cloud types and their effect on optical imagery
Judging data quality
Aircraft sourcing

Manned aircraft, sourced for stalled UAV projects

We hold sourcing relationships across multiple regions and can identify manned aircraft when a UAV-based campaign is not moving fast enough to hit its deadline. Sometimes that becomes the primary route to the deliverable; sometimes it sits as a reserve plan, held in case the drone track does not clear in time. We install sensors on manned aircraft either way - aircraft already configured for aerial survey work, and aircraft with no sensor provision at all, where the mount, power and data path have to be engineered before the payload is airworthy. We have carried out that integration on dozens of specialised aircraft types and bring that experience into each new sourcing scope.

Light twin-engine aircraft on an apron in front of an open hangar
Cessna P210 Pressurized Centurion equipped with a side pod
Beechcraft King Air C90 with a survey modification parked in front of a hangar
Survey-modified C90
Single-engine Cessna with wing strut mounts parked on an apron in front of a hangar
Unmodified WSM-equipped aircraft, ready for drone-payload installation.
Conservation

Coastal litter detection, nature reserve

Trained a detection algorithm on reserve coastline imagery, validated the output during the physical clean-up, and wrote the ecological recommendations that followed from the distribution.

Satellite

Satellite imagery georeferencing

Delivered an imagery georeferencing project with a Chinese satellite operator, and hold the direct relationship that allows tasking and imagery supply for later scopes.

An operating company in Tallinn: aerial survey campaign management, remote sensing data products and the consulting around both. Owner-managed, with a partner network instead of a payroll.

The practice grew out of running survey work as a business rather than as a department: building the process, pricing the flight, training the operators and answering for the deliverable. That is still how projects are staffed — a project manager who has flown the mission type, plus contracted capacity sized to the scope.

We work in English, manage teams and subcontractors of up to ten people per campaign, and take processing-only scopes where the field data is already yours.

Send scope

Your mail client should open with the scope addressed to hello@orionsurveva.com. If it does not, write to us directly at that address.

For manufacturers and integrators: we take sales support and training assignments where your own team cannot reach the site in time. Send the equipment list and the customer's timeline.