Multi-sensor data fusion
Many independent lines of evidence, weighed into one explainable score — and an honest read on how far to trust it.
Explore the live demos to see it on real ground.
No single dataset finds a deposit. A satellite alteration anomaly, a gravity high, a geochemical spike — each one on its own is ambiguous, and chasing any of them in isolation is how exploration budgets get burned. The signal that matters is where independent lines of evidence agree. Data fusion is how MineDSS brings satellite, geophysics, geochemistry and mapped geology onto common ground and weighs them together, target by target.
One national dataset from many sources.
We standardise disparate public geoscience — across Australia, the USA and Canada — onto common ground, so your area is scored against the full picture, not a thin local slice.
Many sources
One harmonised national dataset
Standardised & searchable — no proprietary lock-in.
Australia
United States
Canada Explainable output
Each dataset becomes a line of evidence.
Every dataset becomes an independent line of evidence, brought onto common ground and weighed together:
Host rock
rock type and age
Gravity & magnetics
buried structures and intrusions
Radiometrics
potassium, thorium, uranium
Terrain shape
elevation, slope, aspect
Surface texture
radar (Sentinel-1)
Alteration
mineral signatures from satellite
Pathfinder chemistry
the elements that point to your commodity
How mineBAG combines the evidence
mineBAG weighs each line of evidence and assembles them into a plain reasoning chain for every target — you can see which signals pushed a target up the list and which pulled it down. Crucially, it also tracks how much real evidence stands behind each call: a target backed by several agreeing datasets is flagged differently from one resting on a single signal or on ground unlike anything the model has seen before. Where the evidence is thin, mineBAG says so rather than bluffing.
Independent evidence, not one dataset
Agreement across datasets that fail in different ways is far stronger than any single anomaly — and far less prone to false positives.
A reasoning chain you can defend
Every ranked target carries the evidence behind it in plain terms, so it stands up to a board, a JV partner or a regulator — not a black-box score.
An honest confidence flag
Each target is marked for how much evidence supports it, so you know which leads to back and where a few field samples would sharpen the model.
Data fusion is at the heart of mineBAG, our explainable analog engine — and it runs on the same national dataset that a custom model is tuned on.
Common questions
Why fuse datasets instead of using the best one?
Because every dataset has blind spots. Satellite reads only the surface, geophysics resolves structure and property but not chemistry, geochemistry is patchy in coverage. Fusing them means a target has to satisfy several independent lines of evidence at once — which is exactly what makes it trustworthy.
What is an 'evidence node'?
It is one coherent line of evidence — host rock, geophysical structure, radiometrics, terrain, radar texture, satellite alteration or pathfinder chemistry. MineDSS weighs these lines of evidence together, so the final ranking reflects the whole mineral system rather than any single measurement.
Is mineBAG a black box?
No — that is the point of it. Every target comes with the reasoning behind it and a flag for how much evidence stands behind that reasoning. You can check the work, defend the target, and see plainly where the model is confident and where it is guessing.
See it on your ground.
Draw an area, pick a commodity, and explore the ranked targets and the evidence behind each.
Explore the live demos to see it on real ground.