Lunar Data Atlas

Complete catalog of scientific data layers integrated into the Moonresource platform. Every layer carries full provenance — source agency, mission, instrument, spatial resolution, confidence classification, and academic citation. Moonresource-derived layers are clearly distinguished from source data.

Understanding Layer Types

SOURCE Direct Mission Data
Original measurements from lunar missions. Published by NASA, USGS, or partner agencies. Unmodified scientific products with known uncertainty characteristics. Examples: LOLA altimetry, Clementine spectral maps, LP neutron spectrometer data.
NORMALIZED Processed Data
Source data that has been calibrated, reprojected, or derived through standard geoscience processing. Still publicly attributable. Examples: hillshade from LOLA DEM, ilmenite estimates from spectral ratios.
DERIVED Moonresource Intelligence
Composite indices and planning scores computed by Moonresource from multiple source layers through weighted models. Proprietary methodology. Available to Professional subscribers. Examples: Settlement Suitability Index, Landing Safety Score.

Base Layers

Optical Basemap (WAC Global Mosaic)
SOURCE · NASA / Arizona State University · LRO Wide Angle Camera

Global lunar surface mosaic from the LRO Wide Angle Camera. Radiometrically calibrated at 643 nm. Serves as the primary visual reference for all overlay analysis.

Resolution100 m/px
CoverageGlobal
ConfidenceHigh
ProjectionSimple Cylindrical
Robinson, M.S., et al. (2010). Lunar Reconnaissance Orbiter Camera (LROC) Instrument Overview. Space Science Reviews, 150, 81–124.

Terrain Layers

LOLA Digital Elevation Model
SOURCE · NASA / GSFC · Lunar Orbiter Laser Altimeter

Global topographic model from LOLA altimetry. Elevation in meters relative to a 1737.4 km reference sphere. Fundamental input for slope analysis, illumination modeling, and terrain assessment.

Resolution118 m/px
CoverageGlobal
ConfidenceHigh
UnitsMeters
Smith, D.E., et al. (2017). Summary of the Results from the Lunar Orbiter Laser Altimeter after Seven Years in Lunar Orbit. Icarus, 283, 70–91.
Crustal Structure Model (GRAIL)
SOURCE · NASA / MIT · GRAIL Gravity Recovery

Modeled crustal thickness and layered structure from GRAIL gravity data and Apollo seismic observations. Enables subsurface cross-section visualization showing regolith, megaregolith, upper and lower crust, mantle, partial melt zone, and core.

Resolution~27 km
CoverageGlobal
ConfidenceMedium
Unitskm (depth)
Wieczorek, M.A., et al. (2013). The Crust of the Moon as Seen by GRAIL. Science, 339(6120), 671–675.

Resource Layers

Hydrogen Concentration (Epithermal Neutron Proxy)
SOURCE · NASA / LANL · Lunar Prospector Neutron Spectrometer

Hydrogen concentration inferred from epithermal neutron suppression. Elevated hydrogen levels correlate with potential water ice deposits, particularly in permanently shadowed regions near the lunar poles. A critical dataset for ISRU water extraction planning.

Resolution~45 km
CoverageGlobal
ConfidenceMedium
Unitsppm (H equivalent)
Feldman, W.C., et al. (2001). Evidence for Water Ice near the Lunar Poles. Journal of Geophysical Research, 106(E10), 23231–23251.
Iron (FeO) Abundance
SOURCE · NASA / USGS · Clementine UV-VIS / LP GRS

Weight percent FeO derived from Clementine multispectral imagery calibrated against Lunar Prospector gamma-ray data. Key indicator for basaltic mineralogy, regolith maturity assessment, and ISRU feedstock evaluation.

