Drone Survey Deliverables in Costa Rica, Explained

When you commission a drone survey in Costa Rica, the flight itself is over in half an hour. The thing you are actually paying for arrives days later, as a set of files: an orthomosaic, a DTM, a DSM, a point cloud, maybe contours and a 3D model. For anyone who does not work in surveying every day, that list reads like alphabet soup — and it makes it genuinely hard to know what you are buying, what to ask for, or whether a quote includes what your engineer needs.

This guide fixes that. It walks through every standard drone survey deliverable in plain language: what each one is, what it looks like, the file format you should request, and the projects it is used for. By the end you will be able to read a survey quote confidently and tell us exactly which outputs your project needs — which is also the fastest route to an accurate price on our quote calculator.

The orthomosaic: a map-accurate aerial image

The orthomosaic is usually the first deliverable people picture when they think of a drone survey, and it is the one non-specialists find most immediately useful. It is built by stitching together hundreds of overlapping aerial photos and then orthorectifying them — mathematically removing the lens distortion and the perspective tilt so that every pixel sits in its true geographic position. The result looks like a single seamless photograph of your site from directly overhead, but unlike a normal photo it is to scale everywhere. You can measure a distance, an area or a boundary directly off it and get a real-world number.

Orthomosaics from a survey drone are dramatically sharper than anything you get from satellite imagery or Google Earth — we routinely capture ground resolution of a couple of centimetres per pixel, fine enough to read a manhole cover, a fence line or a coffee row. They are delivered as a GeoTIFF (a geo-referenced image that drops straight into GIS or CAD with its coordinates intact) or as a high-resolution JPG or PNG for presentations and reports. Landowners, real estate agents and planners often need nothing more than a crisp, current orthomosaic; it is the workhorse behind our real estate mapping and aerial survey work.

DTM vs DSM: the two elevation models that cause the most confusion

This is the single most misunderstood pair of terms in the whole field, and getting it right matters because ordering the wrong one can stall an engineering design. Both are elevation models — a grid where every cell carries a height value — but they describe different surfaces.

The DSM (Digital Surface Model) records the top of everything the drone can see: the bare ground plus the buildings, the tree canopy, the walls and anything else standing on the site. If a forest is 20 metres tall, the DSM shows the top of the forest. It is the right model for line-of-sight studies, measuring building or canopy heights, solar shading analysis, and giving an as-built picture of a developed site.

The DTM (Digital Terrain Model) is the bare earth with all of that stripped away — the ground surface as if every building and tree had been removed. This is what civil engineers, road designers and drainage specialists actually design on, because they need the shape of the land itself, not the vegetation sitting on it. Producing a clean DTM means classifying the point data to separate ground from non-ground, which is partly automated and partly manual quality control.

Here is where Costa Rica makes the distinction especially important. Under dense tropical canopy, a camera-based photogrammetry survey only sees the top of the trees — it can build a fine DSM but struggles to produce a trustworthy bare-earth DTM, because it never saw the ground. LiDAR pulses, by contrast, slip through gaps in the foliage and record returns from the actual forest floor, which is why we lean on it so heavily for mapping under Costa Rica's canopy. If your site is vegetated and you need a bare-earth model, that choice between sensors is the whole ballgame — our LiDAR vs photogrammetry guide covers exactly when each one wins.

The point cloud: the raw 3D data behind everything

A point cloud is the richest deliverable and, for technical users, often the most valuable. It is a set of millions — sometimes hundreds of millions — of individual measured points, each with an X, Y and Z coordinate and usually a colour value taken from the imagery. Together they form a dense, fully three-dimensional replica of your site that you can rotate, slice and measure from any angle. Every other elevation product — the DTM, the DSM, the contours — is derived from this cloud.

Point clouds are delivered as LAS files, or LAZ, which is simply the compressed version that is far smaller to transfer without losing any data. A LiDAR point cloud can also be classified, meaning each point is tagged as ground, vegetation, building and so on, which is what lets us extract a bare-earth DTM from a forested site. Engineers, architects and BIM teams import the cloud directly into their design software to build models, run sections and check clearances. It is the same underlying data that powers immersive outputs like 3D visualization and Gaussian splatting, where the point data becomes a photorealistic, explorable model rather than a technical file.

Contours, breaklines and CAD-ready files

For anyone who has to design on the land — a house, a road, a drainage system, a retaining wall — the deliverable that matters most is contours in a CAD file. Contour lines connect points of equal elevation, turning the terrain model into the familiar topographic map that engineers and architects work from. We generate them from the DTM at whatever interval you specify: a fine 0.25 m interval for a flat building plot where every centimetre of grading counts, or a 1 m interval for a large rural parcel where the broad shape is what matters.

Crucially, these are delivered as DWG or DXF — the native formats of AutoCAD and Civil 3D — so your engineer opens the file and starts designing with no conversion step. The same CAD package can carry breaklines (sharp features like the edge of a road, a ridge or a ditch that contours alone would smooth over), spot heights at key points, and the property boundary itself. This is exactly the deliverable set behind a drone topographic survey, and when the job involves confirming a registered parcel it ties into the property boundary verification work and the local plano catastro system. GIS users who prefer to work in QGIS or ArcGIS receive the same features as SHP (shapefile) instead of CAD — just tell us which platform you use.

Volume reports, 3D models and the specialist outputs

Beyond the core mapping set, a drone survey can produce targeted deliverables for specific jobs. Volume reports calculate the cubic metres of material in a stockpile or the cut-and-fill on an earthworks site by comparing the surface against a base plane — the backbone of our stockpile volume measurement service, delivered as a tidy PDF with per-pile figures plus the annotated model. Textured 3D models (OBJ files, or a link to a web viewer) wrap the geometry in real imagery to create a photorealistic digital twin that is ideal for client presentations, marketing and stakeholder buy-in. And for repeat monitoring — a construction site, an eroding coastline, a growing quarry — the real deliverable is a time series: the same site flown on a cadence so you can measure change between dates.

One point that underpins all of these outputs: a deliverable is only as trustworthy as the survey control behind it. Ground control points and RTK positioning are what lock every file to real-world coordinates and give you the centimetre-level confidence that lets an engineer or an auditor rely on the numbers. If accuracy is critical to your project, it is worth understanding how that is achieved before you commission the work — our guide to drone survey accuracy explains what actually drives the precision of everything described above.

Which deliverables does your project actually need?

You rarely need all of them, and paying for outputs you will not use is wasteful. Here is a quick way to match the deliverable to the job:

The best thing you can do to get an accurate quote fast is tell us two things: what you are trying to achieve, and what software your engineer or architect uses. From there we recommend the right deliverable set and supply it in the format that opens cleanly on their machine — no conversion, no missing coordinates, no surprises. If you are still weighing whether a drone survey is the right approach at all versus a traditional crew, our drone survey vs ground survey comparison is a good companion read, and our 2026 cost guide breaks down what all of this typically costs.

Ready to move? Our online quote calculator takes your location and project size and returns a free, same-day estimate — and if you would rather just describe the job to a person who has flown hundreds of these, a quick WhatsApp message gets you a straight answer on which deliverables you need.