1. Prospect
Use spectroscopy, radar, neutron mapping, gravimetry, thermal inertia, and sample scouting to identify resources.
Space mining and ISRU
Space mining is not just digging. It is prospecting, geotechnics, excavation, beneficiation, chemistry, power, autonomy, transport, law, and economics.
Workflow
Use spectroscopy, radar, neutron mapping, gravimetry, thermal inertia, and sample scouting to identify resources.
Measure grain size, volatile content, mineralogy, mechanical strength, accessibility, and contamination risk.
Use bucket wheels, drills, augers, pneumatic concepts, electrostatic handling, or thermal mining depending on body and resource.
Separate useful material through sieving, magnetic/electrostatic sorting, heating, sublimation, or chemical processing.
Produce oxygen, water, metals, propellant feedstocks, shielding material, or construction aggregate.
Cryogenic storage, pressure vessels, sintered pads, radiation shielding, habitats, fuel depots, and exported products.
Targets
Water ice in permanently shadowed regions could support propellant and life-support chains.
Oxygen bound in oxides, glass, silicon, aluminum, titanium, iron, and shielding mass.
Metal-rich and volatile-rich bodies offer scientific and future industrial targets.
Atmospheric CO2, water ice, regolith, and local construction materials support human exploration.
Low-gravity staging concepts and uncertain resource value need better reconnaissance.
Volatile-rich but dynamically challenging; more relevant to science than near-term mining.
Reality Check
Earth launch costs, autonomy, reliability, market timing, and product location dominate feasibility.
Resource rights, non-appropriation, safety zones, debris, heritage sites, and international norms matter.
Excavation and processing require large, reliable power in harsh thermal and lighting conditions.
Planetary protection, scientific preservation, lunar heritage, and debris mitigation cannot be afterthoughts.
A demo gram is different from industrial tonnes. Materials handling is the real mountain.
Remote sites and light-time delay require robots that can handle uncertainty without constant human steering.
Mathematical model
Engineering models are procedural, dimensionally organized teaching models. They use geometric primitives, known subsystem layout, symmetry, and transformation matrices; they are not generated from a visual image and are not exact manufacturing CAD.
Every component is positioned by translation T, rotation R, and scale S. This gives a reproducible mathematical scene graph instead of freehand drawing.
Repeated structures such as solar panels, trusses, engines, wheels, and array segments are generated by rotational or translational symmetry.
Where the page presents relative component sizes, the scene preserves those ratios or states when readability scaling is applied.
Verification standard: the rendered object must be reproducible from stated equations, catalog parameters, or explicit geometric transforms. Visual reference images may inform presentation only; they are not the source of orbital positions, field vectors, accretion-disk gradients, timing, or engineering layout.
Limitations: browser scenes may use bounded scale, compressed distances, simplified two-body dynamics, schematic transfer curves, or educational approximations where full numerical ephemerides, CFD, finite-element models, or general-relativistic ray tracing are outside the page scope. Those simplifications are part of the model contract, not hidden image-based construction.