Part two of a three-part series on TerraEye 2.0 and the changing economics of mineral exploration.
Every exploration campaign begins with the same uncomfortable arithmetic. The ground is big, the budget is not, and every method that can prove what lies beneath the surface requires putting people on it. In remote or difficult terrain, where a single field campaign can mean helicopters, camps, and weeks of mobilisation, investigating every prospective corner of a tenement is not just expensive. It is impossible.
The discipline that separates good exploration teams from lucky ones is how they narrow the search: using the data available at each stage to shrink a vast area down to the handful of places worth the cost of boots, sensors, and eventually drills. It is exactly that narrowing process that TerraEye, the exploration targeting platform built by Wrocław-based Remote Sensing Business Solutions, has rebuilt its product around.
“This is the cheapest way to verify whether there is any potential on your terrain,” says Paweł Leśko, who leads sales at TerraEye. The platform’s satellite analysis covers an entire parcel from day one, with no mobilisation, no weather windows, and no camp. “We can show which part of your parcel seems to have the value, where to invest your money.”
Start with the layer that needs no fieldwork
Mineral exploration traditionally rests on four pillars: remote sensing, geochemistry, geophysics, and structural analysis. Three of them require someone, or something, in the field. Only remote sensing can be done entirely from a desk, which is why the sequencing matters.
“Remote sensing is the first data, the first result that you get for a new area,” says Dr Wojciech Kuloza-Kaczan, TerraEye’s head of product. “You get some idea that there is a claim to buy, and then you can bring the whole satellite dataset to the table using TerraEye.”
Satellites capture the light reflected off the Earth’s surface, and because every mineral reflects light differently, spectral analysis can classify what is likely sitting on the ground across hundreds of square kilometres at once. It cannot see beneath the surface, and TerraEye is open about that. What it can do is answer the first question every campaign faces: of all this ground, where should we even be looking?
“Before you spend money on the ground survey, you can easily, on your own, using the platform, verify the potential and have the first impression,” Leśko says.
Layering the evidence
The narrowing power multiplies when datasets are combined, and that is the heart of the TerraEye 2.0 release. Alongside its core spectral tools, the platform now carries the first iteration of geophysics tools, covering magnetometry and gravimetry, plus support for geochemical datasets.
“The idea is to bring more evidence to the table,” Kuloza-Kaczan says. “Not only spectral, but other geophysical parameters that can be used in the interpretation phase.”
Each layer answers a different question. Spectral data maps what is exposed at the surface; geophysics approximates the parameters of the ground below it; geochemistry confirms what the rocks actually contain. Individually, each is suggestive. Stacked in one 3D workspace over real terrain, they converge: an area that lights up across multiple independent datasets is a far stronger candidate for field spend than one supported by a single anomaly.
The layering does not stop at what TerraEye supplies. Among the platform’s most active users, Leśko says, a standard workflow is aggregating TerraEye results with national database layers and other purchased datasets, building a single evidence picture. That picture serves two purposes: an exploration plan for the technical team, and, for company leadership, the material that justifies the next raise. He points to a consultant client who prepares spectral overviews for a CEO ahead of investor meetings, as evidence, before any money hits the ground, that the parcel brings value.
“You can integrate this outcome not only in the first stage,” Leśko adds. “You can extrapolate results, you can cross-validate, you can check whether your prediction was right.”
The first step, then the second
What does disciplined narrowing look like in practice? Leśko offers a recent client conversation.
“He told us he used this technology as a first step, and based on this prediction, he decided to wait to invest and order geophysics,” he says. “This is the right approach.”
Note what the satellite data did there: it did not replace geophysics; it told the client when and where geophysics would be worth commissioning. That sequencing is where Kuloza-Kaczan believes the platform earns its keep.
“If you find that you have minerals here, then you can plan: okay, now we need geophysics there. We will draw the lines where we go,” he says. And when the field crews come back, the loop closes. “You can send the data to us, and we will add it to the platform as well, so we build the project together. I think the most effective usage of TerraEye now is to build the plans for exploration, and build the project from day one.”
For teams working large parcels in hard country, the payoff is precision. “Create the target and send the team directly to specific places,” Leśko says, “with a strong explanation of why, based on our 1,000-square-kilometre parcel, we decided to send them directly to this point.”
In terrain where every field day carries a cost measured in thousands of dollars, the difference between walking a whole tenement and walking six well-chosen targets is the exploration budget itself.
Minutes, not months
The economics only work if the desktop phase stays cheap and fast, and this is where TerraEye has been deliberately aggressive. There is no procurement cycle and no data wrangling: subscription pricing is published openly on the company’s website, and onboarding is measured in minutes.
“If you connect the card right now, your access is now,” Leśko says. “You can order the analysis, and you’ll have the first results in more or less 20 minutes.” He contrasts that with the traditional route: accounts with multiple data providers, requests, downloads, pre-processing, and separate licensed software to analyse each source. “In the application, you upload your GeoJSON or draw the shape, send the request, and that’s all. Make a coffee, and in 15 minutes your results are ready to go.”
For companies that would rather hand the whole process over, a full consulting engagement, from order confirmation to final report, runs four to six weeks end to end. “You can do it on your own using the platform, or you can give it to us as a task and we will do it for you,” Kuloza-Kaczan says.
The pitch, compressed to a sentence: for the price of a software subscription, an explorer can walk into a planning meeting, or an investor meeting, with every dollar of proposed ground spend anchored to layered evidence. The drills still cost what drills cost. But the decision about where to point them has never been cheaper.
Next in this series: what can you actually learn about the ground from satellite data, including what it can and cannot tell you, how reliable the results are, and where geologists and field validation still come in.
