Earth Observation. Decisions on the Ground.

Earth Observation (EO) is the gathering of data about our planet's surface and atmosphere from satellites and other platforms, without any physical contact with the object being studied. Modern satellites deliver regular, objective and time-comparable data over large areas, across several ranges: optical, radar (which works through clouds and at night) and thermal. At Stelleo we do not sell "images for the shelf", we turn orbital data into concrete knowledge that supports decisions. We combine satellite data, geospatial technologies (including LiDAR) and artificial intelligence to optimise processes and reduce risk. Our solutions are aimed mainly at small and medium-sized enterprises, local government units and non-governmental organisations, in areas such as the environment, forestry, infrastructure and crisis management.

The highest resolution does not always mean the highest value, because it all depends on the use case. Commercial very high resolution optical satellites, such as Pléiades Neo or Maxar, reach around 30 cm per pixel and are ideal where detail matters, for example in infrastructure analysis. Open data from the Copernicus programme, namely Sentinel-2 (10 m, multispectral, with red-edge and SWIR bands) and Sentinel-1 (SAR radar that works day and night regardless of weather), is in turn the core tool for environmental monitoring at scale. Radar penetrates clouds and needs no sunlight, while optical data provides rich spectral information about vegetation condition. The value of data lies in matching the sensor (resolution, spectral ranges, revisit frequency, cost) to a specific decision, and in many environmental tasks free Sentinel data combined with AI analysis delivers a better return than expensive premium imagery. We help select the right combination of sources for a given problem.

Satellite data and traditional methods (aerial surveys, LiDAR, field measurements) complement each other, because each is suited to something different. A satellite covers large areas, revisits the same place regularly and has a low cost per square kilometre, but it offers less detail and can depend on the weather (optical data). Aerial surveys, LiDAR and drones provide very high detail and 3D information (point clouds), they are precise but costly, captured at a single point in time, and they require planning and suitable conditions. Field measurements offer the highest accuracy at a given point and serve as ground truth for calibration and validation. In practice we usually combine these levels, for example using a satellite to flag areas that need attention and then directing aerial or field measurement there. Stelleo bridges both worlds, so we help you choose the cheapest and fastest path to a reliable result.

ForeSat is a digital forest twin and a geospatial analytics platform for assessing the condition of forest stands and detecting threats early. It combines data from multiple sensors (Sentinel-1 radar together with Sentinel-2 red-edge and SWIR bands) with AI-based classification, in order to detect vegetation stress before it becomes visible to the naked eye. The analyses run over time, which makes it possible to track changes between inventory cycles and addresses the real problem of data currency in multi-year forest management plans. As a result, a forest can be monitored continuously rather than only once every few years. ForeSat supports the early detection of drought effects, insect outbreaks and disease, as well as operational risk assessment. The solution is aimed at organisations responsible for forest management and environmental monitoring.

ASPIS is a hyperlocal weather alerting system, designed with IoT automation in mind. The difference from a standard forecast is fundamental: a typical forecast covers a large area (a city or a region) at coarse resolution, whereas ASPIS targets sub-kilometer resolution and a short time horizon, meaning an alert for a specific location. We combine radar data, EUMETSAT lightning detection, and weather and satellite data to predict threats with lead times measured in minutes. The working MVP is already live in production — the weather dashboard, the interactive layered map and push, SMS, Telegram and email alerts are available today, with automatic IoT response as the next step. ASPIS does not stop at a notification: it will ultimately trigger automated actions (closing gates, shutters, or anti-hail nets) and integrate with on-site systems. We are building the solution to protect assets and ensure operational continuity against severe weather such as hail and storms, and we address it to both business and individual users.

OptiFlow is a service for auditing and optimising geoinformatics processes, available right now. It consists of reviewing your spatial data workflows in order to find bottlenecks, automate repetitive steps and speed up processing at a lower cost. We use automation in FME, scripting and process redesign, drawing on many years of experience in processing LiDAR, imagery and GIS data. An audit makes sense when a team loses a lot of time on manual and repetitive operations, deals with large data volumes, or wants to scale work without a proportional increase in headcount. The result is faster processes, fewer errors and real time savings. It is a service available off the shelf that we tailor to the scale and specifics of your data.

Yes, we run training, but we deliver it on request and to order, tailored to the client and their specific needs. We do not offer ready-made off-the-shelf courses, only a programme built around an organisation's real processes, data and tools. The scope covers, among others, GIS and QGIS, LiDAR and point cloud processing, automation in FME, aerial photogrammetry, and other areas of geospatial data processing. The training is delivered by practitioners with many years of experience in geoinformatics projects, including FME Certified Professional certification. We agree the scope, format and level together after a short needs analysis. To discuss training tailored to your team, get in touch with us.

Stelleo's solutions are aimed primarily at small and medium-sized enterprises, local government units and non-governmental organisations, as well as organisations in forestry, agriculture, infrastructure, energy and the environment. We help both those who need a ready analysis or product and those looking for consulting, an audit or bespoke training. The best way to start working together is a short conversation in which we define the problem and the goal together. On that basis we propose the next step, for example a pilot, an audit or the deployment of a specific analysis. We work flexibly, adapting the scope to the client's scale and budget. The simplest way is to write to us describing your challenge, at contact@stelleo.eu .