Resolution~1 km
CoverageGlobal (±70° latitude)
ConfidenceMedium
Unitswt% FeO
Lucey, P.G., et al. (2000). Lunar Iron and Titanium Abundance Algorithms Based on Final Processing of Clementine UV-VIS Images. JGR, 105(E8), 20297–20305.
Titanium (TiO₂) Abundance
SOURCE · NASA / USGS · Clementine UV-VIS

Weight percent TiO₂ from Clementine UV-VIS data. High-titanium basalts are priority targets for oxygen extraction via ilmenite reduction — one of the most studied ISRU pathways for lunar operations.

Resolution~1 km
CoverageGlobal (±70° latitude)
ConfidenceMedium
Unitswt% TiO₂
Lucey, P.G., et al. (2000). Lunar Iron and Titanium Abundance Algorithms. JGR, 105(E8), 20297–20305.
Helium-3 Concentration Estimate
SOURCE · NASA / Univ. of Wisconsin · LP / Apollo Samples

Estimated He-3 abundance from solar wind implantation models. Helium-3 is a potential fuel for aneutronic fusion reactors and one of the most discussed long-term economic drivers for lunar resource extraction. Concentration correlates with regolith maturity, titanium content, and cumulative solar exposure.

Resolution~2 km
CoverageGlobal
ConfidenceLow (model-dependent)
Unitsppb (weight)
Fa, W. & Jin, Y. (2007). Quantitative Estimation of Helium-3 Spatial Distribution in the Lunar Regolith Layer. Icarus, 190(1), 15–23.
Ilmenite (FeTiO₃) Concentration
NORMALIZED · NASA / USGS · Clementine / LP

Estimated ilmenite mineral concentration derived from FeO and TiO₂ abundance data. Ilmenite is the primary feedstock for lunar oxygen extraction via hydrogen reduction — the most technologically mature ISRU pathway currently under development.

Resolution~1 km
CoverageGlobal (±70° latitude)
ConfidenceMedium
Unitsvol%
Gillis-Davis, J.J., et al. (2006). Lunar Surface Geochemistry: Global Concentrations of Th, K, and FeO. GCA, 70, 6079.
Thorium (Th) Abundance
SOURCE · NASA / LANL · LP Gamma-Ray Spectrometer

Thorium concentration from Lunar Prospector Gamma-Ray Spectrometer. Thorium is a key tracer for KREEP-rich materials (potassium, rare earth elements, phosphorus) and radiogenic heat sources in the lunar interior.

Resolution~60 km
CoverageGlobal
ConfidenceMedium
Unitsppm
Lawrence, D.J., et al. (2003). Small-Area Thorium Features on the Lunar Surface. JGR, 108(E9), 5102.

Illumination Layers

Permanently Shadowed Regions (PSR)
SOURCE · NASA / GSFC · LRO / LOLA Illumination Model

Regions receiving zero direct solar illumination over a full lunar year. These are the prime candidates for volatile cold-trapping — particularly water ice — and are central to the scientific rationale for lunar polar exploration and Artemis program site selection.

Resolution240 m
CoveragePolar (>80° latitude)
ConfidenceHigh
UnitsBinary (shadowed / illuminated)
Mazarico, E., et al. (2011). Illumination Conditions of the Lunar Polar Regions Using LOLA Topography. Icarus, 211(2), 1066–1081.

Derived Planning Layers PROFESSIONAL

These composite indices are computed by Moonresource from multiple source layers through weighted analytical models. Available to Professional subscribers. Full methodology documentation →

Settlement Suitability Index
DERIVED · v0.3.1
Composite score integrating terrain stability, illumination continuity, resource proximity, and landing accessibility. 7 input layers, weighted linear combination.
Solar Continuity Score
DERIVED · v0.2.0
Percentage of lunar year with direct solar illumination per grid cell. Critical for power system planning at polar sites.
Resource Accessibility Index
DERIVED · v0.2.1
Composite score factoring distance to high-value resources, terrain traversability, and estimated transport energy cost.
Landing Site Safety Score
DERIVED · v0.3.0
Multi-criteria safety assessment for robotic and crewed landing: slope, roughness proxy, hazard proximity, approach corridor clearance.